Florida State University Libraries Electronic Theses, Treatises and Dissertations The Graduate School 2009 Enzymatic Hydrolysis of Cellulose in a NMMP/H2O Solution Rilwan Oyetunji Follow this and additional works at the FSU Digital Library. For more information, please contact [email protected] FLORIDA STATE UNIVERSITY COLLEGE OF ENGINEERING ENZYMATIC HYDROLYSIS OF CELLULOSE IN A NMMO/H2O SOLUTION By RILWAN OYETUNJI A Thesis submitted to the Department of Chemical Engineering in Partial Fulfillment of the requirements for the degree of Master of Science Degree Awarded: Spring Semester, 2009 The members of the Committee approve the Thesis of Rilwan Oyetunji defended on April 3, 2009 __________________________ Subramanian Ramakrishnan Professor Co9Directing Thesis __________________________ John Collier Professor Co9Directing Thesis __________________________ Billie Collier Outside Committee Member Approved: _________________________________________________________________ Bruce Locke, Chair, Chemical Engineering _________________________________________________________________ Ching9Jen Chen, Dean, College of Engineering The Graduate School has verified and approved the above named committee members. ii I dedicate this thesis to my Spouse Wumi for her overwhelming encouragement, my family members for their unfailing support, all my friends and colleagues: who never failed to tell me the truth even when I did not want to hear it, to God for His infinite mercies and for making all these wonderful people a part of my life. iii ACK OWLEDGEME TS First and foremost, I would like to acknowledge my Advisors: Dr Ramakrishnan and Dr Collier, for their: ideas, trust, guidance and support throughout the program. This thesis would not have been complete without their detailed comments, suggestions and encouragements. I would also like to acknowledge Dr Paravastu for letting me use his laboratory to analyze the results of the experiment, and my colleagues: Brett, Brian, Colt, Daniel, Elizabeth, and Rachel for their ideas and help in performing the experiments. Finally I would like to acknowledge the Department of Chemical and Biomedical Engineering for accepting me into the program, The PREM foundation and Sun Grant for supporting the research, and members of the FAMU9FSU College of Engineering who helped me in one way or the other in setting up the experiments. iv TABLE OF CO TE TS ACKNOWLEDGEMENTS ........................................................................................................... iv TABLE OF CONTENTS ................................................................................................................ v LIST OF TABLES ....................................................................................................................... viii LIST OF FIGURES ........................................................................................................................ ix Abstract ........................................................................................................................................... x Chapter 1 Introduction .................................................................................................................... 1 1.1 Problem Identification ........................................................................................................... 2 1.2 Project Objectives .................................................................................................................. 3 Chapter 2 Literature Review ........................................................................................................... 4 2.1 Introduction ........................................................................................................................... 4 2.2 Cellulose ................................................................................................................................ 4 2.3 Glucose .................................................................................................................................. 5 2.4 Cellulose Hydrolysis ............................................................................................................. 7 2.4.1 Acid Hydrolysis Method ................................................................................................. 8 2.4.2 Enzymatic Hydrolysis Method ....................................................................................... 9 2.5 Pretreatment Processes .......................................................................................................... 9 2.6 Enzymatic Hydrolysis of Cellulose ..................................................................................... 11 2.6.1 Understanding the Cellulase System ............................................................................ 11 2.6.2 Understanding the Lignocellulosic Substrate ............................................................... 12 2.6.3 Understanding the Enzyme9Substrate Interaction ........................................................ 13 2.6.4 Understanding the Inhibition or Deactivation of the Enzyme ...................................... 14 2.6.5 Description of the Cellulose Hydrolysis Kinetics ......................................................... 14 2.7 The Purpose of this Research .............................................................................................. 20 Chapter 3 Experimental Methodology .......................................................................................... 22 3.1 Introduction ......................................................................................................................... 22 3.2: Estimation of Reducing Sugars by DNS Method .............................................................. 22 3.2.1 – Theory Behind the DNS Method ............................................................................... 22 3.2.2 – Preparation of DNS Reagent ...................................................................................... 23 3.2.3 – Determination of Absorbance Vs Concentration Calibration Points ......................... 24 3.3: Estimation of Enzyme Activity by the Filter Paper Unit (FPU) Method .......................... 26 v 3.4: Preparation of NMMO.x H20 ............................................................................................ 27 3.5: Preparation of 1% Cellulose Solutions .............................................................................. 28 3.6: Protocol for enzyme reactions ........................................................................................... 28 Chapter 4 Results .......................................................................................................................... 30 4.1 Enzyme Activity /FPU Determination of Accelerase™1000 and Spezyme® Cellulase .... 30 4.2 Effect of NMMO on the Enzymatic Hydrolysis of Cellulose ............................................. 33 4.2.1 Yield of Reducing Sugars for Different Concentrations of NMMO mixed with Cellulase................................................................................................................................. 33 4.2.2 Comparison of NMMO/Cellulase Solution with Acetate Buffered Solution of various pH for 1 Hr Reaction with Genencor Spezyme® ................................................................... 35 4.2.3 Comparison of NMMO/Cellulase Solution with Acetate Buffered Solution of Various pH for 3 Hr Reaction with Accelerase™1000 Cellulase ....................................................... 37 4.2.4 Effect of Cellulase on Cellulose Dissolved in NMMO and Filter paper in acetate buffer or NMMO medium ................................................................................................................ 37 4.3 Factors That Affect The Enzymatic Hydrolysis .................................................................. 41 4.3.1 Effect of Temperature .................................................................................................. 45 4.3.2 Effect of Enzyme Loading ........................................................................................... 50 4.3.3 Effect of pH................................................................................................................... 54 4.4 Interaction Between Temperature and pH ........................................................................... 59 Chapter 5 Conclusions .................................................................................................................. 63 Chapter 6 Recommendations ........................................................................................................ 65 APPENDIX A Sugar Yields (mg/mL) as a function of Time ....................................................... 66 APPENDIX A.1 40C DATA ..................................................................................................... 66 APPENDIX A.2 50C DATA ..................................................................................................... 71 APPENDIX A.3 60C DATA ..................................................................................................... 76 APPENDIX B. Percentage Cellulose Conversion as a function of Time ..................................... 81 APPENDIX B.1 40C DATA ..................................................................................................... 81 APPENDIX B.2 50C DATA ..................................................................................................... 86 APPENDIX B.3 60C DATA ..................................................................................................... 91 APPENDIX C Dilution, Weight of 1% lyocell solution and Enzyme activity for each experiment ....................................................................................................................................................... 96 REFERENCES:............................................................................................................................. 98 vi BIOGRAPHICAL SKETCH ...................................................................................................... 102 vii LIST OF TABLES Table 2. 19 Relationship Between Structural Feature and Enzyme Digestibility1 .......................... 5 Table 2. 29List of Assumptions from Authors that have modeled the Hydrolysis Process .......... 17 Table 3. 19Glucose Concentration versus Absorbance Data ......................................................... 25 Table 4. 19pH of NMMO Solution after Cellulase Addition versus Concentration of water in NMMO solution ............................................................................................................................ 35 Table 4. 29 Percentage Conversion of Cellulose at 40C and 50C, pH 5.7 and 7.4, and Enzyme Loading of 122 FPU/g ................................................................................................................... 44 Table 4. 39Percentage Conversion of Cellulose at Different Temperatures, Enzyme Loading and pH after 24 Hours Enzymatic Reaction......................................................................................... 48 Table 4. 49Percentage Conversion of Cellulose at Different Temperature, Enzyme Loading and pH after 3 Hours Enzymatic Reaction........................................................................................... 49 Table 4. 59Percentage Conversion of Cellulose at Different Temperatures and Enzyme Loading at pH 7.4 after 24 Hours Enzymatic Reaction ............................................................................... 53 Table 4. 69Percentage Conversion of Cellulose at Different Temperatures and Enzyme Loading at pH 5.7, after 24 Hours Enzymatic Reaction .............................................................................. 53 Table 4. 79 Percentage Conversion of Cellulose at Different Temperatures, pH and Enzyme Loadings, after 24 Hours Enzymatic Reaction.............................................................................. 58 viii LIST OF FIGURES Figure 2. 19 Diagram of Glucose, Cellulose and Amylose ............................................................. 7 Figure 2. 29Lignocelluloses organization into elementary fibrils and microfibrils7 ..................... 13 Figure 2.39Comparison Between Two Processes of Hydrolyzing Cellulose ................................ 21 Figure 3. 19Reaction of Glucose with DNS .................................................................................. 23 Figure 3. 29Glucose Concentration versus Absorbance Calibration Curve.The equation of the curve and the R2 value are on the plot. .......................................................................................... 26 Figure 4. 19FPU Determination for Accelerase 1000 ................................................................... 31 Figure 4. 29FPU Determination for Genencor Spezyme ............................................................... 32 Figure 4. 39 Effect of NMMO on Enzymatic Hydrolysis of Filter Paper ..................................... 34 Figure 4. 49Comparison between NMMO medium and Acetate Buffer Medium Using Genencor Spezyme ........................................................................................................................................ 36 Figure 4. 59Comparison between NMMO medium and Acetate Buffer medium using Accelerase 1000 ............................................................................................................................................... 39 Figure 4. 69 Effect of Hydrolyzing Cellulose while it is coming out of Solution ......................... 41 Figure 4. 79 Yield of Reducing Sugars as a function of Time at Different Reaction conditions .. 43 Figure 4. 89 Effect of Temperature at pH 5.7 and 34.9 FPU/g Enzyme Loading ......................... 46 Figure 4. 99Effect if Temperature at pH 5.7 and 122 FPU/g Enzyme Loading ............................ 47 Figure 4. 109 Effect of Temperature at pH 5.7 and 1445.6 FPU/g Enzyme Loading ................... 48 Figure 4. 119Effect of Enzyme Loading at 40C and pH 7.4 ......................................................... 51 Figure 4. 129 Effect of Enzyme Loading at 40C and pH 5.7 ........................................................ 52 Figure 4. 139 Effect of pH at 40C and 122 FPU/g Enzyme Loading ............................................ 55 Figure 4. 149 Effect of pH at 50C and 122 FPU/g Enzyme Loading ............................................ 56 Figure 4. 159Effect of pH at 60C and 122 FPU/g Enzyme Loading ............................................. 57 Figure 4. 169Interaction Between Temperature and pH at 34.9 FPU/g Enzyme Loading ............ 60 Figure 4. 179Interaction Between Temperature and pH at 122 FPU/g Enzyme Loading ............. 61 Figure 4. 189Interaction Between Temperature and pH at 1445.6 FPU/g Enzyme Loading ........ 