G Model ARTICLE IN PRESS CATTOD-9610; No. of Pages 15 Catalysis Today xxx (2015) xxx–xxx Contents lists available at ScienceDirect Catalysis Today journal homepage: www.elsevier.com/locate/cattod Advanced characterization of immobilized enzymes as heterogeneous biocatalysts Juan M. Bolivar a , Ingrid Eisl a , Bernd Nidetzky a,b,∗ a b Institute of Biotechnology and Biochemical Engineering, Graz University of Technology, NAWI Graz, Petersgasse 12, A-8010 Graz, Austria Austrian Centre of Industrial Biotechnology, Petersgasse 14, A-8010 Graz, Austria a r t i c l e i n f o Article history: Received 5 April 2015 Received in revised form 5 May 2015 Accepted 6 May 2015 Available online xxx Keywords: Heterogeneous biocatalysis Immobilized enzymes Mesoporous solid support Imaging analysis Internal sensing Direct characterization In operando a b s t r a c t Like in chemical catalysis, there is a clear trend in biocatalysis to carry out synthetic transformations at the manufacturing scale heterogeneously catalyzed. Recycling of insoluble catalysts is simplified, and continuous reactor development thus promoted. Heterogeneous biocatalysis usually involves enzymes immobilized on mesoporous solid supports that offer a large internal surface area. Unraveling enzyme behavior under the confinement of a solid surface and its effect on the catalytic reaction in heterogeneous environment present longstanding core problems of biocatalysis with immobilized enzymes. Progress in deepening the mechanistic understanding of heterogeneous biocatalytic conversions is often restrained by severe limitations in methodology applicable to a direct characterization of solid-supported enzymes. Here we highlight recent evidence from the analysis of protein distribution on porous solid support using microscopic imaging methods with spatiotemporal resolution capability. We also show advance in the use of spectroscopic methods for the analysis of protein conformation on solid support. Methods of direct characterization of activity and stability of immobilized enzymes as heterogeneous biocatalysts are described and their important roles in promoting rational biocatalyst design as well as optimization and control of heterogeneously catalyzed processes are emphasized. © 2015 Elsevier B.V. All rights reserved. 1. Immobilized enzymes: great catalysts for chemical process development Modern chemical synthesis strives for synthetic routes that are selective, atom- and step-efficient and inherently safe. Use of enzymes as catalysts potentially enables all of these tasks to be achieved at once [1–3]. Bio-catalysis has therefore been identified, and already serves, as key enabling technology for chemical synthesis at the industrial process scale [3–6]. Like in chemical Abbreviations: AFM, atomic force microscopy; CD, circular dichroism; CLSM, confocal laser scanning microscopy; DLR, dual life-time referencing; DRIFT, diffuse reflectance infrared Fourier transform spectroscopy; FESEM, field emission scanning electron microscopy; FTIR, Fourier transformed infrared spectroscopy; IR, infrared spectroscopy; MIRS, mid-infrared spectroscopy; NIRS, near-infrared spectroscopy; NMR, nuclear magnetic resonance spectroscopy; PM-IRRAS, polarization-modulated infrared reflexion absorption spectroscopy; QCM, quartz crystal microbalance; SECM, scanning electrochemical microscopy; SIRMS, synchrotron infrared microspectroscopy; SPR, surface plasmon resonance; STEM, scanning transmission electron microscopy; TEM, transmission electron microscopy; XPS, X-ray photoelectron spectroscopy. ∗ Corresponding author at: Institute of Biotechnology and Biochemical Engineering, Graz University of Technology, NAWI Graz, Petersgasse 12, A-8010 Graz, Austria. E-mail address: [email protected] (B. Nidetzky). catalysis, there is the fundamental choice between homogeneous and heterogeneous biocatalysis [4,7–9]. Homogeneous biocatalysis involves enzymes dissolved in aqueous liquid phase. Heterogeneous biocatalysis involves enzymes in a water-insoluble (solid) form [9–11]. Clear trend to prefer heterogeneously bio-catalyzed reactions in current industrial production processes is recognized, in consequence of two main advantages. Firstly, separation and thus recycling of the catalyst are simplified when enzymes are present insoluble. Secondly, continuous biocatalytic process development is supported ideally [4,7,8]. Benefits of continuous processing for high-quality chemicals manufacturing can thus be exploited fully. Different principles of heterogeneous biocatalyst preparation have been described in almost countless varieties [9]. However, the principle