62 ix ABSTRACT This thesis is focused on the enzymatic hydrolysis of cellulose while it is in an N9 methylmorpholine9 N9Oxide (NMMO)/H20 solution. The reason for using NMMO/H20 solvent is due to the solvent’s utilization in making lyocell fibers, and its ability to pretreat cellulose by breaking down its crystalline structure. This pretreatment leads to an increase in the yield of reducing sugars from the enzymatic hydrolysis. The enzymatic hydrolysis is done in NMMO/H20, so that one step in the pretreatment process, the removal of the pretreated cellulose prior to enzymatic hydrolysis, can be eliminated. This enzymatic hydrolysis was achieved by first dissolving the cellulose in the near monohydrate form of NMMO solution before adding water or 10 % (w/w) acetic acid; together with a diluted cellulase solution. By so doing, the structure of the cellulose substrate is changed, and, the hydrolysis reaction medium is different from the typical 50C and pH 4.8 reaction medium. This reaction medium was investigated at temperatures of 40, 50 and 60C; enzyme loadings of 34.9, 122 and 1445.6 FPU/g; and pH conditions of 5.7 and 7.4. The yield of reducing sugars was lowest at 60C, when compared to other temperatures. For experiments at 40C and 50C, there was an interaction between the effect of temperature and pH. The 7.4 pH systems seemed to favor temperatures of 40C, while the 5.7 pH systems favored temperatures of 50C. Increases in enzyme loading led to an increase in the yield of reducing sugars; however it was observed that the increase in enzyme loading was not proportional to the increase in reducing sugar yields. For this reason, increases in enzyme loading led to a decrease in sugar yield per enzyme loading. The highest cellulose conversion, 92% conversion, was achieved at a temperature of 40C, enzyme loading of 1445.6 FPU/g and a pH of 7.4. x CHAPTER 1 I TRODUCTIO Saccharification of agricultural materials using cellulases is a process which has been studied by many others 1, 5, 8 . The agricultural residues that show potential as biomass for energy are composed of cellulose, hemicelluloses and lignin9. Of these, cellulose has been identified as the principal polysaccharide in plants and the most abundant constituent of lignocelluloses. The degradation of cellulose to soluble sugars requires the cooperative action of a number of enzymes: endoglucanases, exoglucanases and β9glusidases; collectively known as cellulases. The saccharification of lignocelluloses to sugars can be used for the production of organic solvents, organic gases, or single cell protein; and can help solve a major problem facing mankind today: that of energy. The need for alternative energy sources concerns the international community because of an overall increase in pollution rates, and also in the energy demands of developing countries. Fossil fuels, which are presently the major source of energy, are known to produce combustion byproducts that are harmful to the health of living things and the environment, and these fuels are currently being depleted due to increased utilization and the fact that they are non renewable. For these reasons, considerable research is constantly being done in order to find a new energy source that is both reliable and economical. One of these alternatives is the degradation of cellulose to simple sugars also known as saccharification. Saccharification of agro9industrial materials using cellulases is a process which involves the use of enzymes to break down the glycosidic bonds of lignocelluloses. The enzymatic degradation of cellulose requires the action of cellulases and, in most cases, water as a reactant according to the following general mechanism in which glucose is shown as a product of the reaction. Other simple sugars can also result. C6H11O69(C6H10O5)n9C6H11O6+ (n9x) H2O→ (n9x) C6H12O6+ C6H11O6 9 (C6H10O5)x9 C6H11O5 The simple sugars formed from this reaction can be further decomposed into alcohols and gaseous organic compounds, including methane and hydrogen, which can be used to provide electricity. However, the degradation step is critical because cellulose has a highly rigid structure which is very difficult to decompose. In contrast, the research on the hydrogen production from sugars has been carried out for many years. 1 The two approaches to degrading cellulose are: acid hydrolysis and enzymatic hydrolysis. Acid hydrolysis has proved unsuccessful due to high operational cost, while interest in enzymatic hydrolysis is growing due to recent advances in biochemistry, which has greatly reduced the price of enzymes. The three raw materials that are most used for the conversion of biomass to energy byproducts utilizing enzymes are sugars, starch and cellulose. Of these three, cellulose materials represent the most abundant source of biomass (global production is 200×109 tons per year3); however the utilization of the lignocellulosic feedstock is currently impractical due to high costs of transportation, scattered stations, and a slow conversion rate. In order to improve the conversion rate, the pretreatment of the cellulose before enzyme hydrolysis also needs to be taken into consideration. The chemical pretreatment of Lignocellulose is used to improve the accessibility of enzymes to the cellulose molecules. There are various types of chemical pretreatment that can be used to increase the digestibility of the biomass material. For this reason, the most efficient pretreatment method would considerably decrease the amount of time required for the hydrolysis of cellulose to glucose. 1.1 Problem Identification In natural plant materials, the cellulose is bound with lignin and hemicelluloses, and forms a rigid structure which is highly resistant to hydrolysis. In order to extract the cellulose from the raw materials, pretreatment of the cellulose prior to enzymatic hydrolysis is required. This pretreatment is used to decrease the crystallinity of the cellulose molecule, to increase the surface area, and to remove or make the the lignin9hemicelluloses sheath that surrounds the cellulose more penetrable. However, most pretreatment methods which decrease cellulose crystallinity involve the use of extreme temperatures9 (e.g. sub and supercritical H2O), high pressures, 11 or chemical pretreatment using specialized chemicals (ionic liquids12) in order to break down the structure of the cellulose. These methods usually lead to high operating costs, because the pretreated cellulose needs to be extracted before the enzyme hydrolysis, which usually occurs under mild conditions. For example most enzyme reactions usually take place at 50C and in moderately acidic environments (pH of 5). 2 1.2 Project Objectives For the purpose of achieving high cellulose conversion rates and explaining the important factors that affect enzyme hydrolysis, dissolving pulp cellulose, which has minute amounts of lignin and hemicelluloses, was dissolved in N9methylmorpholine9N9Oxide (NMMO) before the addition of known amounts of precipitating solvents, and enzyme dilutions. The precipitating solvents were used to vary the pH of the system, and various enzyme dilutions were used to control the enzyme loading in the system. NMMO was used because it is known to dissolve cellulose by interacting with the hydrogen bonds within the cellulose molecule. Cellulose precipated from NMMO/H20 has a less crystalline structure and is, therefore, more susceptible to enzymatic hydrolysis. When this method is used, the cellulose need not need be extracted from the system before enzyme addition. The key factors that were varied in this study are: temperature, pH and enzyme loadings. These factors were chosen because their effect on enzyme hydrolysis is well documented, and also because NMMO is a highly basic solvent. That is, a low pH requirement may not be economically feasible if it cannot be obtained from the precipitating solvent. Through investigation of how these factors affect the enzymatic hydrolysis of the cellulose, the optimum conditions for enzymatic hydrolysis, using NMMO as the reaction medium, can be obtained. 3 CHAPTER 2 LITERATURE REVIEW 2.1 Introduction For the purpose of decreasing the United States dependency on foreign oil, mandates have been proposed to displace 30% of the nation’s gasoline use by 2030. This proposal would require approximately a billion dry tons of biomass. The key benefits of the proposal is: 1) the reduction of green house emissions, 2) a decreased dependency on foreign oil, which would lead to better national security and 3) the growth of energy supplies and the creation of jobs38. A major barrier to achieving these goals, by using biofuels to displace the gasoline, is the recalcitrance of the cellulosic biomass to enzymatic degradation. This is because most biofuels are produced from the fermentation of reducing sugars by bacteria or fungi. While cellulosic and starch containing crops or materials can be used for the production of sugars, cellulosic materials are usually slowly degraded by enzymatic reactions due their structure. This review discusses the factors that need to be considered for the successful enzymatic degradation of cellulose to sugars. 2.2 Cellulose Cellulose is the major component of cell walls of cellulosic fiber. It is a linear condensation polymer consisting of D9anhydroglucopyranose units, joined together by β91, 49glycosidic bonds. Coupling of adjacent cellulose polymeric units by hydrogen bonds and van der Waal’s forces, results in a parallel alignment that leads to a highly crystalline structure which is resistant to decomposition. That is, these hydrogen bonds inhibit the cellulose structure from being broken by water, or mild chemicals, and make it resistant to enzymatic decomposition17. The degree of polymerization (DP) of cellulose, refers to the number of anhydroglucopyranose units (glucose units) linked together by the glycosidic bonds, and the DP differs according to the type and origination of the cellulosic material. In native, cellulose up to 10000 β9anhydroglucose residues can be linked to the long chain molecule 17. Native cellulose, which is also referred to as cellulose I, has two distinct crystallite forms which can be converted to other forms of cellulose by using various treatment methods. Various pretreatment methods are used to break down the hydrogen bonds that give cellulose its structural stability. Usually, all chemical reactions take place at the glucosidic linkage and 4 hydroxyl groups of the cellulose molecule. In order to increase the access of enzymes to these places, the chemical or physical features of the cellulose molecule needs to be changed. The physical features that affect the cellulose digestibility are surface area, crystallinity, degree of polymerization, pore volume and particle size. Table 2.1 summarizes how these properties affect the digestibility of the enzyme. A positive effect means an increase in that property leads to an increase in enzyme digestibility while a negative effect means a decrease in that property leads to an increase in enzyme digestibility. As can be seen from the table some properties have no substantial effect on the digestibility of the cellulose by the enzyme (no correlation). Table 2. 1+ Relationship Between Structural Feature and Enzyme Digestibility1 Structural Features Relationship between structural feature and digestibility Physical Surface Area Crystallinity Degree of Polymerization Pore volume Particle size Positive Negative/No correlation Negative/No correlation Positive No correlation Lignin Hemicellulose Acetyl Group Negative Negative Negative Chemical 2.3 Glucose The basic unit of cellulose, as well as starch and glycogen, is glucose. It is the most common organic group in nature, and is one of the main energy sources for plants and animals. Other facts of glucose are as follows: it has the molecular formula C6H12O6 it is a monosaccharide, since it’s made up of one unit two glucose units linked together is called a dissacharide; three glucose units linked together is called a trisaccharide, three to ten glucose units are sometimes referred to as an oligosaccharide very large number of units can be linked to form a polysaccharide its carbon atoms are easily oxidized to form carbon dioxide, and energy is released in the process 5 it is highly soluble in water due to its numerous hydroxyl groups (hydrogen bonds are easily formed with water molecules) Of the 16 stereoisomers of glucose there are three most often considered structural isomers: D9glucose from starch, D9galactose, a sugar in milk, and fructose, a sugar found in honey For these reasons many polysaccharides made up of glucose subunits are usually used for sources of food or sources of energy. The differences between polysaccharides made up of glucose subunits are the linkages which join the glucose molecule together and the cyclical form. The linkages affect the ease at which glucose can be retrieved from the polysaccharide. For example, the body of human beings has the ability to easily break down starch (carbohydrates) but cannot break down Cellulose, which is easily broken down by sheep or other ruminants. Below is a diagram of the glucose chain and various polysaccharides. Glucose units in cellulose are linked together by β91, 4 linkages, while units in the natural starch (amylose) are linked together by α91, 4 linkages. Amylopectin is another type of glucose polysaccharide which consists of several amylose chains joined together by α91, 6 linkage 6 Ring form of Glucose Cellulose Amylose Figure 2. 1+ Diagram of Glucose, Cellulose and Amylose 2.4 Cellulose Hydrolysis Cellulose hydrolysis can be defined as the degradation of cellulose to glucose or other simple sugars, in order to utilize the sugars produced, for the production of energy. Each cellulose molecule is a straight chain consisting of 1000 to 1 million D9glucose units, linked by β91, 4 glycosidic bonds. It is a structural molecule for plants and this makes it resistant to degradation. Cellulose from various biomass sources differ in crystalline structures and in their binding to other components. The cellulose present in lignocelluloses is composed of two components: crystalline and amorphous, and, the amorphous component degrades more easily than the crystalline component. The lignin in lignocelluloses forms a barrier which inhibits cellulose from degradation by either enzyme or acid. For this reason, pretreatment of the cellulose by the removal of lignin leads to an increase in the accessibility of cellulose molecules and increases the 7 degradation rate. The two methods of hydrolyzing the cellulose are: the Acid Hydrolysis Method and the Enzymatic Hydrolysis method. 2.4.1 Acid Hydrolysis Method The hydrolysis of biomass by dilute acid was the first technology used for the conversion of biomass to ethanol: with the first commercial process being built in Germany in 1898. However, this process was considered to be uneconomical in the 1980’s after it was attempted by the U.S. during the Second World War30. The acid hydrolysis process is a process, which uses acid to change the molecular structure of cellulose thereby reducing its degree of polymerization. The two major types of acid hydrolysis process are: diluted and concentrated acid hydrolysis24. The dilute acid process involves the contact of cellulosic materials with dilute acid. This leads to the formation of hydrocellulose, then the formation of soluble polysaccharides before the formation of simple sugars. This process is conducted at a high temperature and pressure; and is usually completed within a few minutes. An advantage of the dilute acid process is its ability to convert biomass to sugars within minutes and achieve a sugar recovery of approximately 80%, while the disadvantages are: the high temperature and pressure required; the requirement of expensive materials for the process and; the neutralization of the acid before the sugar recovery31. The concentrated acid process is a process that can utilize a low temperature and low pressure for the degradation of cellulose materials to simple sugars. The process has a sugar recovery of 90% for both hemicellulose and cellulose sugars, however, in comparison to the dilute acid system, at low temperatures, it is a slow process and the cost of acid recovery systems is high. The acid recovery system is important because neutralization of the acid would lead to large sugar deposits, which can increase the cost of the process due to disposal requirements24. The products that are produced by the acid hydrolysis of cellulose are: sugars, furfurals and organic acids. The major sugars produced by the process are xylose, glucose and cellobiose; the furfurals produced are fufuraldehyde and hydroxylmethyl furfural; while the organic acids produced are levulinic acid, formic acid and acetic acid. In general the hydrolysis of natural 8 cellulose sources by acids leads to the formation of many by9products, which makes it difficult to produce pure sugars and limits the viability of the acid hydrolysis process. 