most widely used by virtue of overall practical effect is immobilization of an initially soluble enzyme on a mesoporous solid support [10,12–14]. The support is usually selected to offer a high internal surface area accessible to and chemically suitable for the enzyme to become attached physically, chemically or often both [9–11,15–19]. Good choice of an immobilization requires that considerations from the various underlying disciplines, including protein chemistry and enzymology, materials and surface sciences, and reaction engineering, are all integrated adequately. Designing an http://dx.doi.org/10.1016/j.cattod.2015.05.004 0920-5861/© 2015 Elsevier B.V. All rights reserved. Please cite this article in press as: J.M. Bolivar, et al., Advanced characterization of immobilized enzymes as heterogeneous biocatalysts, Catal. Today (2015), http://dx.doi.org/10.1016/j.cattod.2015.05.004 G Model CATTOD-9610; No. of Pages 15 2 ARTICLE IN PRESS J.M. Bolivar et al. / Catalysis Today xxx (2015) xxx–xxx Fig. 1. Enzyme immobilization in porous carriers is shown. Influence of parameters related to the support, the enzyme and the mode of enzyme-on-surface deposition on observable catalytic properties. immobilization is complicated not only by the multidisciplinary nature of the problem, but also because relevant effects occur at vastly different length scales in the nanometer (molecular) to millimeter range [10,15,16,20]. Therefore, this exacerbates the selection of suitable methodology for monitoring of the immobilization process and for characterization of the final enzyme immobilizate. Preparation of immobilized enzymes for biocatalytic use needs to be practical and cost-effective. Highly demanded features of the final immobilizate are adequate loading of enzyme activity relative to the unit mass of support as well as high-enough stability of both the enzyme activity and the support under conditions of use [9–11]. Fig. 1 illustrates important parameters of the support, the enzyme and the mode of enzyme-on-surface deposition and it also shows how systematic variation of these parameters affects outcome of the immobilization regarding criteria of activity and stability. 2. Understanding the behavior of enzymes immobilized on solid support Characterization of solid-supported immobilized enzymes nearly always involves comparison to the free enzyme in terms of specific activity and stability [9,18,19]. Note: specific activity is typically expressed as a reaction rate/unit mass of the protein preparation used. Commonly used dimension is mol/(min × mg). Less often, the reaction rate is related to the moles of enzyme or enzyme active site in which case the specific activity has the dimension of a turnover frequency (1/min). The immobilizate is normally less active than the free enzyme, with a percentage of retained activity anywhere between usually 5 to around 80% [9,18,19]. There are two principal factors underlying the effect, of which one is the direct consequence of structural distortions in the enzyme resulting from attachment to the solid surface and another is indirect consequence of enzymatic reaction taking place in a heterogeneous environment [16,17,19,21] (Scheme 1a). Enzyme stability is often positively affected by the immobilization [18,19]. The stabilizing effect is dramatic in certain cases, but well-grounded mechanistic interpretations based on conclusive direct evidence are typically not available [18,19]. Unraveling enzyme behavior under the confinement of a solid surface and its effect on the catalytic reaction in porous support present longstanding core problems of biocatalysis with immobilized enzymes [16,21]. Progress in deepening the mechanistic understanding of heterogeneous biocatalytic conversions is often restrained severely by limitations in methodology applicable to a direct characterization of solid-supported enzymes [20,22]. Therefore, despite substantial efforts over decades, perfecting an enzyme immobilizate to a specific activity approaching that of the free enzyme (or another target value) remains an elusive task. Lacking direct evidence, optimization of immobilized enzymes in regard to activity and stability is mostly addressed empirically and is not well predictable in its outcome [17,17,20,21]. Fig. 2 depicts a productive cycle of characterization of immobilized enzymes that moves from initial evaluation of basic parameters to advanced direct examinations at different levels of resolution under test conditions as well as in real (in operando) studies. Note: the term in operando as herein used is distinguished from the mere in situ in implying