2.4.2 Enzymatic Hydrolysis Method Since a cellulose molecule consists of a long chain of β91→4 glycosidic linkages, the enzyme complex which is capable of breaking down the glycosidic linkages consists of three main groups of enzymes. These are: endo9β9glucanase, exo9β9glucanase and β9glucosidase, collectively known as cellulases. The ease at which the cellulases are able to break down the cellulose depends on the cellulose structure or configuration. There are basically two types of cellulose structures: crystalline and amorphous. The amorphous structure of cellulose has a more random structure and is therefore more easily degradable by the cellulases. Because natural cellulose sources (i.e. lignocelluloses) contains lignin compounds, which pose as an obstacle to enzymatic hydrolysis of cellulose, and generally consist of the crystalline form of cellulose, the susceptibility of the cellulose to cellulases needs to be improved before the enzymatic hydrolysis of cellulose. For these reasons, pre9treatment processes that can remove lignin and hemicelluloses, and change the crystalline structure of cellulose to an amorphous structure, are often essential prior to the enzymatic hydrolysis of cellulose7, 18. 2.5 Pretreatment Processes The type of process used to pre9treat biomass materials ultimately depends on the particular biomass because different biomass materials have different compositions of lignin, hemicelluloses and cellulose. In general the pre9treatment processes, that have been used, can be classified into four main categories: physical, physico9chemical, chemical and biological pre9 treatments. One or more combinations of these pre9treatment options can be used to pre9treat a particular type of biomass. The pre9treatment processes used, should: improve the formation of sugars or the ability to form sugars; reduce or avoid the degradation of carbohydrate; prevent the formation of byproducts during the hydrolysis process and; be economical and cost effective24, 26. The main purpose of the physical pretreatment is to physically break down the lignocellulosic biomass into particles that can be easily hydrolyzed by acidic or enzymatic hydrolysis. For this reason most physical pretreatment methods are energy intensive. Examples of these are: 9 pyrolysis, milling of the biomass material, radiation, freezing, and mechanical comminution. The crystallinity and the degree of polymerization of the cellulose are reduced after these processes24. In Physico9chemical pre9treatment the biomass is treated with high pressure for a certain time period, and then the pressure is reduced swiftly. With this treatment the biomass material undergoes a rapid decompression which exposes the internal surface area to enzymatic hydrolysis. The main types of physico9chemical pretreatment includes: steam explosion, ammonia fiber explosion and CO2 explosion. Some of these pre9treatment require the biomass to be first chipped into small sizes before it undergoes pre9treatment 24, 28. The chemical pretreatment method utilizes a solvent to dissolve the crystalline structure of the cellulosic material. Various chemicals have been utilized for this pre9treatment. The overall effect, of the pre9treatment on the biomass depends on the chemical that is used. Alkalis, acids, ozone, hydrogen peroxide, mixtures of organic solvents with inorganic acid catalysts (organosolv) and, more recently cellulose ionic solvents have been employed in the pre9 treatment of biomass. Ozone has been used to degrade lignin and hemicellulose in the biomass material, and the pre9treatment process can be carried out at room temperature. However a large amount of ozone is required for the process to be effective. The oxidative delignification or the use of hydrogen peroxide is able also remove the lignin and hemicelluloses from the biomass material 24, 26, 28 . However at low temperatures (~30C) longer times are required for the process to be effective while at high temperatures (~170C) the pre9treatment can be completed within 59 10 minutes. The Alkaline treatment of the biomass causes structure swelling that is able to increase the internal surface area, and decrease the degree of polymerization 25, 27 . This pre9 treatment is also able to disrupt the lignin structure and separate the linkages between lignins and cellulose/hemicelluloses. Acids, such as dilute H2SO4 and HCl, serve as catalysts for the hydrolysis of cellulose rather than as a reagent for pretreatment, however this pre9treatment process requires reactors that are resistant to corrosion due to the corrosive nature of the solvents. Cellulose solvents such as NMMO, 19Butyl939methylimidazolium Chloride, 19ethyl939 methylimidazolium acetate, Cadoxen (a complex compound of cadmium and ethylene diamine), etc can swell and transform solid cellulose into a soluble state, thus enhancing hydrolysis process although some of these solvents are toxic and expensive, a few of these solvents are not toxic, have a low vapor pressure, and can be easily recovered prior to cellulose hydrolysis 12, 25, 29. 10 Biological pre9treatment uses micro9organisms, such as brown9, white9, and soft9rot fungi to solubilize lignin and hemicelluloses, and soften cellulose material, which leads to easier access for the cellulases. These processes require less energy, but also proceed very slowly26. 2.6 Enzymatic Hydrolysis of Cellulose The enzymatic hydrolysis of cellulose consists of two main steps: the hydrolysis of cellulose into cellobiose by endo9β9glucanases and exo9glucananases, and the conversion of cellobiose to glucose by β9glucosidase. The most studied enzyme complex used for degrading cellulose is derived from the Trichoderma Reesei fungi. This enzyme complex consists of the three main groups of enzymes used to degrade cellulose: endo9β9glucanase, exo9β9glucanase and β9 glucosidase, collectively known as cellulases. These are all required to hydrolyze cellulose efficiently. The process occurs as follows: the cellulase binds to cellulose to form a thermodynamically favorable complex, which stabilizes the protein on the cellulose and limits the enzyme’s penetration into the fibrils of the cellulose; an increase in mechanical pressure due to the presence of these enzyme molecules is exerted on the cavity walls of the cellulose molecule; the cellulose structure swells; water gets accommodated within the cellulose molecule; this leads to the breaking of the hydrogen bonds, the dissociation of the microfibrils and, the formation glucose15. Based on this process, reviews on cellulose hydrolysis have classified the factors that need to be considered in order to understand the enzymatic hydrolysis of cellulose into five. These are: 1) understanding of the cellulase system, 2) understanding the lignocellulosic substrate, 3) understanding the enzyme9substrate interaction 4) understanding the inhibition or deactivation of the enzyme. 2.6.1 Understanding the Cellulase System The most studied cellulase systems were secreted from and organisms due to the high levels of cellulase that are secreted from these organisms, although, there are other organisms which are capable of secreting cellulases. The nature of these cellulases determines the mode of action, the activity of the components, and the inhibitory 11 effects of products or intermediates. The cellulase consists of: two cellobiohydrolases, five endoglucanases, β9glucosidases and hemicellulases. For the hydrolysis of cellulose, the cellobiohydrolases are known to remove glucose units from the non9reducing end of the cellulose; endoglucanase hydrolyzes bonds of the cellulose in random action; while β9 glucosidase hydrolyzes the soluble sugars (cellobiose) that are released by the cellobiohydrolases and endoglucanases. The efficiency of the hydrolysis depends on the presence of the cellulase components and their corresponding ratios because these enzymes are known synergistically hydrolyze the cellulose7, 10, 18. During the modeling of cellulose hydrolysis, some investigators use a combined catalytic activity to describe how the enzyme hydrolyzes the cellulose, however the more recent models, which have been used to describe the process, separate the enzyme components into three: endoglucanase, exoglucanase and β9glucosidaase. 2.6.2 Understanding the Lignocellulosic Substrate Majority of the cellulose that exists can be found in lignocellulosic biomass. Examples of lignocellulosic biomass materials are woods, grasses and cellulose wastes (like papers, leaves, tree barks etc). These materials differ in property, but they all have a relatively similar composition, which consists of cellulose, hemicelluloses and lignin and are usually termed Lignocelluloses. The major component of these materials is usually cellulose and it accounts for 40950% of the material weight, hemicellulose constitutes of about 20940% of the material, and the remaining component is lignin. Cellulose and hemicelluloses form the main structure, while lignin acts as a joining material and binds the fibers together. Lignin and hemicelluloses also play a role in structural stabilization of the lignocellulose material; they make cellulose resistant to decay and insect attack, however, lignin also prevents cellulosic materials from enzymatic hydrolysis of glucose and other simple sugars. Figure 2.2 describes how these materials are arranged with respect to one another. 12 Figure 2. 2+Lignocelluloses organization into elementary fibrils and microfibrils7 2.6.3 Understanding the Enzyme+Substrate Interaction The interaction of the enzymes and the substrate is dependent on an adsorption process and it is very rapid in comparison to the time required for hydrolysis. For this reason the incorporation of the adsorption into models, has been ignored by some researchers and Michelis9Menten model is usually used to describe the enzymatic hydrolysis, although this approach may not be applicable at high substrate concentrations. The cellulase adsorption and desorption on the cellulose surface has been described as irreversible, semi9reversible and reversible. It has been suggested that cellulase adsorbs onto surface of cellulose and performs catalytic actions while moving along substrate, while it has also been suggested that enzyme adsorbs, desorbs and then readsorbs depending on its catalytic action 10 . The Langmuir isotherm, derived on the basis that the adsorption process can be described by one adsorption equilibrium constant, is usually used to model the adsorption process. Due to the simplicity of this assumption, some researchers have used dynamic models and empirical models, e.g. Freudlich 9 Langmuir isotherms, to also describe the adsorption process5, 32 . It has been observed that the adsorption process is independent of pH, but strongly dependent on temperature18. Mass transfer resistances, which are usually ignored during the modeling of cellulose hydrolysis, are also known to affect the adsorption process. The three key resistances are: 1) the external mass transfer resistance through the stagnant film layer, 2) the rate of enzyme adsorption on the solid substrate, and 3) the rate of cellulose catalysis. The continued hydrolysis 13 of the substrate depends on the enzyme’s penetration through the fibrils and the diffusion of the enzymes10. 2.6.4 Understanding the Inhibition or Deactivation of the Enzyme Enzyme activity is affected by product inhibition and deactivation of the enzyme either by environmental conditions or mass transfer constraints. Cellulase enzymes are susceptible to deactivation when exposed to fluid shear stress, due to turbulence, in the reaction zone. Kastelyanos et al found that glucose inhibited cellobiase, while cellobiose inhibited endoglucase and exoglucanase was not inhibited33. Severe inhibition was observed by cellobiose and mild inhibition was observed by glucose. Cellulolytic enzymes are inhibited by cellobiose and glucose. Some models assumed competitive inhibition while others assumed non9competitive inhibition. Some researchers have argued competitive inhibition while others argued non9 competitive inhibition (some said both). It has also been reported that glucose inhibits hydrolysis of cellulase by T. viride 10 . Degree of deactivation is more serious at air9liquid interface. Reese and Ryu suggest that enzyme deactivation was caused by unfolding of protein molecules at gas9 liquid interface. The temperature and pH also deactivate the enzyme. 2.6.5 Description of the Cellulose Hydrolysis Kinetics Inorder to describe the kinetics of cellulose hydrolysis, Michaelis9Menten types of rate expressions with substrate or product inhibition terms have been used. The inhibition terms were added because experimental studies20 have shown that the enzymatic hydrolysis is affected by the cellobiose and glucose products. A combination of enzyme adsorption and kinetic rate models have been proposed based on Michaelis9Menten kinetics. One of the more recent hydrolysis models proposed by Q Gan et al10 used Michelis9Menten kinetics to estimate the glucose yield. The model was used to understand the effect of active and inactive cellulose particles and, the effect of shear deactivation on cellulose hydrolysis. The concentration of active substrate, at the water9cellulose9enzyme reaction interface was modeled to change as the reaction progressed. The key assumptions made were: the cellulases had a combined catalytic function; the cellulosic material was composed of two fractions9 a region easily hydrolyzed by enzymes and a region that was inert to hydrolysis; the substrate concentration was based on the surface concentration of hydrolysable cellulose and not the total concentration of cellulose; new 14 cellulose and inert substrates emerged from the inner region of substrate solids after the dissolution of the first layer; there was a gradual decrease in the quality of the reaction interface; the sugars produced from the enzyme inhibit the enzymes activity and; the deactivation of the enzyme is related to the shear field residence time. The results showed that binding of the enzyme to inert regions plays an important role in the continuous reduction of the reaction rate. It was observed that: the initial surface concentration accessible to enzyme binding and catalysis was 2% of the total substrate mass stock inserted in the system; a small proportion of soluble enzymes retained their original catalytic power and; the substrate particle size had a strong influence on the initial rate of enzyme hydrolysis. However the effect of shear field on the kinetic model and experimental results were virtually insignificant. In comparison to older models that had been used to predict glucose yield, three new parameters were added and evaluated. These were: the cellulose accessibility coefficient, surface active cellulose concentration coefficient and the relative shear field residence time. Converse et al21 used two models to elucidate the factors which affect the enzymatic hydrolysis. Although both models were based on Michaelis9Menten kinetics, the assumptions made in acquiring the models were very different. The first model was based on the inactivation of the enzyme by products, while the second model was based on mass transfer resistances within the cellulose fibril. The key assumptions made by the inactivation model were: 1) the enzyme may be inactivated by inactive substrate,2) the rate of hydrolysis was proportional to concentration of active adsorbed enzyme, 3) Product inhibition is assumed to be in equilibrium to yield and 4) the desorption and adsorption process was pseudo9steady state. In the mass transfer model, it was assumed that, 1) the rate of formation of adsorbed but inactive enzyme is proportional to the enzyme in solution 2) the steric factors of the enzyme and cellulose, hindered the synergy between the components of all the enzyme in the fibril. Therefore, enzyme in the fibril is deactivated 3) there was equilibrium between the enzyme in solution, enzyme9product complex and the product and 4) the enzyme had four components9 active enzyme adsorbed by the cellulose, enzyme in solution within the cellulose fibril, enzyme9product complex within the fibril, enzyme adsorbed on the inactive cellulose within the fibril. The key difference between both models is that in the inactivation model, the rate of formation of deactivated enzyme 15 depends on concentration of adsorbed enzyme, while in second model it depends on concentration of free enzyme in solution. The model was applied to a 10 fold range of substrate concentrations and the result showed that both models predicted the glucose yield successfully, however, the mass transfer model provided a better representation of adsorbed enzyme activity. Although it was assumed that the adsorption sites on the cellulose molecule is proportional to square of substrate concentration in both models, from the results it seems that the deactivation of the enzymes is dependent on the concentration of free enzyme in solution. Table 2.2 shows a list key assumptions and conclusions from various authors that have modeled the cellulose hydrolysis process. 