realistic conditions of immobilized biocatalyst application. Suggestion from Fig. 2 is that running through the cycle in an iterative manner would constitute a paradigmatic approach of systematic development and optimization of immobilized enzymes. This review describes where we stand in the efforts to close the development cycle for heterogeneous biocatalysts. Opportunities from an emerging set of imaging methods with spatiotemporal resolution capabilities are emphasized and research needs to overcome current limitations are identified. An optimal design of heterogeneous biocatalysts would be built on evidence from advanced characterization of biocatalysts (Scheme 1b), which ideally provided a comprehensive and detailed understanding of the relationship between reaction kinetics and structural features of the catalyst elucidated at the relevant length scale. 3. Enzyme loading in high capacity and high quality for immobilized biocatalyst preparation For practical and economic use, heterogeneous biocatalysts are required to exhibit a specific activity that is as high as possible. Unlike specific activity of the enzyme as soluble or immobilized preparation (see above), the specific activity of the heterogeneous biocatalyst is normally related to the unit mass of solid support and its dimension therefore is mol/(min × gsupport ). In the first instance, the specific activity is determined by the quantity of enzyme mass that can be loaded onto the support and maximizing this amount presents a clear strategy for catalyst optimization [4,9,23]. The internal surface area of the immobilization support accessible to the enzyme via pores of suitable geometry is evidently of high importance [10,11]. The interaction between enzyme and solid surface is another key parameter [9,17,19]. It provides a lot of room for optimization regarding protein-binding capacity through molecular engineering of the enzyme, the surface or both. Balance between surface hydrophilicity and hydrophobicity, surface charge, functional/reactive surface group density and distribution are all critical aspects in the selection of a suitable support [10,15,17]. The presence of covalent attachment sites on the surface is another significant feature to be considered. Covalent coupling is usually not a main factor of the protein binding capacity but it ensures the protein attachment to become quasi-permanent. Instead of modifying the support, targeted modification of the surface of the enzyme presents a fully complementary possibility of Please cite this article in press as: J.M. Bolivar, et al., Advanced characterization of immobilized enzymes as heterogeneous biocatalysts, Catal. Today (2015), http://dx.doi.org/10.1016/j.cattod.2015.05.004 G Model CATTOD-9610; No. of Pages 15 ARTICLE IN PRESS J.M. Bolivar et al. / Catalysis Today xxx (2015) xxx–xxx 3 Scheme 1. Conventional and advanced characterization of heterogeneous biocatalysts are compared. Observable specific activity of heterogeneous biocatalysts depends on different features that overlap in the information provided by observable parameters. Advanced characterization provides tools to dissect the individual critical parameters governing catalyst performance. Fig. 2. Standard and advanced methodologies of characterization of immobilized enzymes are shown. Conventional catalyst characterization would be ideally supported by structural characterization and in-operando measurements. increasing protein binding capacity [24–26]. Chemical conjugation of the enzyme with small molecules or polymers can be used for that purpose but chemo- and site-selectivity in the derivatization of amino acid residues on the protein’s surface can be a problem [26]. Inactivation of the enzyme to a substantial degree is often an undesirable consequence of chemical conjugation. Substitution of one or more surface-exposed amino acids by alternative amino acids can be achieved using protein “mutagenesis”. However, redesign of the protein surface to create alternative programmable patterns of positive/negative charge or hydrophilic/hydrophobic groups is not an easy task due to often unpredictable effects of the substitutions on the overall protein folding, hence on activity and stability [24]. Use of modules in the form of surface group-binding peptides or small protein domains that can be flexibly appended to the Nor C-terminus of the enzyme presents an alternative that is often preferred due to broad applicability and attenuated interference with the enzyme’s native conformation [24,25]. As a rough guide for practical immobilization, minimally several tens of milligrams of