16 Table 2.2+List of Assumptions from Authors that have modeled the Hydrolysis Process Conclusions Author Key Assumptions Movargenejad et Transfer of enzyme from solution Mean absolute deviation al19 bulk to cellulose surface is rapid in of 6% was observed comparison to rate of reaction The limit of the reaction Only adsorbed enzymes hydrolyze was the cellulose model well predicted by occurs; Initial rates of reaction enzymes adsorb solely at the was under estimated by cellulose external surface model No internal Cellulose diffusion sites available for Some discrepancies were enzyme is proportional to surface observed between area of cellulose particle experimental results and Activity of enzyme adsorbed at those determined from cellulose surface decreases with model time Inhibition by products occur during the reaction cellulose particles shrink during reaction Liao et al5 Enzyme first adsorbed by different Model components predict adsorption and (cellulose, was able to hemicellulose and lignin) hydrolysis data at high Two types of bonding sites on substrate concentrations( cellulose9 active and inactive 50g/L) Enzymes on active sites produce Use of enzyme activity sugars instead Glucose was assumed to be the concentration effectively only inhibitor of hydrolysis. predicted the adsorption Enzymatic hydrolysis divided into and hydrolysis of the 17 of enzyme Table 2. 2 continued Author Conclusions Key Assumptions two parts: adsorption sample and Langmuir adsorption was hydrolysis Langmuir isotherms used to significantly changed describe the enzyme adsorption during hydrolysis for 5 Competitive model of glucose samples inhibition was used to simulate hydrolysis reactions 3 major enzymes in conversion of An empirical equation cellulose to glucose: exoglucanase, was used to describe endoglucanase and β9glucosidase change Competitive enzymatic hydrolysis constant of adsorption is first order reaction on cellulose surface Structure of fiber matrix is uniform in terms of enzyme adsorption Lignin and hemicellulose only influence enzyme adsorption Effect of different concentrations substrate and structure difference were negligible Available cellulose is related to ratio of remained cellulose to initial total cellulose Shen et al22 - Cellulase enzyme is assumed to - parameter model have a single combined effect in developed could describe the a wide range of sugar hydrolysis of insoluble substrate - Two concentration with time Surface and structure of insoluble fiber are homogeneous and there is 18 - Model was successfully used to fit experimental Table 2. 2 continued Author Conclusions Key Assumptions no distinction between amorphous - and crystalline regions - - data of cotton gin waste Highest yield of reducing Enzyme deactivation is assumed to sugars were obtained at be a second order reaction lowest Adsorption of free enzyme in concentrations initial enzyme suspension is based on Langmuir isotherm adsorption - Quasisteady state is assumed for the formation of enzyme9substrate complex - Enzyme deactivation by insoluble substrate is independent of hydrolysis rate - Diffusivity of enzyme on insoluble substrate was estimated from Fick’s second law The major researches that have been done in the area of cellulose hydrolysis are generally focused on two areas: improving the conversion rate of cellulose hydrolysis and understanding the kinetics of the conversion process. In order to improve the conversion rate, the key aspects of the hydrolysis process that have been used to optimize the rate are: 1) increasing the susceptibility of the substrate to enzyme decomposition; 2) varying the composition of the enzyme components; and 3) changing the system properties. In order to understand the kinetic processes the intricate details that need to be considered are: 1) the nature of the enzyme, 2) the physical structure of the cellulosic material, 3) the substrate enzyme interactions, and the 4) enzyme inhibition and deactivation during the hydrolysis. Kinetic models have shown that the rate and extent of cellulose hydrolysis by cellulase enzymes is influenced by a variety of substrate and enzyme factors. The overall reaction rate is 19 affected by mass transfer resistances, which includes the film resistance around cellulose particles, the bulk phase resistance, and the resistance through the capillary of cellulose particles. Reaction conditions also influence the hydrolysis rate. Therefore conditions that have been used to improve the conversion rates are: the concentration and susceptibility of the cellulose particles, the enzyme concentration, the pH of the medium, the agitation intensity and the temperature. The optimal conditions for the hydrolysis is dependent upon the origination of the cellulose, the ratio of the enzyme groups in the enzyme complex, and where the enzyme was extracted from. The lignin content also acts as a barrier to the enzymes. However it was observed by Kaya et al that the addition of dissolved lignin improved the enzymatic reaction. The reasoning given for this occurrence was that the enzymes which bind to the lignin in solution were sustained by the lignin and were able to hydrolyze the adjacent cellulose easily. 2.7 The Purpose of this Research In our research we are trying to improve the conversion rate, of cellulose hydrolysis to sugars, by changing the structure of the substrate and the reaction medium. The structure of the crystalline cellulose material is changed to an amorphous structure by first dissolving the cellulose in the monohydrate form of N9methylmorpholine9N9Oxide (NMMO) and then precipitating it from the solution by adding water to the reaction medium. Studies4, 41 have shown that the hydrolysis of the amorphous cellulose structure obtained from this precipitation increased the conversion rate by a factor of three when compared to the hydrolysis of the crystalline cellulose structure. Another reason why NMMO/H20 is used as the reaction medium is due to its commercial utilization by the lyocell process. The lyocell process uses NMMO/H20/Cellulose mixture (lyocell solution) to manufacture cellulose fibers which are used for manufacturing cloth materials. For this reason, the rheological properties of NMMO/water/cellulose solutions is well documented42,43 and therefore the commercialization of a cellulose hydrolysis process using NMMO as the reaction medium can be easily achieved . Figure 2.3 describes how this approach differs from previous methods used to convert biomass to sugars. Typically the cellulases used for the conversion of biomass to sugars require a slightly acidic reaction medium (pH 5) and a temperature of 50C. For this reason, previous methods of converting biomass to sugars require the pretreatment of the biomass using the 20 methods previously described, before separating and hydrolyzing the pretreated biomass to sugars in a reaction medium suitable for the cellulases. Therefore by using NMMO/H2O reaction medium, the need to separate the pretreated biomass would not be required, and a higher yield of sugars can be easily achieved. Pretreatment of Cellulose in solvent Pretreatment/dissolution of cellulose in NMMO/H20 Regeneration of cellulose and separation of solvent is required Hydrolysis of cellulose to simple sugars at 50C and pH 4.8 Adjustment of pH using acetic acid or deionized water and hydrolysis to sugars Figure 2.3+Comparison Between Two Processes of Hydrolyzing Cellulose Comparison between Previous methods of Hydrolyzing cellulose and the Hydrolysis of cellulose in a NMMO/H2O reaction medium 21 CHAPTER 3 EXPERIME TAL METHODOLOGY 3.1 Introduction For the conversion of biomass to energy by9products, the hydrolysis of cellulose to glucose, or cellulose to reducing sugars, is the process that consumes the majority of the cost. The sugars produced can be used to produce hydrogen using hydrogenase bacteria. In this research, we are trying to improve the conversion rate of the hydrolysis by; changing the structure of the substrate and the reaction medium. 3.2: Estimation of Reducing Sugars by D S Method The concentration of reducing sugars in a sample was estimated by diluting 0.2 mL of the sample’s supernatant ( the sample was first centrifuged) to 1mL using distilled water9 in a test tube9 and then adding adding 3mL dinitrosalicylic acid (DNS) reagent. The test tube was inserted in a 100ºC water bath for 10 minutes, and then inserted into an ice water bath in order for the reaction to stop, and to stabilize the color, which is temperature sensitive. Two mL deionized water was added to the test tube and the absorbance of the sample at wavelenght 540nm was acquired using a spectrophotometer. The spectrophotometer used was Lambda 25 UV/Vis Spectrometer and the cuvettes used were Quartz spectrophotometer cell (Starna cells, Catalog no. 19Q910). 3.2.1 – Theory Behind the D S Method The DNS method for estimating the concentration of reducing sugars in a sample was originally invented by G. Miller34 in 1959. Figure 3.1 shows an example of the chemical reaction that occurs during the DNS assay, in this case, glucose is used as the reducing sugar. A reducing sugar is one that in a basic solution forms an aldehyde or ketone. The aldehyde group of glucose converts DNS to 39amino959nitrosalicylic acid,which is the reduced form of DNS). The amount of 39amino959nitrosalicylic acid is proportional to the amount of glucose. Water is used up as a reactant and oxygen gas is released during the reaction. 22 O O OH O OH O N + N O HO + OH OH OH + O OH + O N HO + OH + H2O HO O OH OH + NH 2 O O2 O HO HO OH Figure 3. 1+Reaction of Glucose with D S The formation of 39amino959nitrosalicylic acid results in a change in the amount of light absorbed, at wavelenght 540 nm. The absorbance measured using a spectrophotometer is directly proportional to the amount of reducing sugar. For this reason, a calibration curve of absorbance vs concentration can be developed by measuring the absorbance of known concentrations of glucose, and the equation of the calibration curve can be used to calculate the unknown concentrations corresponding to their absorbance. D9(+) Glucose obtained from Sigma Aldrich was used for the calibration. A reducing sugar is any sugar that forms aldehyde or ketones in a basic solution. Sugars containing acetal or ketal linkages are not reducing sugars, while all monosacharides and some dissacharides e.g. cellobiose are reducing sugars. 3.2.2 – Preparation of D S Reagent Five hundred mL of 2% DNS solution was prepared by adding 10.0g of DNS acid powder to 500mL deionized water, and then mixing the solution with 100mL of 10.67 w/v % sodium hydroxide solution. The solution was inserted into a 45C water bath until the contents were fully dissolved; 300g of potassium sodium tartarate salt was then added with continuos mixing. Deionized water was used to bring the total volume of the solution to 1L. The solution was kept in an amber bottle due to the light sensitivity of the DNS solution. The 10.67w/v % sodium hydroxide solution was prepared by dissolving 16g NaOH pellets (Obtained from Fisher Scientific chemicals 98.5% Purity, Lot no. 033972) to 150 mL distilled 23 water, and the 2% DNS solution was prepared by adding 10g of DNS ( obtained from Alfa Aesar Chemicals, 97% Purity) to 500mL distilled water. 3.2.3 – Determination of Absorbance Vs Concentration Calibration Points Twenty standard glucose solutions (as given in Table 1), with concentration of 0.1mg/mL , to 3.0mg/mL were made by diluting 3mg/mL solution with the appropriate amount of deionized water. 1mL of each solution was placed in a test tube before the addition of 3mL of DNS reagent into each test tube. The samples were inserted in a 100C water bath for 10 minutes. The test tubes were then inserted into an ice water bath, 2mL deionized water was added to each test tube, and the absorbance at 540nm was measured with a spectrophotometer. The absorbance value of the 20 standard solutions was used to develop the calibration curve, and the equation of absorbance vs. concentration was obtained. The values of the absorbance at each concentration is given in Table 3.1. Figure 3.2 is a plot of absorbance vs concentration for the glucose solution and the curve fit developed from this figure is used for calculating the unknown glucose concentrations. 24 Table 3. 1+Glucose Concentration versus Absorbance Data Glucose Concentration (mg/mL) Absorbance 0.1 0.0913 0.2 0.2065 0.3 0.3244 0.4 0.4423 0.5 0.5688 0.6 0.6872 0.7 0.7970 0.8 0.9288 0.9 1.0470 1.0 1.1835 1.2 1.4334 1.4 1.7038 1.6 1.9605 1.8 2.2262 2.0 2.4791 2.2 2.7179 2.4 2.9654 2.6 3.1985 2.8 3.3785 3.0 3.5813 25 4 2 y = 0.0441 + 1.23786x R = 0.99919 3.5 Absorbance 3 2.5 2 1.5 1 0.5 0 0 0.5 1 1.5 2 2.5 3 3.5 Glucose Concentration (mg/ml) Figure 3. 2+Glucose Concentration versus Absorbance Calibration Curve The equation of the curve and the R2 value are on the plot. 3.3: Estimation of Enzyme Activity by the Filter Paper Unit (FPU) Method In order to estimate the filter paper activity of the enzyme, the enzyme was first diluted with acetate buffer; 1 mL of the diluted enzyme, together with 1mL acetate buffer was added to 0.05g Whatman filter paper, which had already been inserted in different test tubes. The acetate buffer was prepared by mixing 2.95mL glacial acetic acid with 900mL deionized water, and then adding drops of 50% NaOH solution till the pH of the buffer was 4.8. The test tubes were inserted in an incubator with the temperature set to 50ºC. A set of test tubes were also used as control test tubes, that is, they contained the same quantities of acetate buffer and enzymes, but 26 had no filter paper. This was done in order to subtract any sugars that may have been dissolved in the enzyme sample before estimating the concentration of sugars yielded by the enzyme. At specific times, a test tube was removed and inserted into a boiling water bath for 5 minutes in order to deactivate the enzyme. The amount of sugars released by the enzyme was estimated using the DNS test. The FPU was then calculated using the following equation: / = (( 1ℎ ∗ )/ ( 0.18016 ∗ 60 )∗ ) The FPU is defined as the enzyme that releases 1 µmol of glucose equivalents per minute from a Whatman No. 1 filter paper. 3.4: Preparation of MMO.x H20 A round bottom flask with a lid was filled with approximately 500g of 50% NMMO solution. The NMMO solution was obtained from Sigma Aldrich Co. The flask was connected to a rotovaporator that was capable of rotating the flask under vacuum, and the flask was inserted in an 85C water bath. The sample was heated under vacuum, till the amount of water in the sample was approximately 17%. This was determined gravimetrically since the melting point of anhydrous NMMO is 184ºC and since it has a negligible vapor pressure; therefore it was assumed that only the water in the sample evaporated. Propyl gallate, which is usually added to NMMO to prevent cellulose from degrading, was not added in this case, in order to avoid any complication it may have with the enzymatic hydrolysis. Due to the slightly dark color of the 83% NMMO, some decomposition of the NMMO may have occurred. The sample was then separated into 2 jars: Jar A and Jar B. Cellulose was dissolved in Jar A as described in the following section, while Jar B which contains 83% NMMO and 17% H2O was separated into 20 mL Vials. Each vial contained approximately 5g of the sample. The vials were closed with a screw cap and stored in a desiccator till the start of the enzymatic hydrolysis. These vials were used as enzyme blanks in order to ensure that the enzyme effect on the 83% NMMO was taken into account before estimating the yield of sugars in the reaction sample. 