enzymes should be loaded on each gram of dry matter support. Loadings of several hundred milligrams have been achieved in certain cases however. The specific activity of a heterogeneous biocatalyst is determined as the product of two factors: the enzyme amount loaded (quantity) and the intrinsic specific activity of the bound enzyme (quality). We use intrinsic here to indicate the absence of effects of the heterogeneous environment on the observable enzymatic reaction rate. The possibility of development of concentration gradients inside the porous support and the consequent impact on enzyme behavior need to be kept in mind however [10,15,19,27]. Effective concentrations inside the support, including that of the proton, can be dramatically different from the corresponding concentrations in bulk [27–29] (Scheme 1a). Enzyme catalysis is potentially affected by the internal environment in various ways as will be discussed later. Loss of intrinsic enzyme activity in consequence of the Please cite this article in press as: J.M. Bolivar, et al., Advanced characterization of immobilized enzymes as heterogeneous biocatalysts, Catal. Today (2015), http://dx.doi.org/10.1016/j.cattod.2015.05.004 G Model CATTOD-9610; No. of Pages 15 4 ARTICLE IN PRESS J.M. Bolivar et al. / Catalysis Today xxx (2015) xxx–xxx immobilization is caused by reversibly or irreversibly disruptive effects on the protein’s native structure [21]. Unproductive binding of the enzyme in false orientation or in a too rigid conformation (such that the catalytic cycle is no longer run through efficiently) also leads to a decrease in intrinsic activity. Controlling the enzyme’s orientation on the solid surface through the exploitation of specific binding interactions is a promising strategy to optimize immobilizations for highest possible enzyme quality [17,18,24,30]. Biological affinity might seem an obvious choice in an effort of creating specifity of binding. However, other types of also highly specific, pseudo-affinity interactions are often preferably used for reason of overall practical effect [24,30]. Binding to immobilized (chelated) metal ions or ionic adsorption to negatively charged surfaces are interesting examples. Conventional characterization of heterogeneous biocatalysts involves determination of the enzyme loading, that is, the protein and activity amounts loaded onto the solid surface, typically from an end-point balance with the liquid phase once the binding has reached an apparent equilibrium [9,16,20,23]. The specific activity of the biocatalyst thus obtained is also determined. However, many effects are convoluted in this specific activity and the lumped nature of the observable parameter complicates targeted optimization. Advanced characterization of heterogeneous biocatalyst strives for systematic deconvolution of the experimentally determined specific activity into its underlying factors, as summarized in Scheme 1b. The productive cycle of characterization would therefore involve a direct quantification of the enzyme loading, ideally in real time. It would allow for protein imaging in solid materials, and it would also provide insights into the structure of the immobilized enzymes (Fig. 2). Table 1 shows a set of emerging techniques that are applied to a direct quantification of the protein amount attached to the solid phase [20–22,31–41]. Measurements from within solid material are increasingly used and they complement the traditionally used measurements from the liquid phase. However, the information obtained is mostly qualitative. Typical application is investigation of protein loading limits of carriers. Active-site titration is a useful procedure to determine the amount of accessible enzyme active sites that were immobilized. Well-known problems, however, are that convenient procedures of active titration have been developed only for limited subset of enzyme classes and that the relationship between the number of active sites as titrated and the actual specific activity of the immobilized enzyme is not really clear [15,20,42,43]. Reasons to favor the indirect measurements from solution are practicability and simplicity. Irrespective of whether the loading onto the solid support is determined directly or indirectly, the evidence obtainable from these measurements is necessarily incomplete in characterizing the immobilization process fully. Important problems and complexities recurring often in the development of immobilized enzymes are the following. There is a complex (nonlinear) relationship between the enzyme loading and the specific activity of the heterogeneous biocatalyst [16,19,21]. The maximum amount of enzyme loaded and the time needed for maximum loading vary strongly across varying immobilization conditions and they do so in an often difficult to rationalize manner [9,10]. Also, compared at equivalent effective loading, the behavior of heterogeneous biocatalysts in conversion studies can vary strongly in dependence on the immobilization parameters used, and it is often not clear why [10,20]. Improved understanding of the factors at play will require direct evidence featuring adequate resolution not only in space but also in time. The dynamics of immobilization processes has previously not always received the attention deserved [44–49]. Fig. 3 shows that inhomogeneous (heterogeneous) distribution of enzymes in porous supports could cause effects in conventional characterizations of solid biocatalysts that might easily be misinterpreted. In panel a, for example, it is shown the dependence of the immobilization yield, that is, the percentage of the initially applied enzyme protein or activity that was bound to the support, on the enzyme amount loaded. Leveling out of the curve to reach a constant value at high loadings could be taken to indicate saturation of the support. Under conditions of inhomogeneous enzyme distribution, however, effects such as enzyme aggregation and pore clogging could produce highly similar dependencies of the observable parameter despite the fact that the surface of the support is not at all saturated. Protein crowding on the surface and inhomogeneous intra-support distribution of the enzyme might affect the overall activity and thus the reaction kinetics [21,49]. Interplay between physical diffusion and enzymatic reaction is affected by heterogeneity of the enzyme distribution inside porous support [49,50]. Time courses of conversion can therefore be markedly different for situations of homogeneous and inhomogeneous surface coverage with bound enzyme, as shown in Fig. 3a. 4. Direct visualization of protein distribution in solid-supported biocatalysts Table 1 summarizes the analytical methods for measurement of the distribution of bound proteins on surfaces and more specifically inside porous supports [22,31–36,51–58]. Level of application, strengths and limitations are pointed out. Minimally invasive procedures are preferred, and methods can also be distinguished according to the spatial resolution they provide. Fluorescence microscopy is most widely used (Table 2). Intrinsic protein fluorescence due to tryptophan residues can be applied for detection, with the caveat that the fluorescence emission is usually not very stable [21]. When present in the enzyme studied, cofactors such as FAD and FMN present useful fluorescent reporter groups [59]. Labeling through normally covalent attachment of fluorescent groups is a general approach that is convenient and also widely used [50]. Choices of the fluorescent label and the conjugation chemistry involved, however, must be made with some caution and also the stage of the immobilization process at which the labeling is carried out needs to be given thought. Generally, labeling in a post-immobilization step appears to be advantageous. Possible effect of labeling on enzyme activity needs to be considered however [21,22]. Early efforts of protein imaging analysis used laborious microtome sectioning of the solid supports [60,61]. Layers thus prepared were then analyzed microscopically. Confocal laser scanning microscopy (CLSM) has significantly advanced the analysis of proteins in intact porous supports (Table 2) and researchers in protein chromatography were forerunners in this respect [62–70]. CLSM offers spatial resolution at a length scale well suitable for the characterization of enzyme immobilizates and it is conveniently used even by nonspecialists. However, poorly transparent (“opaque”) supports present a problem. Soaking the support with liquid of comparable refractive index is a possible solution to enable direct measurements also in such cases [12,62,63]. Evidence from CLSM studies on the interaction of proteins with chromatographic supports can be translated almost directly to enzyme immobilization [50,62,71–83]. Relationships between the dynamics of protein adsorption and the external and internal geometrical features of the support were established [84–86]. They provide a useful basis supporting process optimization and control that can be applied in related fields, including enzyme immobilization (Table 2) [49,72,84–86]. It was shown, for example, that in addition to choice of adequate support (e.g. material, internal architecture), controlling the rate