27 3.5: Preparation of 1% Cellulose Solutions Dissolving cellulose pulp obtained from Buckeye Technology was first ground, using a Black and Decker coffee grinder, till the cellulose had a fluffy texture. The cellulose was added to Jar A (described in the previous section). The jar was inserted into an 85C water bath and the solution was stirred using a mixer (manufactured by Arrow Engineering Co., serial number C0795134) for approximately 20 minutes or until a homogeneous lyocell solution was observed. While the cellulose was dissolving into the NMMO solvent, it was essential to wrap the jar with aluminum foil to avoid water from entering the NMMO since it is a hygroscopic solvent and can easily absorb water. The amount of cellulose added was 1 w/w% of the total mixture. Five grams of this solution (also known as 1% lyocell solution) was pipetted into 20 mL vials and stored in a desiccator at room temperature till the start of the enzymatic hydrolysis. 3.6: Protocol for enzyme reactions The contents of the enzymatic reaction vessel was prepared by adding 5.8mL deionized water or 10% acetic acid solution (depending on desired pH), into 5g 1% lycocell solution stored in 20mL vials. For subsequent tests on the room temperature stored samples, the 5g lyocell solution was first inserted in a 85ºC water bath for 10 minutes inorder to melt the solution (the solution is solid at room temperature). The total solution pH when deionized water was used as the buffering medium was 7.4, while the solution pH when 10% acetic acid was used as the buffering medium was 5.7. Phase separation was observed after the buffers were added. Figure 2 shows a picture of the regenerated cellulose slowly coming out of the 1% lyocell solution. After the addition of deionized water, the sample and the diluted enzyme solution was equilibrated at the desired reaction temperature for approximately 10 minutes before starting the reaction, 6.44mL of enzyme solution was then added to the vial and the vial was shaken vigorously before being inserted into a temperature controlled shaker bath( Precision temperature controlled shaker bath Cat No. 51221076) . Enzyme concentrations of 34.9 FPU/g, 122 FPU/g and 1445.6FPU/g were used inorder to see the effect of enzyme concentration on the rate of hydrolysis. The temperatures used for the reaction were 40C, 50C and 60C. Unless otherwise mentioned, all samples were run in duplicates or triplicates. At specific times during the enzymatic hydrolysis, 0.5mL aliquots of the reaction content was retrieved. The retrieved samples were inserted in a vial, which was subsequently inserted 28 into a boiling water bath for 5 minutes, in order to deactivate the enzymes. The samples were then centrifuged for 3 minutes at 9500 rpm. Two tenth mL of the supernatant was transferred to a test tube, and distilled water was added to increase the liquid level to 1mL, the concentration of glucose in the solution was then determined using the DNS assay procedure. 29 CHAPTER 4 RESULTS 4.1 Enzyme Activity /FPU Determination of Accelerase™1000 and Spezyme® Cellulase For the estimation of the filter paper activity of the cellulase, low concentrations of the cellulase were used for the hydrolysis of filter paper. This was necessary in order to ensure that the substrate is in excess in comparison to the enzyme, so that the rate at which the enzyme binds is the rate limiting step. Figure 4.1 and 4.2 shows the yield of reducing sugars with time for the 2 cellulases used in this project: Genecor Spezyme® and Accelerase™1000. The cellulases were diluted to approximately 200 and 400 parts by weight. Accelerase™1000 cellulase of mass 0.0528g was diluted with 20.14g acetate buffer of pH 4.8, to acquire a dilution factor of 382, while 0.1085 g of the same cellulase was diluted with 20.224 g acetate buffer to acquire a dilution factor of 187. Similarly, Genecor Spezyme® cellulase was diluted to 176 and 382 parts (all dilutions had a pH of ~4.8). After using equation 3.2 to estimate the filter paper activity at each dilution factor, the filter paper activity for Accelerase™1000 was determined to be 61 FPU/mL and 51FPU/mL for dilution factors of 382 and 187 respectively, while the filter paper activity for Genecor Spezyme® was estimated to be 50 FPU/mL and 44 FPU/mL for dilution factors of 357 and 176 respectively. The variation in FPU/mL for the various dilution factors, suggests that the rate of hydrolysis of the filter paper is not directly proportional to the enzyme loading; and therefore the average of these values, 56 FPU/mL and 47 FPU/mL was used as the filter paper activities of Accelerase™1000 and Genencor spezyme® respectively. 30 cellulase 2.5 2 Yield of Reducing Sugars (mg/mL) y = 0.18264 + 0.02034x R = 0.94816 2 y = 0.0214 + 0.01228x R = 0.924 2 1.5 1 0.5 0 0 20 40 60 80 100 120 140 Time (minutes) Figure 4. 1+FPU Determination for Accelerase 1000 Yield of reducing sugars as a function of time for Accelerase™1000. ■ represents experiments that were performed with cellulase dilution ratio of 187 while the ♦ represent experiments that were performed with cellulase dilution ratio of 382. The solid lines are linear curve fits to the experimental data for the two different dilutions. The equations of the curve fits are also given in the figure. The hydrolysis occurred in acetate buffer. 31 2.5 2 Yield of Reducing Sugars (mg/mL) y = 0.21252 + 0.01846x R = 0.99193 2 y = 0.17275 + 0.00977x R = 0.9997 2 1.5 1 0.5 0 0 20 40 60 80 100 120 140 Time (minutes) Figure 4. 2+FPU Determination for Genencor Spezyme Yield of reducing sugars as a function of Time. ■ Symbol represents experiments that were performed with cellulase dilution ratio of 176 while the ♦ symbols represent experiments that were performed with cellulase dilution ratio of 357. The solid lines are linear curve fits to the experimental data for the two different dilutions. The equations of the curve fits are also given in the figure. The hydrolysis occurred in acetate buffer. A reason why the reaction rate may not be proportional to the enzyme loading could be due to the fact that the cellulases are a mixture of enzymes, which work synergistically with one another; therefore, it is possible that at different dilution factors, the synergistic cooperation of the enzymes may be different from one another 32 4.2 Effect of MMO on the Enzymatic Hydrolysis of Cellulose 4.2.1 Yield of Reducing Sugars for Different Concentrations of Cellulase MMO mixed with A look at the effect NMMO has on the enzymatic hydrolysis of cellulose is shown in Figure 4.3. The data was obtained by conducting an experiment by which the near monohydrate form of NMMO that contained 17% water was diluted with deionized water9 in 20mL vials9 so that the concentration of water in the NMMO solutions ranged from 30% to 100%. One mL of buffered Genencor Spezyme cellulase (buffered using pH 4.8 acetate buffer) was then mixed with 1 mL of each NMMO solution, in distinct test tubes, before the addition of 50 mg filter paper to the test tube. The hydrolysis of filter paper was allowed to occur for specific time periods, at 50C, in an incubator. The test tubes that did not contain filter paper, were used as enzyme blanks in order to subtract any contributions that the NMMO and cellulase may have, in the detection of reducing sugars, by the DNS analysis. The overall concentration of the cellulose was 25 mg/mL and the enzyme loading used was 157 FPU/g. The reaction was carried out using Genencor spezyme®. The increase in NMMO concentration lowered the enzyme activity significantly for suspended filter paper. After 96 hours of the reaction, 93% conversion had occurred in the test tube that contained only acetate buffer, while only 4% conversion had occurred in the test tube that contained 30% water. Moreover a significant increase in the sugar yield occurred in test tubes which had lower concentrations of NMMO. 33 100% Water 90% Water in 80% Water in 70% Water in 60% Water in 50% Water in 40% Water in 30% Water in Yield of Reducing sugars (mg/ml) 30 NMMO solution NMMO solution NMMO solution NMMO solution NMMO solution NMMO solution NMMO solution 25 20 15 10 5 0 0 20 40 60 80 100 Time Figure 4. 3+ Effect of MMO on Enzymatic Hydrolysis of filter Paper Effect of NMMO on enzymatic hydrolysis using different concentrations of water in NMMO/H20 solution Different concentrations of NMMO were used as the reaction medium, together with 1 mL of diluted cellulase solution. Each symbol represents the concentration of water in the NMMO/H20 solution. The inset shows what H20 concentration each symbol represents. The low conversion of cellulose due to the increased concentration of NMMO could be due to a pH effect because NMMO monohydrate has a pH of ~12, and, the enzymes used are active in slightly acidic environments (pH of ~5). Or it could also be a mass transfer effect 34 because it was observed that solutions which contained higher concentrations of NMMO had higher viscosities than solutions that had lower concentrations of NMMO, therefore, it is possible that the enzyme may be limited in its ability to diffuse through the NMMO. Finally, the low conversion could also be because the strong dipole interaction between nitrogen and oxygen in the NMMO may be deactivating some of the enzymes in the cellulase. This interaction can lead to the folding of the enzyme i.e. the overlapping of the hydrophobic and hydrophilic portion of the enzymes, thereby leading to the cellulase being deactivated. 4.2.2 Comparison of MMO/Cellulase Solution with Acetate Buffered Solution of various pH for 1 Hr Reaction with Genencor Spezyme® In order to test if the low conversion was a pH effect or a solvent effect, acetate buffered cellulase, which had the same pH of the various NMMO and cellulase in the test tubes mentioned in the previous section, was prepared by diluting the enzyme with a pH 4.8 acetate buffer and gradually adding drops of 50 w/w% NaOH till the desired pH was acquired. Table 4.1 shows the pH of the NMMO and cellulase solutions and the acetate buffered cellulase acquired. The hydrolysis of filter paper in test tubes that contained 2mL of the acetate buffered cellulase was allowed to occur for 1 hour. The enzyme loading used was 157 FPU/g, 50mg filter paper was used and the total concentration of filter paper was 25 mg/mL. The maximum amount of sugars that can be acquired is 27.8 mg/mL assuming 1 gram cellulose yields 1.11 gram sugars. Table 4. 1+pH of MMO Solution after Cellulase Addition versus Concentration of water in MMO solution Corresponding H2O Concentration in NMMO pH of NMMO after cellulase addition 100% 4.74 90% 6.14 70% 6.92 50% 7.64 30% 7.94 The results shown in Figure 4.4, shows that for the one hour time period, the yield of sugars in the acetate buffer was slightly higher than that of the NMMO solution of the same pH. This occurred for solutions which contained 50% and 30% water in the NMMO/water solution; however with solutions that contained 80% and 90% water in NMMO solution, the yield of 35 sugars was approximately similar to the acetate buffered enzyme solution. Genecor Spezyme® cellulase was used for this reaction. Yield of Reducing sugars (mg/mL) 3.5 3 2.5 2 1.5 1 0.5 0 4 5 6 7 8 9 pH Figure 4. 4+Comparison between MMO medium and Acetate Buffer Medium Using Genencor Spezyme Comparison between NMMO medium and acetate buffer medium of similar pH for 1 hour reaction of filter paper Yield of reducing sugars as a function of pH for a 1 hour reaction of filter paper with diluted Spezyme® cellulase. ■ symbol represents hydrolysis reactions performed using acetate buffered cellulase, while the ♦ symbol represents NMMO/H20 solution with different H20 concentrations as depicted in Table 4.1. This result shows that for high NMMO concentrations, the hydrolysis could be affected by the pH effect and the viscous nature of the NMMO solution, however at lower concentrations of NMMO; the effect seems to be more of a pH effect than a viscosity effect. Although previous work has shown that the enzymes were weakened by high concentrations of ionic liquids29, the 36 reason that was given to this occurrence was that the strong polar bonds, by which these liquids are able to dissolve cellulose, are deactivating the enzymes. 4.2.3 Comparison of MMO/Cellulase Solution with Acetate Buffered Solution of Various pH for 3 Hr Reaction with Accelerase™1000 Cellulase A further test of the effect NMMO has on the enzyme activity was conducted by using Accelerase™1000 cellulase which contains higher β9glucosidase activity (according to the Accelerase™1000 technical bulletin #1) than the previous cellulase used. The hydrolysis was allowed to run for 3 hours in this case; and the experimental conditions were similar to the previous experiment, that is, acetate buffer of similar pH was used to conduct the hydrolysis of filter paper, together with NMM0/H20 solvent of different NMMO concentrations. Figure 4.5 shows the results of this experiment. The acetate buffered hydrolysis produced higher glucose yields when compared to the solutions of NMMO, except for the solution that contained 10% NMMO. In comparison to the results given in the previous experiment, this shows that the effect NMMO has on the enzyme activity could be due to mass transfer limitations of the enzyme and/or interactions between the enzyme and the NMMO solvent. The low conversion rates of the filter paper in NMMO solutions are more pronounced for NMMO concentrations of 50% or lower. For example, the cellulose conversion to sugars for NMMO containing 50% water is, 7% lower when compared to acetate buffer of similar pH or 25% lower in comparison to acetate buffer of pH 4.8. This shows that for the hydrolysis of suspended filter paper, acetate buffer is a much preferred medium when compared with various concentrations of NMMO and deionized water. The hydrolysis reaction occurred for 3 hours while the hydrolysis reaction with the Genecor Spezyme® cellulase (previous section) occurred for 1 hour. The enzyme loading used in this experiment was 187 FPU/g and the overall cellulose concentration was 25 mg/mL. 4.2.4 Effect of Cellulase on Cellulose Dissolved in MMO and Filter paper in acetate buffer or MMO medium Although the cellulose activity is reduced for suspended cellulose by the NMMO medium, it was necessary to investigate this effect under a different experimental condition. The dissolution of cellulose by NMMO is a well documented effect. That is, the monohydrate or near monohydrate 37 form of NMMO (NMMO containing 13.3% 9 17% Water) has the ability to dissolve cellulose by breaking down the crystalline structure of the cellulose. This form of NMMO is a solid at room temperature and therefore was heated to 85C before it can dissolve the cellulose. For the purpose of studying the effect of the hydrolysis process on cellulose dissolved in NMMO, two cellulose substrates were used: Dissolving pulp (DP 1160) and filter paper (DP 7507). These substrates were hydrolyzed under 3 different reaction environments, of similar pH, however, the dissolving pulp had a higher degree of polymerization than filter paper. The first reaction medium contained one percent dissolving pulp that was completely dissolved in NMMO solvent: the NMMO solvent contained 17% Water. Five grams of the cellulose/NMMO solution were mixed with 5.8mL of 10 w/w% acetic acid in order to precipitate the cellulose, and 6.44mL diluted enzyme (diluted with deionized water) was added to the solution. The hydrolysis was allowed to proceed without the removal of the cellulose from the medium, that is, the cellulase was acting on the substrate as it came out of the NMMO solution. 38 Yield of Reducing sugars (mg/mL) 8 6 4 2 0 +2 4.5 5 5.5 6 6.5 7 7.5 8 8.5 pH Figure 4. 