of enzyme adsorption was also important when considering homogeneous distribution of bound enzymes in porous supports [87–89]. Moreover, the degree of reversibility of the adsorption also affected the final distribution of enzyme within Please cite this article in press as: J.M. Bolivar, et al., Advanced characterization of immobilized enzymes as heterogeneous biocatalysts, Catal. Today (2015), http://dx.doi.org/10.1016/j.cattod.2015.05.004 G Model CATTOD-9610; No. of Pages 15 ARTICLE IN PRESS J.M. Bolivar et al. / Catalysis Today xxx (2015) xxx–xxx 5 Table 1 Structural studies of immobilized biocatalysts. Application Method Carrier Information gained Application Comments Ref. Assessment of immobilization Quartz crystal microbalance Modified quartz crystal surfaces Protein incorporation at nanogram level Set-up is highly specific [20,22] N2 absorption Porous carriers Assessment of protein incorporation Challenges with low protein loading [22] Thermogravimetric analysis Diverse carriers Mass incorporated into solid carrier Low, due to material restrictions. Quantitative information Indirect character. Quantitative information Indirect character. Quantitative information [22] Zeta potential Colloidal suspensions, charged surfaces Indirect character. Qualitative information UV-spectroscopy Non-opaque carriers Indirect character. Qualitative information Challenges with low protein loading [41] AFM Non-porous carriers Modification of electrostatic properties of enzyme carriers Modification of adsorption spectra due to protein incorporation Quantitative assessment of surface coverage and protein distribution Challenges with low protein loading, wide potential application Invasive sample preparation Direct character. Spatial resolution. [21,22,31–36] Infrared spectroscopy Diverse carriers Limited to non-porous materials or need of invasive sample preparation Challenges with low protein loading CLSM Diverse carriers See Table 2 Low-temperature field-emission scanning electron microscopy (Cryo-FESEM) Light microscopy Fluorescence labeling needed. Corrections for (partially) opaque carriers needed Comparative results to CLSM Catalyst distribution imaging Structural elucidation of immobilized enzymes Chemical surface modification due to protein incorporation Protein distribution visualization Indirect character. Qualitative information Diverse carriers Protein distribution visualization and internal morphology of material Low Diverse carriers Protein distribution Generally applicable TEM Inorganic carriers Raman spectroscopy Diverse carriers Spherical aberration (Cs)-corrected STEM Inorganic porous carriers Localization of protein incorporation Alteration of Raman spectra Protein distribution visualization, localization at molecular level Applied in silica-based carriers Increasing use, qualitative assessment Low (new technique) Infrared spectroscopy Diverse carriers Secondary structure elucidation Widely used CD Diverse carriers Widely used Raman Diverse carriers Secondary structure elucidation Secondary structure elucidation the support [46,90]. It was also shown that degree of homogeneity of enzyme adsorption had a decisive influence on the specific activity of the heterogeneous biocatalyst [87,88] (Table 2). Up to now, distribution analysis in solid supports was mainly done for populations of the same enzyme. However, with the advent of more complex catalytic systems, where two or more types of enzymes are combined to promote synthetic cascades, the precise localization and spatial distribution of the individual enzyme types within the porous support become even more important [87,89]. Ability to achieve controllable protein patterns within the support is highly desirable [89]. The same notion applies to immobilized chemo-enzymatic systems where a chemical catalyst and an enzyme are made to perform together. Direct visualization, widely used Increasing use, difficult for certain carriers Need of particles sectioning and protein labeling Dried samples needed High background for organic carriers STEM combined with high angle annular dark field detector and electron energy loss spectroscopy Difficult for certain carriers. Sample preparation (drying) needed Difficult for certain carriers High background for organic carriers [22] [37–41] [52,53] [54] [55] [55,56] [57,58] See Table 3 See Table 3 See Table 3 5. Analysis of protein conformation in heterogeneous biocatalysts The underlying notion is that the lowered intrinsic specific activity of an immobilized enzyme preparation compared to the corresponding soluble enzyme reflects conformational changes in consequence of the