5+Comparison between MMO medium and Acetate Buffer medium using Accelerase 1000 Comparison between NMMO medium and acetate buffer medium, of similar pH, for 1 hour reaction of filter paper using Accelerase™1000 Yield of reducing sugars as a function of pH for a 3 hour reaction of filter paper with diluted Accelerase™1000 cellulase. The ▲ symbol represent hydrolysis reactions performed using acetate buffered cellulase, while the ■ symbol represent hydrolysis reactions in NMMO/H20 solution with different H20 concentrations as depicted in Table 4.1. The overall pH of the system was 5.7. The second reaction medium contained Whatman 4 filter paper which was inserted in a NMMO medium that contained the same amount of acetic acid and enzyme; however the filter paper was not allowed to dissolve in the NMMO medium before the beginning of the hydrolysis. The last reaction medium contained Whatman 4 filter paper inserted in a solution of acetate buffered enzyme and no NMMO was present. The concentration of the cellulose in all three systems was approximately 3.1 mg/mL, the enzyme activity was 122 39 FPU/g and the pH was 5.77. The reaction was allowed to proceed for 4 hours in a 50C heating shaker bath and was done in duplicate. Figure 4.6 shows that the hydrolysis of the cellulose while it is precipitating from the NMMO solution leads to a higher yield of reducing sugars when compared to the remaining two reaction mediums. For the duration of the enzymatic hydrolysis a significant increase in reducing sugars was observed for reaction medium one even though it had a higher degree of polymerization than the filter paper. However, the conversion of suspended filter paper to sugars, in a similar NMMO medium (reaction medium two) was very little. It is therefore evident that the NMMO pretreatment of the cellulose, followed by precipitation/gelation of the cellulose, before the enzymatic hydrolysis yields approximately 20% higher conversion when compared to suspended filter paper, of lower degree of polymerization, in an acetate buffer medium. 40 Yield of Reducing sugars (mg/ml) 2 1.5 1 0.5 0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 Time(Hr) Figure 4. 6+ Effect of Hydrolyzing Cellulose while it is coming out of Solution Effect of hydrolyzing cellulose while it is coming out of the NMMO solution .Yield of reducing sugars as a function of time using Accelerase™1000 cellulase The ■ symbol represents hydrolysis of cellulose in NMMO/cellulase reaction medium as cellulose is precipitating from the NMMO solution, the ♦ symbol represents hydrolysis of filter paper performed in acetate buffer medium of similar pH with NMMO/Celluase reaction medium, while the ▲ represents hydrolysis of filter paper in buffered NMMO/cellulase solution, however the filter paper was not dissolved in the NMMO/H20 solvent before hydrolysis. 4.3 Factors That Affect The Enzymatic Hydrolysis Some of the factors that affect the rate of enzymatic hydrolysis are: the enzyme loading, the temperature, the system pH and the pre9treatment of the cellulose material. The enzymatic hydrolysis often proceeds at a slow rate and long times may be required in order to achieve the desired conversion percentage because the reaction rate decreases due to the inhibition caused by 41 end products 1,20 . Since the hydrolysis is conducted with constant shaking of the reaction vessel and at a temperature higher than room temperature, it is an energy consuming process and therefore, it would not be economical to prolong the reaction beyond a certain time period. In our research we are trying to improve the conversion rate (therefore reducing the reaction time) of the hydrolysis by changing the structure of the substrate and the reaction medium. The structure of the crystalline cellulose material is changed to an amorphous structure by first dissolving the cellulose in the near monohydrate form of N9methylmorpholine9N9Oxide (NMMO) and then precipitating it from the solution by adding water to the system. A previous study4 has shown that the hydrolysis of the amorphous cellulose structure obtained from this precipitation increased the conversion rate by a factor of three (when compared to the hydrolysis of the crystalline cellulose structure). The enzyme loading, the pH and the temperature of the system were varied. The system was analyzed at a pH of 5.7 and 7.4. The reason these pH conditions were used was due to the highly basic nature of the NMMO solvent. A low pH requirement would require a large amount of acetic acid to be added to the system, which would increase the overall cost of the process. The experiments for the enzymatic hydrolysis were performed multiple times to ensure repeatability. The different experimental conditions are given in Appendix C. In summary, three different temperatures (40, 50 and 60C), two different pH's (5.7 and 7.4) and three different enzyme loadings (34.9, 122 and 1445.6 FPU/g) were investigated at a constant cellulose concentration of 3.1 mg/mL A low enzyme loading would be desired due to the current high cost of enzymes. All the reactions were allowed to proceed for 24 hours except for low enzyme loadings (34.9 FPU/g), which had a total reaction time of 48 hours, and 1mL aliquot was removed at certain times, to determine the concentration of reducing sugars by the DNS method. The glucose yields were measured using the DNS assay procedure and the percentages of conversion were calculated. The yield of reducing sugars for reactions at 40C and 50C, using acetic acid and deionized water as precipitating solvents, and an enzyme loading of 122 FPU/g, is shown in Figure 4.7, and the percent conversion of cellulose is shown in Table 4.3. 42 40C, pH 5.7 50C, pH 5.7 40C, pH 7.4 50C, pH 7.4 Yield of Reducing Sugars (mg/mL) 3.5 3 2.5 2 1.5 1 0.5 0 0 5 10 15 20 25 30 35 Time (Hours) Figure 4. 7+ Yield of Reducing Sugars as a function of Time at Different Reaction conditions Yield of reducing sugars as a function of time for dissolving pulp precipitating from NMMO/H20 solvent at temperatures of 40C and 50C reaction pH of 5.7 and 7.4 and enzyme activity of 122 FPU/g. 43 Table 4. 2+ Percentage Conversion of Cellulose at 40C and 50C, pH 5.7 and 7.4, and Enzyme Loading of 122 FPU/g Time 0.25 1 3 12 24 40C, pH 5.7 12% 31% 48% 61% 65% 40C, pH 7.4 19% 24% 33% 43% 51% 50C, pH 5.7 21% 38% 50% 60% 59% 50C, pH 7.4 16% 31% 35% 44% 45% It can be seen from Figure 4.7 and table 4.2 that although the sugar yields for the hydrolysis reactions at 40C and 50C increased continually with time, there was tendency that the rate of hydrolysis decreased with time. After 24 hours periods, the systems that utilized acetic acid as a precipitating medium had higher conversion rates when compared to the system in which deionized water was used. This shows that the cellulase are affected by the pH of the system. Moreover, the temperature of the system has an effect on the initial rate of hydrolysis, as can be seen from table 4.2, after 1 hour of the reaction at 40C the systems that utilized acetic acid and deionized water as precipiating solvents showed conversion rates of 31% and 24% respectively, while at 50C, 38% and 31% conversion was achieved by these systems. However at longer times, it seems like the lower temperature of the system favored higher cellulose conversion, for system of lower pH. For example after 24 hour reaction time the 40C system which utiliized acetic acid as the precipitating solvent yielded a 65% conversion of cellulose while the system at 50C remained at 59% cellulose conversion. Although the effect of enzyme loading cannot be seen in this table, for the majority of the reaction conditions utilized by this project, the higher enzyme loading yielded higher cellulose conversion rates. However, the conversion rate of all the reactions was not directly proportional to the enzyme loading. The plots of glucose yield with time for all the hydrolysis systems conducted in this project is in Appendix A. Acetic acid and deionized water were utilized as pH adjusting solvents, which precipitate the cellulose from the cellulose/NMMO/H2O solution, however a higher yield of reducing sugars was achieved when acetic acid was utilized as the pH adjusting solvent. This can be attributed to the lower pH achieved by the acetic acid solvent. NMMO has a pH of ~12, and the optimum cellulase pH, according to the cellulase manufacturers is 4.8. Therefore the use of acetic acid as a precipitating solvent would bring the pH closer to the optimum pH of the cellulase when 44 compared to utilizing the deionized water. The pH of the 10% w/w acetic acid solution was found to be 2.2, while the pH of deionized water was 5.7. Figure 4.7 showed that the highest conversion, with an enzyme loading of 122 FPU/g, was achieved when acetic acid was used as a precipition solvent and the temperature of the system was 40C. 4.3.1 Effect of Temperature Although, the preferred temperature for cellulase in hydrolysis of biomass material has been accepted to be between 35950C 16 , some investigators have found that some enzymes can be stabilized at high temperatures in ionic liquids39,40, however, higher operational temperatures would lead to higher energy consumption which may not be suitable for the operational cost of the process. To determine the effect of temperature on hydrolysis, experiments that had similar enzyme loadings and precipitation agents were conducted on dissolving pulp. The trials were carried out in 40C, 50C and 60C water baths. The yields of reducing sugars with time at 40C, 50C and 60C at pH 5.7 and different enzyme loadings is shown in Figures 4.8 and 4.9, and 4.10. 45 Yield of Reducing Sugars (mg/ml) 2 1.5 1 0.5 0 0 5 10 15 20 25 30 Time (Hours) Figure 4. 8+ Effect of Temperature at pH 5.7 and 34.9 FPU/g Enzyme Loading Effect of Temperature at pH 5.7 and Enzyme loading 34.9 FPU/g Yield of reducing sugars with time at pH 5.7, enzyme loading 34.9 FPU/g and temperatures of: 40C, 50C and 60C. ■40 C, ♦50C, ▲60C 46 Yield of reducing sugars (mg/ml) 3 2.5 2 1.5 1 0.5 0 0 5 10 15 20 25 30 35 Time (Hours) Figure 4. 9+Effect if Temperature at pH 5.7 and 122 FPU/g Enzyme Loading Effect of Temperature at pH 5.7 and Enzyme loading 122 FPU/g. Yield of reducing sugars with time at pH 5.7, enzyme loading 122 FPU/g and temperatures of: 40C, 50C and 60C. ■40 C, ♦50C, ▲60C 47 Yield of Reducing Sugars (mg/ml) 3.5 3 2.5 2 1.5 1 0 5 10 15 20 25 Time (Hour) Figure 4. 10+ Effect of Temperature at pH 5.7 and 1445.6 FPU/g Enzyme Loading Effect of Temperature at pH 5.7 and Enzyme loading 1445.6 FPU/g. Yield of reducing sugars with time at pH 5.7, enzyme loading 1445.6 FPU/g and temperatures of: 40C, 50C and 60C. ■40 C, ♦50C, ▲60C Table 4. 3+Percentage Conversion of Cellulose at Different Temperatures, Enzyme Loading and pH after 24 Hours Enzymatic Reaction Enzyme loading, pH 40C 50C 60C 34.9 FPU/g, pH 5.7 46% 54% 17% 34.9 FPU/g, pH 7.4 33% 27% 6% 122 FPU/g, pH 5.7 65% 59% 28% 122 FPU/g, pH 7.4 51% 45% 9% 1445.6 FPU/g, pH 5.7 77% 89% 56% 1445,6 FPU/g, pH 7.4 92% 66% 32% 48 Table 4. 4+Percentage Conversion of Cellulose at Different Temperature, Enzyme Loading and pH after 3 Hours Enzymatic Reaction Enzyme loading, pH 40C 50C 60C 34.9 FPU/g, pH 5.7 16% 38% 37% 34.9 FPU/g, pH 7.4 9% 13% 19% 122 FPU/g, pH 5.7 29% 48% 50% 122 FPU/g, pH 7.4 15% 33% 35% 1445.6 FPU/g, pH 5.7 49% 77% 72% 1445.6 FPU/g, pH 7.4 46% 76% 69% Figures 4.8, 4.9 and 4.10 show the effects of temperature on the yield of reducing sugars versus time curve, at a pH of 5.7, and enzyme loadings of 34.9, 122 and 1445.6 FPU/g respectively. The effect of temperature on these curves are similar to the 7.4 pH systems ( curves attached in appendix A), in that the enzymatic hydrolysis at 40C and 50C have similar conversion rates for the first six hours of the reaction , however after this time period the glucose yield was dependent on the temperature and system pH. Tables 4.3 and 4.4 tabulates the yield of reducing sugars after 3 hours and 24 hours respectively. This table together with figures 4.8, 4.9 and 4.10, show that the yield of reducing sugars was lowest at 60C for all identical experimental conditions. However, after 24 hour reaction time, it can be observed from the table that 5.7 pH systems at 50C, had higher cellulose conversion when compared to 7.4 pH systems, except for the 122 FPU/g enzyme loading system. At this enzyme loading there was no distinct differece between the two temperatures (with the inclusion of error bars). However, it can be observed from table 4.3 that reactions at 40C favored 7.4 pH conditions and the highest conversion rate achieved after 24 hours was 92%, with an enzyme loading of 1445.6 FPU/g, at 40C, and pH 7.4. It can also be observed that after 3 hour hydrolysis, the 40C and 50C reaction systems yielded approximately the same amount of reducing sugars, except for the systems that had an enzyme dilution of 34.9 FPU/g and a pH of 7.4. For these systems 50C was the more favorable temperature. These results suggest that, from an economic stand point, the cellulase is active at approximately 40C for most reaction conditions, however the optimum temperature would ultimately depend on the enzyme loading and the pH of the system. 49 The reactions at 60C showed the lowest yield of sugars for all pH and enzyme loadings. From figures 4.8,4.9 and 4.10 it can be observed that at 60C, the conversion of cellulose to sugars stops within the first hour of the reaction for all enzyme loadings, however the yield of sugars within this hour is dependent on the enzyme loading and pH. This shows that 60C is the least favorable temperature for the conversion of cellulose to sugars for this enzymatic reaction system. For all the reaction systems, approximately 0.5 mg/mL reducing sugar concentration was produced within 15 minutes of the enzymatic reaction, which shows that the temperature, pH and enzyme loadings may not affect the initial adsorption of the cellulase on the cellulose surface. 4.3.2 Effect of Enzyme Loading The commercial cellulase enzyme used in this study had a filter paper activity of 56 FPU/mL. The type of enzyme or cellulase used would have an effect on the amount of reducing sugars released due to the variation of enzyme components in the cellulase or the activity of the enzymes. In a typical system, higher enzyme loadings would generate higher cellulose conversion rates due to the increase in the catalytic conversion of the cellulose material to sugars. However, from an economic standpoint it is necessary to produce sugars at low enzyme loadings because the cellulase enzyme is an expensive mixture that may end up being the main cost of the entire process. Figure 4.11 and 4.12 presents the reducing sugars yield of the cellulose substrate using two different precipitation solvents to precipitate the cellulose from the NMMO solvent : deionized water and 10 w/w% acetic acid. Therefore the pH of hydrolysis system in figure 4.11 is 7.4 while the pH of the hydrolysis system in figure 4.12 is 5.7. The enzyme loadings used were: 34.9, 122 and 1445.6 FPU/g substrate. Each reaction was carried out at 40C, 50C and 60C and for a 249hour period. 50 Yield of Reducing Sugars (mg/mL) 3.5 3 2.5 2 1.5 1 0.5 0 0 5 10 15 20 25 30 35 Time (Hours) Figure 4. 11+Effect of Enzyme Loading at 40C and pH 7.4 Effect of Enzyme Loading at 40C and pH 7.4 Yield of reducing sugars with time at 40C, pH 7.4 and enzyme loadings of: 34.9, 122 and 1445.6 FPU/g. ♦1445.6 FPU/g, ■122 FPU/g, ▲34.9 FPU/g 51 Yield of Reducing Sugars (mg/mL) 3.5 3 2.5 2 1.5 1 0.5 0 0 5 10 15 20 25 30 35 Time (Hours) Figure 4. 12+ Effect of Enzyme Loading at 40C and pH 5.7 Effect of Enzyme Loading at 40C and pH 5.7 Yield of reducing sugars with time at 40C, pH 5.7 and enzyme loadings of: 34.9, 122 and 1445.6 FPU/g. ♦1445.6 FPU/g, ■122 FPU/g, ▲34.9 FPU/g From figures 4.11 and 4.12, which show the effect of enzyme loading at 40C and two different pH conditions: 5.7 and 7.4. The experiments showed that increasing the enzyme loading leads to an increase in cellulose conversion, however, the percentage increase in cellulose conversion, by the increase in the enzyme loading, is dependent on the utilized enzyme loading: the system pH, and the temperature. At all similar system conditions, except at 40C and a pH 5.7, an enzyme loading of 1445.6 FPU/g produced a significant increase in the cellulose conversion in comparison to enzyme loadings of 34.9 and 122 FPU/g. At 40C and a system pH of 5.7 the overall cellulose conversion was not so significant utilizing an enzyme loading of 1445.6 FPU/g 52 in comparison to other enzyme loadings. This may be because 40C reaction systems favored higher pH conditions as noted in section 4.3.1. The effect of cellulose conversion when the enzyme loading is increased from 34.9 to 122 FPU/g is dependent on the pH and temperature of the system. Table 4. 5+Percentage Conversion of Cellulose at Different Temperatures and Enzyme Loading at pH 7.4 after 24 Hours Enzymatic Reaction 40C 50C 60C 34.9 FPU/g, pH 7.4 33% 27% 122 FPU/g, pH 7.4 51% 45% 1445.6 FPU/g, pH 7.4 92% 66% 6% 9% 32% Table 4. 6+Percentage Conversion of Cellulose at Different Temperatures and Enzyme Loading at pH 5.7, after 24 Hours Enzymatic Reaction 40C 50C 60C 34.9 FPU/g, pH 5.7 46% 54% 122 FPU/g, pH 5.7 1445.6 FPU/g, pH 5.7 65% 77% 59% 89% 17% 28% 56% From tables 4.5 and 4.6, which show the percentage conversion after 24 hours, it can be observed that increasing the enzyme loading from 34.9 FPU/g to 122 FPU/g, while utilizing acetic acid as the precipitaing agent, increased the conversion of the cellulose substrate from 54% to 59% at a temperature of 50C. At 40C the same increase in the enzyme loading increased the conversion rate from 46% to 64%. When deionized water was utilized as the precipitating agent (therefore increasing the pH of the system) the corresponding conversion rate was increased from 27% to 45% at 50C, while at 40C an increase from 33% to 51% was observed. At 60C, this increase in the cellulase loading was quite effective for a system pH of 5.7 ( 17% to 28%) but not really effective for a system pH of 7.4 (6% to 9%). A reoccuring trend that can be acquired is that the increase in enzyme loading is not proportional to increase in cellulose substrate concentration. This may be due to limited accesible substrate sites, that is, the amount sites available to the enzyme for the hydrolysis of the cellulose molecule was limited by the substrate concentration. However, the effect of increasing the enzyme loading depends on the pH and temperature of the system. At higher system pH the increase in enzyme loading is effective, except at 60C; but when a lower pH was utilized, increases in enzyme 53 loadings were effective for systems at a temperature of 40C and 60C but not at 50C. According to the manufacturers of the Trichoderma cellulase system, the optimum pH and temperature of the cellulase are 4.8 and 50C respectively. Therefore variations in the enzyme loading at 50C and a pH of 5.7, which is closer to the optimum cellulase pH of 4.8 when compared to a pH of 7.4, may not have an effect on the sugars released by the system. Calculation of the sugar yield per cellulase loading at different cellulase loadings would show that the optimum sugar yield per enzyme loading is highest when the cellulase loading is 34.9 FPU/g. Therefore the optimum enzyme loading should depend on the desired conversion rate and the time of hydroysis. 4.3.3 Effect of pH There are various methods of pre9treating cellulose. Some of these methods involve the physical or chemical modification of the cellulosic material. In this project the dissolving pulp was first dissolved in a NMMO/H20 solvent, in order to break down the hydrogen bonds that give cellulose its rigid structure. Due to the basic nature of this solvent (pH ~ 12), and the fact that the solvent is a solid at room temperature (has a melting point of 78C), this medium would not be suitable for the enzymatic hydrolysis of cellulose. The addition of a precipitating solvent that can precipitate the cellulose before the enzymatic hydrolysis, reduce the pH of the medium and change the chemical properties of the NMMO solvent would therefore increase the susceptibility of the medium to cellulose hydrolysis. In this project, deionized water and Acetic acid (10 w/w %) were used as precipitation solvents to serve this purpose. By using deionized water as the precipitation solvent, the overall pH of the hydrolysis system was 7.4, while by utilizing acetic acid as the precipitation solvent the overall pH was 5.7. By utilizing both precipitation solvents the effect of pH system was analyzed. Figures 4.13, 4.14 and 4.15: show the sugar yields in mg/mL resulting from these precipitating agents for enzyme loadings of 34.9, 122, 1445.6 FPU/g respectively. Table 4.7 lists the conversion rates of the enzymatic hydrolysis. 54 Yield of Reducing Sugars (mg/mL) 3 2.5 2 1.5 1 0.5 0 0 5 10 15 20 25 30 35 Time Figure 4. 13+ Effect of pH at 40C and 122 FPU/g Enzyme Loading Effect of pH at 40C and enzyme loading 122 FPU/g Yield of reducing sugars with time at 40C and an enzyme loading of 122 FPU/ at different pH 5.7 and 7.4 ■ 5.7 pH system, ♦7.4 pH system 55 Yield of Reducing Sugars (mg/mL) 2.5 2 1.5 1 0.5 0 0 5 10 15 20 25 Time (Hours) Figure 4. 14+ Effect of pH at 50C and 122 FPU/g Enzyme Loading Effect of pH at 50C and enzyme loading 122 FPU/g. Yield of reducing sugars with time at 50C and an enzyme loading of 122 FPU/ at different pH 5.7 and 7.4 ■ 5.7 pH system, ♦7.4 pH system 56 Yield of Reducing Sugars (mg/mL) 1.4 1.2 1 0.8 0.6 0.4 0.2 0 5 10 15 20 25 Time (Hours) Figure 4. 15+Effect of pH at 60C and 122 FPU/g Enzyme Loading Effect of pH at 60C and enzyme loading 122 FPU/g Yield of reducing sugars with time at 60C and an enzyme loading of 122 FPU/ at different pH 5.7 and 7.4 ■ pH 5.7 systems, ♦ pH 7.4 systems 57 Table 4. 7+ Percentage Conversion of Cellulose at Different Temperatures, pH and Enzyme Loadings, after 24 Hours Enzymatic Reaction 40C, 122 FPU/g 50C, 122 FPU/g 60C, 122 FPU/g pH 5.7 65% 59% 28% pH 7.4 51% 45% 9% pH 5.7 pH 7.4 40C, 1445.6 FPU/g 77% 92% pH 5.7 pH 7.4 40C, 34.9 FPU/g 46% 33% 50C, 1445.6 FPU/g 60C, 1445.6 FPU/g 89% 56% 66% 32% 50C, 34.9 FPU/g 54% 27% 60C, 34.9 FPU/g 17% 6% Figures 4.13, 4.14 and 4.15 show that the lower the pH of the system the higher the cellulose conversion rate for all temperatures and enzyme loadings, except at a temperature of 40C and an enzyme loading of 1445.6 FPU/g (this figure is in appendix A), where it was observed that the higher pH of the system yielded a higher conversion rate. A previous study by Hang and Woodams16 has shown that at a pH of 5, sugar yields from corn husk were higher than that of pH 4 and pH 7. It was also observed that at 40C, 50C and 60C, the total sugar yields were slightly different. The results of this study show a similar pH effect however, the total sugar yields is also influenced by the temperature as can be seen in table 4.7. The higher conversion rate observed using a higher pH, enzyme loading of 1445.6 FPU/g and temperature of 40C could be because the large enzyme loading may be stabilized at a temperature of 40C when compared to 50C. However the results indicate that in general, a lower system pH would be favorable. At 60C and a pH of 7.4, even though the conversion of cellulose to sugars stopped within the first hour, there was a gradual decrease in the amount of detectable soluble sugars by the DNS method. According Adorjan et al35, monosaccharide sugars, under lyocell conditions, undergo isomerization reactions similar to aqueous alkaline conditions and this leads to the formation of aldopentoses and aldohexoses from glucose, thereby reducing the concentration of detectable sugars in the system. This might be what is occurring in the system at 60C, another explanation for this gradual decrease in reducing sugars may be the formation humins, which are sugars that 58 are linked by additional components thereby forming linkages that are resistant to enzymatic hydrolysis. This explanation was explained by Sievers et al36, when a similar occurrence was observed while hydrolyzing pine wood in an ionic liquid phase at high temperatures under acidic conditions. 4.4 Interaction Between Temperature and pH A factorial analysis on the interaction between pH and temperature was conducted in order to determine if there was an interaction between the temperature and the pH. By using the reducing sugar yields after 24 hours to conduct the analysis, Figures 4.16, 4.17 and 4.18 were obtained. These figures show the effect of temperature on pH for enzyme loadings of 34.9, 122 and 1445.6 FPU/g. From these figures it was observed that the interaction between temperature and pH occurred only at an enzyme loading of 1446.5 FPU/g (Figure 4.18). At this enzyme loading, a temperature of 40C produced more sugar yields at a system pH of 7.4, while a temperature of 50C produced more sugar yields at a system pH of 5.7. This shows that at this particular enzyme loading, a lower temperature (40C) favors a higher system pH (7.4), while a higher temperature (50C) favors a lower system pH (pH 5.7). 59 Yield of Reducing Sugars (mg/ml) 2.00 1.80 1.60 1.40 1.20 1.00 pH 5.7 pH 7.4 0.80 0.60 0.40 0.20 0.00 30 40 50 60 70 Temperature C tween Temperature and pH at 34.9 FPU/g Enzyme nzyme Loading Figure 4. 16+Interaction Between 60 Yield of Reducing Sugars (mg/ml) 2.50 2.00 1.50 5.7 7.4 1.00 0.50 0.00 30 40 50 60 70 Temperature C tween Temperature and pH at 122 FPU/g Enzyme zyme Loading Figure 4. 17+Interaction Between 61 Yield of Reducing Sugars (mg/ml) 3.50 3.00 2.50 2.00 pH 5.7 1.50 pH 7.4 1.00 0.50 0.00 30 40 50 60 70 Temperature C tween Temperature and pH at 1445.6 FPU/g Enzyme Enzy Loading Figure 4. 18+Interaction Between 62 CHAPTER 5 CO CLUSIO S The enzymatic reaction of cellulose was studied under different reaction conditions. At these reaction conditions the glucose yield increased gradually with time however, the times at which the enzyme was inactivated, or the time rate of the cellulose conversion ended, differed with the reaction medium being used. For all reaction mediums, it was observed that the rate of hydrolysis was highest at the beginning, but gradually decreased with reaction time due to the accumulation of end products or the gradual inactivation of the cellulase by the medium. Through the comparison of different reaction mediums, it was seen that the reaction medium that yielded the highest amount of reducing sugars was the medium in which the cellulose substrate was originally dissolved in the near monohydrate form of NMMO, and the hydrolysis took place while the cellulose was coming out of the solution. By using different precipitating solvents to precipitate the cellulose from the NMMO solvent, the pH of the system was varied, and it was determined that a lower system pH yielded a higher cellulose conversion rate. It was also observed that an increase in the enzyme loading resulted in higher conversion rates, however the sugar yield per unit enzyme decreased as the enzyme loading increased. The optimum enzyme loading is dependent on the temperature of the system, the desired sugar yield and the available hydrolysis time. It was observed that for the different pH and enzyme loading reaction systems the favorable hydrolysis temperature was 40C. Increasing the temperature to 50C led to faster enzyme inactivation, while increasing it to 60C resulted in lower sugar yields. The enzymatic hydrolysis of dissolving pulp, originally dissolved in the near monohydrate form of NMMO had a similar conversion rate at both 40C and 50C after 3 hours enzymatic hydrolysis. However, under the same experimental conditions, it seems the decrease in conversion rate at 50C is higher than at 40C, for example, after 24 hours enzymatic hydrolysis 65% conversion was observed at 40C and 122FPU/g enzyme loading while 59% conversion was observed at 50C and the same enzyme loading. This was similar for all the enzyme loadings, except at 34.9FPU/g and 1445.6 FPU/g. The pre9treatment process used in this study included grinding of the dissolving pulp and dissolving it in the near monohydrate form of NMMO before the enzymatic hydrolysis. Dissolving the cellulose affected the enzymatic hydrolysis rate. The cellulose conversion observed when the hydrolysis occurred as cellulose was coming out of solution, with 63 NMMO/H2O, was higher than when the cellulose was suspended in an acetate buffer medium or a similar NMMO/H2O medium. This suggests that the NMMO pretreatment of the cellulose is effective. The hydrolysis rate was improved by using 10 % (w/w) acetic acid as the precipitation solvent rather than using deionized water, suggesting that the enzyme activity was improved at a higher pH. The higher the enzyme loading, the higher the yield of reducing sugars however, the increase in reducing sugars was not proportional to the increase in enzyme loading. Almost all experimental conditions showed that at 50C a pH of 5.7 was preferred while at 40C a pH of 7.4 was preferred. 64 CHAPTER 6 RECOMME DATIO S The recommendations and suggestions on this study are as follows: The detailed characterization of products of the enzymatic hydrolysis by HPLC would help characterize how the cellulose is degraded to sugars. This would lead to information about how the enzymes are affected by the reaction system. The use of different cellulosic substrates and cellulose concentrations would help determine the sensitivity of the system to various raw materials. Further research on enzymes that can degrade the cellulose at high pH would reduce the use of water or acetic acid that may be needed by the process. Examination into the recycle of the enzymes, and the effect of recycling. This would help determine how much fresh enzyme would be needed if there exists some deactivation of recycled enzymes. An integrated process system for the hydrolysis of cellulose may lead to an efficient and economical process. 65 APPE DIX A SUGAR YIELDS (MG/ML) AS A FU CTIO OF TIME APPE DIX A.1 40C DATA Yield of Reducing Sugars (mg/mL) 3.5 3 2.5 2 1.5 1 0.5 0 0 5 10 15 20 25 30 35 Time (Hour) Figure A.1: Effect of Enzyme Loading at 40C and pH 7.4. Yield of reducing sugars with time at 40C, pH 5.7 and enzyme loadings of: 34.9, 122 and 1445.6 FPU/g. ♦1445.6 FPU/g, ■122 FPU/g, ▲34.9 FPU/g 66 Yield of Reducing Sugars (mg/mL) 3.5 3 2.5 2 1.5 1 0.5 0 0 5 10 15 20 25 30 35 Time (Hour) Figure A.2: Effect of Enzyme Loading at 40C and pH 5.7. Yield of reducing sugars with time at 40C, pH 5.7 and enzyme loadings of: 34.9, 122 and 1445.6 FPU/g. ♦1445.6 FPU/g, ■122 FPU/g, ▲34.9 FPU/g 67 Yield of Reducing Sugars (mg/mL) 3.5 3 2.5 2 1.5 1 0.5 0 0 5 10 15 20 25 Time (Hour) Figure A.3: Effect of pH at 40C and enzyme loading 1445.6 FPU/g Yield of reducing sugars with time at 40C and an enzyme loading of 1445.6 FPU/g at different pH 5.7 and 7.4. ■ 5.7 pH system, ♦7.4 pH system 68 Yield of Reducing Sugars (mg/mL) 3.5 3 2.5 2 1.5 1 0.5 0 0 5 10 15 20 25 30 35 Time (Hour) Figure A.4: Effect of pH at 40C and enzyme loading 122 FPU/g. Yield of reducing sugars with time at 40C and an enzyme loading of 122 FPU/g at pH 5.7 and 7.4. ■ 5.7 pH system, ♦7.4 pH system 69 Yield of Reducing Sugars (mg/mL) 2 1.5 1 0.5 0 0 10 20 30 40 50 Time (Hour) Figure A.5: Effect of pH at 40C and enzyme loading 34.9 FPU/g Yield of reducing sugars with time at 40C and an enzyme loading of 34.9 FPU/g at different pH 5.7 and 7.4. ■ 5.7 pH system, ♦7.4 pH system 70 APPE DIX A.2 50C DATA Yield of Reducing Sugars (mg/mL) 3.5 3 2.5 2 1.5 1 0.5 0 0 5 10 15 20 25 30 Time (Hour) Figure A.6: Effect of Enzyme Loading at 50C and pH 5.7. Yield of reducing sugars with time at 50C, pH 5.7 and enzyme loadings of: 34.9, 122 and 1445.6 FPU/g. ♦1445.6 FPU/g, ■122 FPU/g, ▲34.9 FPU/g 71 Yield of Reducing Sugars (mg/mL) 3 2.5 2 1.5 1 0.5 0 0 10 20 30 40 50 Time (Hour) Figure A.7: Effect of Enzyme Loading at 50C and pH 7.4. Yield of reducing sugars with time at 50C, pH 7.4 and enzyme loadings of: 34.9, 122 and 1445.6 FPU/g. ♦1445.6 FPU/g, ■122 FPU/g, ▲34.9 FPU/g 72 Yield of Reducing Sugars (mg/mL) 2.5 2 1.5 1 0.5 0 0 5 10 15 20 25 Time (Hour) Figure A.8: Effect of pH at 50C and enzyme loading 122 FPU/g Yield of reducing sugars with time at 50C and an enzyme loading of 122 FPU/g at pH 5.7 and 7.4. ■ 5.7 pH system, ♦7.4 pH system 73 Yield of Reducing Sugars (mg/mL) 3.5 3 2.5 2 1.5 1 0.5 0 5 10 15 20 25 30 Time (Hour) Figure A.9: Effect of pH at 50C and enzyme loading 1445.6 FPU/g. Yield of reducing sugars with time at 50C and an enzyme loading of 1445.6 FPU/g at pH 5.7 and 7.4. ■ 5.7 pH system, ♦7.4 pH system 74 Yield of Reducing Sugars (mg/mL) 2 1.5 1 0.5 0 0 10 20 30 40 50 Time (Hour) Figure A.10: Effect of pH at 50C and enzyme loading 34.9 FPU/g. Yield of reducing sugars with time at 50C and an enzyme loading of 34.9 FPU/g at pH 5.7 and 7.4. ■ 5.7 pH system, ♦7.4 pH system 75 APPE DIX A.3 60C DATA Yield of reducing Sugars (mg/ml) 2 1.5 1 0.5 0 0 5 10 15 20 25 Time (Hour) Figure A.11: Effect of Enzyme Loading at 60C and pH 7.4. Yield of reducing sugars with time at 60C, pH 7.4 and enzyme loadings of: 34.9, 122 and 1445.6 FPU/g. ♦1445.6 FPU/g, ■122 FPU/g, ▲34.9 FPU/g 76 Yield of Reducing Sugars (mg/ml) Time (Hour) Figure A.12: Effect of Enzyme Loading at 60C and pH 5.7. Yield of reducing sugars with time at 60C, pH 5.7 and enzyme loadings of: 34.9, 122 and 1445.6 FPU/g. ♦1445.6 FPU/g, ■122 FPU/g, ▲34.9 FPU/g 77 Yield of Reducing Sugars (mg/mL) 1.4 1.2 1 0.8 0.6 0.4 0.2 0 0 5 10 15 20 25 Time (Hour) Figure A.13: Effect of pH at 60C and enzyme loading 122 FPU/g Yield of reducing sugars with time at 60C and an enzyme loading of 122 FPU/g at pH 5.7 and 7.4. ■ 5.7 pH system, ♦7.4 pH system 78 Yield of Reducing Sugars (mg/mL) 2.5 2 1.5 1 0.5 0 0 5 10 15 20 25 Time (Hour) Figure A.14: Effect of pH at 60C and enzyme loading 1445.6 FPU/g. Yield of reducing sugars with time at 60C and an enzyme loading of 1445.6 FPU/g at pH 5.7 and 7.4. ■ 5.7 pH system, ♦7.4 pH system 79 Yield of Reducing Sugars (mg/mL) 0.8 0.6 0.4 0.2 0 0 5 10 15 20 25 Time (Hour) Figure A.15: Effect of pH at 60C and enzyme loading 34.9 FPU/g Yield of reducing sugars with time at 60C and an enzyme loading of 34.9 FPU/g at pH 5.7 and 7.4. ■ 5.7 pH system, ♦7.4 pH system 80 APPE DIX B. PERCE TAGE CELLULOSE CO VERSIO AS A FU CTIO OF TIME APPE DIX B.1 40C DATA 100 % Conversion 80 60 40 20 0 0 5 10 15 20 25 30 35 Time (Hour) Figure B.1: Effect of Enzyme Loading at 40C and pH 7.4. Percentage Conversion of cellulose with time at 40C, pH 5.7 and enzyme loadings of: 34.9, 122 and 1445.6 FPU/g. ♦1445.6 FPU/g, ■122 FPU/g, ▲34.9 FPU/g 81 100 % Conversion 80 60 40 20 0 0 5 10 15 20 25 30 Time (Hour) Figure B.2: Effect of Enzyme Loading at 40C and pH 5.7. Percentage Conversion of cellulose with time at 40C, pH 5.7 and enzyme loadings of: 34.9, 122 and 1445.6 FPU/g. ♦1445.6 FPU/g, ■122 FPU/g, ▲34.9 FPU/g 82 100 % Conversion 80 60 40 20 0 0 5 10 15 20 25 Time (Hour) Figure B.3: Effect of pH at 40C and enzyme loading 1445.6 FPU/g. Percentage Conversion of cellulose with time at 40C and an enzyme loading of 1445.6 FPU/g at different pH 5.7 and 7.4. ■ 5.7 pH system, ♦7.4 pH system 83 80 70 % Conversion 60 50 40 30 20 10 0 0 5 10 15 20 25 30 35 Time (Hour) Figure B.4: Effect of pH at 40C and enzyme loading 122 FPU/g. Percentage Conversion of cellulose with time at 40C and an enzyme loading of 122 FPU/ at pH 5.7 and 7.4. ■ 5.7 pH system, ♦7.4 pH system 84 60 % Conversion 50 40 30 20 10 0 0 10 20 30 40 50 Time (Hour) Figure B.5: Effect of pH at 40C and enzyme loading 34.9 FPU/g. Percentage Conversion of cellulose with time at 40C and an enzyme loading of 34.9 FPU/g at different pH 5.7 and 7.4. ■ 5.7 pH system, ♦7.4 pH system 85 APPE DIX B.2 50C DATA 100 % Conversion 80 60 40 20 0 0 5 10 15 20 25 30 Time (Hour) Figure B.6: Effect of Enzyme Loading at 50C and pH 5.7. Percentage Conversion of cellulose with time at 50C, pH 5.7 and enzyme loadings of: 34.9, 122 and 1445.6 FPU/g. ♦1445.6 FPU/g, ■122 FPU/g, ▲34.9 FPU/g 86 100 % Conversion 80 60 40 20 0 0 10 20 30 40 50 Time (Hour) Figure B.7: Effect of Enzyme Loading at 50C and pH 7.4. Percentage Conversion of cellulose with time at 50C, pH 7.4 and enzyme loadings of: 34.9, 122 and 1445.6 FPU/g. ♦1445.6 FPU/g, ■122 FPU/g, ▲34.9 FPU/g 87 70 60 % Conversion 50 40 30 20 10 0 0 5 10 15 20 25 Time (Hour) Figure B.8: Effect of pH at 50C and enzyme loading 122 FPU/g. Percentage Conversion of cellulose with time at 50C and an enzyme loading of 122 FPU/g at pH 5.7 and 7.4. ■ 5.7 pH system, ♦7.4 pH system 88 100 % Conversion 80 60 40 20 0 0 5 10 15 20 25 30 Time (Hour) Figure B.9: Effect of pH at 50C and enzyme loading 1445.6 FPU/g. Percentage Conversion of cellulose with time at 50C and an enzyme loading of 1445.6 FPU/g at pH 5.7 and 7.4. ■ 5.7 pH system, ♦7.4 pH system 89 60 % Conversion 50 40 30 20 10 0 0 10 20 30 40 50 Time (Hour) Figure B.10: Effect of pH at 50C and enzyme loading 34.9 FPU/g. Percentage Conversion of cellulose with time at 50C and an enzyme loading of 34.9 FPU/g at pH 5.7 and 7.4. ■ 5.7 pH system, ♦7.4 pH system 90 APPE DIX B.3 60C DATA 60 % Conversion 50 40 30 20 10 0 0 5 10 15 20 25 Time (Hour) Figure B.11: Effect of Enzyme Loading at 60C and pH 7.4. Percentage Conversion of cellulose with time at 60C, pH 7.4 and enzyme loadings of: 34.9, 122 and 1445.6 FPU/g. ♦1445.6 FPU/g, ■122 FPU/g, ▲34.9 FPU/g 91 60 % Conversion 50 40 30 20 10 0 0 5 10 15 20 25 Time (Hour) Figure B.12: Effect of Enzyme Loading at 60C and pH 5.7. Percentage Conversion of cellulose with time at 60C, pH 5.7 and enzyme loadings of: 34.9, 122 and 1445.6 FPU/g. ♦1445.6 FPU/g, ■122 FPU/g, ▲34.9 FPU/g 92 40 35 % Conversion 30 25 20 15 10 5 0 0 5 10 15 20 25 Time (Hour) Figure B.13: Effect of pH at 60C and enzyme loading 122 FPU/g. Percentage Conversion of cellulose with time at 60C and an enzyme loading of 122 FPU/g at pH 5.7 and 7.4. ■ 5.7 pH system, ♦7.4 pH system 93 % Conversion 0 5 10 15 20 25 Time (Hour) Figure B.14: Effect of pH at 60C and enzyme loading 1445.6 FPU/g. Percentage Conversion of cellulose with time at 60C and an enzyme loading of 1445.6 FPU/g at pH 5.7 and 7.4. ■ 5.7 pH system, ♦7.4 pH system 94 20 % Conversion 15 10 5 0 0 5 10 15 20 25 Time (Hour) Figure B.15: Effect of pH at 60C and enzyme loading 34.9 FPU/g. Percentage Conversion of cellulose with time at 60C and an enzyme loading of 34.9 FPU/g at pH 5.7 and 7.4. ■ 5.7 pH system, ♦7.4 pH system 95 APPE DIX C DILUTIO , WEIGHT OF 1% LYOCELL SOLUTIO A D E ZYME ACTIVITY FOR EACH EXPERIME T 1+58_pH 5.7 Dilution 58.9 58.5 59.7 59.7 59.7 1+58_pH 5.7 1% solution 5.0 5.1 5.0 5.0 5.0 FPU/g 122.2 120.6 121.5 122.0 120.3 5.1 5.1 5.0 118.0 117.6 121.4 4.9 4.8 5.2 5.1 1425.3 1465.0 4.9 5.0 5.0 5.0 5.0 5.0 5.1 5.1 1481.0 1433.5 1421.5 1412.7 203.1 5.0 35.5 203.1 5.0 35.4 203.1 5.0 35.6 5.0 5.1 5.1 35.7 34.9 35.1 Dilution 62.5 58.0 56.0 1+58_7.4 59.8 59.8 59.8 FPU/g 101.8 122.7 125.1 5.1 5.1 5.1 5.1 117.1 121.1 120.6 121.2 4.8 5.0 5.0 5.0 5.0 5.0 5.0 5.0 1478.9 1434.0 1430.7 1418.1 5.0 4.9 4.9 4.9 5.0 5.0 5.0 5.1 1440.8 1458.5 1459.3 1444.9 200.1 5.0 36.4 200.1 5.1 35.4 200.1 5.1 35.2 5.1 5.0 5.0 33.9 34.5 34.2 1+58_7.4 60.1 58.3 58.3 58.3 1+4_pH 5.7 1+4_pH 5.7 1437.2 1+201_5.7 1+201_5.7 35.5 1+201_7.4 201.3 201.3 201.3 1% solution 5.7 5.1 5.1 1+201_7.4 208.8 208.8 208.8 96 1+58_pH 5.7 Dilution 59.5 59.5 59.5 1% solution 5.0 5.1 5.0 FPU/g 120.3 119.6 121.4 5.0 5.1 5.0 5.0 5.0 5.0 121.9 121.2 122.9 121.6 120.9 121.7 5.0 5.0 5.0 5.0 5.0 5.0 1453.4 1434.4 1439.4 5.01 5.01 5.01 4.99 5.05 5.08 1444.21 1424.78 1418.18 5.07 5.00 5.08 35.58 36.04 35.51 5.0 5.0 5.1 35.1 35.2 34.8 1+58_7.4 58.8 58.8 58.8 59.8 59.8 59.8 1+4_pH 5.7 1+201_5.7 200.01 200.01 200.01 1+201_7.4 204.3 204.3 204.3 97 REFERE CES: 1) Sacharification of tomato pomace for the production of biomass. Avelino A, Avelino HT, Roseiro JC, et al. Journal: Bioresource technology Vol. 61 Iss. 2 p1599162. Published 1997 2) Saccharification of Agro9Waste materials by fungal cellulases and hemicellulases. OKEKE BC, OBI SKC. Journal: Bioresource technology Vol. 51 Iss. 1 p23927 Published 1995 3) Biomass Recalcitrance: Engineering Plants and Enzymes for Biofuels Production. Himmel ME, Ding SY, Johnson DK, et al. Journal: Science Vol. 315 Iss. 5813 p8049 807 Published 2007 4) Interactions between cellulose and N9methylmorpholine9N9oxide. Zhao HB, Kwak JH, Wang Y,et al. Journal: Carbohydrate polymers Vol. 67 Iss. 1 p979103 Published 2007 5) Kinetic Modeling of Enzymatic Hydrolysis of Cellulose in Differently Pretreated Fibers From Dairy Manure Liao W, Liu Y, Wen ZY, et al. Journal: Biotechnology and bioengineering Vol. 101 Iss. 3 p4419451 Published 2008 6) Microcrystalline forms of cellulose as substrates for strains of clostridium thermocellum and cellulose formation Halliwell G, Phillips T, Halliwell N. Journal: Process biochemistry Vol. 30 Iss. 3 p2439250 Published 1995 7) Toward an Aggregated Understanding of Enzymatic Hydrolysis of Cellulose: Noncomplexed Cellulase Systems. Zhang YHP, Lynd LR. Journal: Biotechnology and bioengineering Vol. 88 Iss. 7 p7979824 Published 2004 8) Cellulases and their applications in the conversion of lingocellulose to fermentable sugars. N. Lutzen, M. Nielsen, K. Oxenboell, M. Schulein, B. Stentebjerg9Olesen. Journal: Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences Vol. 300, Iss. 1100, Industrial and Diagnostic Enzymes p2839291 Published 1983 9) The Effect of Flow Rate of Hot Compressed Water on Xylan, Lignin, and Total Mass Removal from Corn Stover. Liu CG, Wyman CE. Journal: Industrial & engineering chemistry research Vol. 42 Iss. 21 p540995416 Published 2003 10) Kinetic dynamics in heterogeneous enzymatic hydrolysis of cellulose: an overview, an experimental study and mathematical modeling. Gan Q, Allen SJ,Taylor G. Journal: Process biochemistry Vol.38 Iss. 7 p100391018 Published 2003 11) Partial flow of compressed9hot water through corn Stover to enhance hemicellulose sugar recovery and enzymatic digestibility of cellulose. Liu CG, Wyman CE. Journal: Bioresource technology Vol. 96 Iss. 18 p197891985 Published DEC 2005 98 12) Dissolution and forming of cellulose with ionic liquids. Birgit Kosan, Christoph Michels Frank Meister. Journal: Cellulose Vol.15 p59–66 Published 2008 13) Structural features affecting biomass enzymatic digestibility Li Zhu a, Jonathan P. O’Dwyer, Vincent S. Chang, Cesar B. Granda , Mark T. Holtzapple. Journal: Bioresource Technology vol. 99 p3817–3828 Published 2008 14) Cellulase Action and Synergism, Esteghlalian, A., Srivastava, V., Gilkes, N., Gregg, D., Saddler, Journal: American Chemical Society Symposium Series, vol 769, p1009111 Published 2001. 15) Enzymatic production of soluble sugars from corn husk. Y. Hang, E. Woodams Journal: Lebensm9Wiss. U.9technol. Vol. 32, p2089210 Published 1998 16) The influence of major structural features of cellulose on rate of enzymatic Hydrolysis. Fan LT., Lee YH, Beardmore DH. Journal: Biotechnology and Bioengineering. Vol. 23, p 4199424.Published 1980 17) Essential of Carbohydrate Chemistry. Robyt. Journal: Springer9Verlag New York Inc. Published: 1998 18) Kinetics of the enzymatic hydrolysis of cellulose. S. Wald, C.Wilke, H. W. Blanch Journal: Biotechnology and Bioengineering. Vol. 26, p 2219230 Published 1984 19) A model for the rate of enzymatic hydrolysis of cellulose in heterogeneous solid9liquid systems. Movagarnejad K, Sohrabi M, Kaghazchi T, et al. Journal: Biochemical engineering Vol. 4 Iss. 3 p 1979206 Published: 2000 20) Modeling intrinsic kinetics of enzymatic cellulose hydrolysis. Peri S, Karra S, Lee YY, et al. Journal: Biotechnology progress Vol. 23 Iss. 3 p 6269637 Published 2007 21) A model of enzyme adsorption and hydrolysis of microcrystalline cellulose with slow deactivation of the adsorbed enzyme. A.O Converse, R. Matsuno, M. Tanaka, M. Taniguichi. Journal: Biotechnology and Bioengineering Vol. 32, p38945 Published: 1988 22) Kinetics of enzymatic hydrolysis kinetics of steam9exploded cotton gin waste Shen JC, Agblevor FA. Journal: Chemical engineering communications Vol. 195 Issue: 9 p110791121 Published: 2008 23) Enzymatic in situ saccharification of cellulose in aqueous9ionic liquid media. N. Kamiya, Y. Matsushita, M. Hanaki, K. Nakashima, M.N. Arita, M. Goto, H. Takashi. Journal: Biotechnology Letters Vol.30: p103791040 Published: 2008 24) Hydrolysis of lignocellulosic materials for ethanol production: a review. Y. Sun, J. Cheng Journal: Bioresource Biotechnology. Vol. 83: p1911 Published 2002 99 25) Enhancement of cellulose saccharification using an ionic liquid pretreatment step. A. Dadi, S. Varanasi, C. Schall. Journal: Biotechnology and Bioengineering Vol. 95: p9049 910. Published 2006 26) Features of promising technologies for pretreatment of lignocellulosic biomass. N. Mosier, C. Wyman, B. Dale, R. Elander, Y. Lee, M. Holtzapple, M. Ladisch. Journal: Bioresource Biotechnology Vol. 96 p6739686 Published 2005 27) Effect of Alkali pretreatment on cellulase hydrolysis of wheat straw: Kinetic Study. F. Carrillo, M. Lis, X. Colom, M. Lopez9Mesas, J. Valldeperas. Journal: Process Biochemistry Vol. 40, p336093364 Published 2006 28) Pretreatment of corn stover using oxidation to enhance enzymatic digestibility. E. Varga, A. Schmidt, K. Reczey, A. Thomson. Journal: Applied Biochemistry and Biotechnology. Vol.104, p37950 Published 2003 29) Ionic liquid salt9induced inactivation and unfolding of cellulase from Trichoderma reesei. M. Turner, S. Spear, J. Huddleston, J. Holbrey, R. Rogers. Journal: Green Chemistry, Vol. 5, p4439447 Published 2003 30) Cellulose Hydrolysis. L. Fan, M. Gharpuray, Y. Lee. Journal: Springer9Verlag, Berlin. Published 1987 31) Modeling and optimization of the dilute sulfuric acid pretreatment of corn stover, popler and switchgrass. A. Estghlalian, A, Hashimoto, J. Fenske, M. Penner. Journal: Bioresource Biotechnology. Vol. 59 p1299136 Published 1997 32) Isotherms of adsorption of Cellobiohydrolase I and II from Trichoderma reesei on Microcrystalline Cellulose. J. Medve, J. Stahlberg, F. Tjerneld. Journal: Applied Biochemistry and Biotechnology. Vol. 66, p39955 Published 1997 33) Effects of various factors on the kinetics of cellulose hydrolysis by an enzyme preparation from penicillium verruculosum. Journal: Applied Biochemistry Biotechnology Vol. 31, p425 9430 Published1995 34) Use of dinitrosalicylic acid reagent for determination of reducing sugar. Journal: Analytical chemistry Vol. 31 Iss. 3, p4269428. Published 1959. 35) Kinetic and chemical studies on the isomerization of monosaccharides in N 9 methylmorpholine9N9oxide (NMMO) under Lyocell conditions I. Adorjan, J.Sjoberg, T. Rosenau, A. Hofinger, P. Kosma. Journal: Carbohydrate Research. Vol. 339 Iss. 11, p189991906 Published 2004 100 36) Ionic9liquid9Phase Hydrolysis of Pinewood. C. Sievers, M. Valenzuela9Olarte, T. Marzialetti, D. Musin, P. Agrawal, C. Jones. Journal: Industrial & Engineering Chemistry Research. Vol. 48 Iss.3, p127791286 Published 2009 37) Relationship between the inhibition constant and the concentration of inhibitor which causes 50% inhibition of an enzymatic reaction. Cheng Y., Prusoff W., Journal: Biochemical Pharmacology Vol. 22: p309993108 Published 1973 38) Breaking the Biological Barriers to Cellulosic Ethanol: A Joint Research Agenda, DOE/SC90095, U.S. Department of Energy of Science and Office of Energy and Renewable Energy (www.doegenomestolife.org/biofuels/). 39) Enhanced stability of candida antarctica lipase B in ionic liquids. S. Ha, S. Lee, D. Dang, M. Kwon, W. Chang, Y. Yu, S. Byun, Y. Koo. Journal: Korean Journal Chemical Engineering. Vol. 25, Iss. 2 p2919294 Published 2008 40) Enzyme9Catalyzed reactions in ionic liquids. Y. Moon, S. Lee, S. Ha, Y. Koo. Journal: Korean Journal of Chemical Engineering. Vol. 23, Iss. 2, p2479263. Published 2006 41) Enhanced enzymatic Hydrolysis of sugarcane bagassee by N9methymorpholine9N9Oxide pretreatment. C. Kuo, C. Lee. Journal: Bioresource Technology. Vol. 100 p 8669871 Published 2009 42) Rheology of cellulosic N9methymorpholine oxide monohydrate solutions of different degrees of polymerization. S. Petrovan, J. Collier, Negulescu. Journal: Journal of Applied Polymer Science. Vol. 79, Iss. 3, p3969405 Published 2001 43) Rheology of Lyocell solutions from different cellulose sources. B. Collier, M. Dever, J. Collier, Z. Li, X. Wei. Journal: Journal of Polymers and the Environment. Vol. 8, Iss 3, p1519154 Published 200 101 BIOGRAPHICAL SKETCH Mr Rilwan Oyetunji was born and raised in Lagos, Nigeria. He moved to the United States in May, 2002 and obtained his B.Sc in Chemical Engineering from the University of Mississippi. Prior to attending the University of Mississippi, he attended the Houston Community College, Houston TX for a year. He is currently married and he enjoys spending time with his spouse, Wumi, playing soccer and going to the gym. 102
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