attachment of the enzyme onto the solid support [17–19] (Fig. 2b). Methods capable of revealing the conformation of proteins in solution and on solid surface would therefore be required to test and eventually establish correlations between the degree of conformational distortion and the residual specific activity of the immobilized enzyme. In a similar manner, stability of immobilized enzymes could be analyzed where the degree of Please cite this article in press as: J.M. Bolivar, et al., Advanced characterization of immobilized enzymes as heterogeneous biocatalysts, Catal. Today (2015), http://dx.doi.org/10.1016/j.cattod.2015.05.004 G Model CATTOD-9610; No. of Pages 15 ARTICLE IN PRESS J.M. Bolivar et al. / Catalysis Today xxx (2015) xxx–xxx 6 Table 2 Fluorescence microscopic techniques for protein visualization in solid carriers. Method Protein and carrier system Information gained Application Ref. Fluorescence microscopy Microtome-sectioned CNBr-activated Sepharose 6B containing leucine aminopeptidase Diverse enzyme-carrier pairs Homogeneous protein distribution Biocatalysis application. Fluorescence labeling needed [60] Protein distribution visualization via the spatial resolution from integral measured signal Biocatalysis application. Micro-fluorometry enabled the visualization without previous processing of the carrier Chromatography application. Fluorescent-labeled Protein A was used as an indirect measure of the distribution of IgG Chromatography application. Fluorescent-labeled Protein A was used [61] Chromatography application. Fluorescent-labeled proteins were used. Agreement between model based on indirect measurements and direct measurements was found Chromatography application. How the diffusional control affects the adsorption of multi-component systems has been studied Chromatography application. Light scattering and absorption has an effect in the interpretation of protein profiles Chromatography application. Methodological considerations to assess the influence of light scattering and absorption Chromatography application. The radial distribution of the protein concentrations was predicted using transport models Chromatography application. Decrease in diffusivity and increase of hindered adsorption is studied depending on carrier geometrical features Chromatography application [86] Chromatography application. Heterogeneous or homogeneous adsorption dependent on pore size Biocatalysis application. Contrast matching was necessary to overcome opaque particles Biocatalysis application. Increased catalytic effectiveness was observed with heterogeneous distributions Biocatalyst characterization [70] Biocatalyst characterization [73] Biocatalyst characterization [74] Biocatalyst characterization. Biocatalyst optimization [76] Biocatalyst characterization [77] Biocatalyst characterization [78] Biocatalyst characterization [79] Biocatalyst characterization [82] Biocatalyst characterization [80] Fluorescence tomography CLSM IgG antibodies immobilized on CNBr-activated agarose beads Homogeneous ligand distribution at increasing loading Protein A adsorbed onto IgG Sepharose 6 Fast Flow Lysozyme and human IgG adsorbed on SP Sepharose Fast Flow and SP Sepharose XL At low sample amounts, Protein A had been adsorbed to a thin outer layer. Preferential immobilization on outer layer of beads at low protein loading. Human IgG and bovine serum albumin (BSA) adsorbed on two different exchange adsorbents Direct observation of a two component diffusion process within an adsorbent support BSA adsorbed on SP Sepharose FF Need of image processing to compensate the use of partially opaque carriers Need or image processing to compensate the use of partially opaque carriers Egg white albumin (EWA) encapsulated in alginate beads BSA adsorbed on a cation exchanger, SP Sepharose FF Diffusion model validation for uptake rate Lysozyme, BSA and IgG adsorbed on an agarose gel Hindered diffusion of the protein adsorption. Model validation for protein adsorption Different proteins adsorbed on Sepharose 6 FF Identification of hindered protein diffusion. Calculation of intraparticle diffusion coefficient Determination of the minimum pore size required for efficient intraparticle adsorption Homogeneous protein distribution BSA adsorbed onto nanopore silica particles Trypsin on porous glycidyl methacrylate (GMA–GDMA) -Galactosidase on silica–alumina mesoporous particles Glucose oxidase (GOx) encapsulated in alginate microspheres Lipases encapsulated in sol–gel silica Sterol esterase on polyacrylate-based epoxy-activated carriers Penicillin acylase immobilized onto epoxy-activated Sepabeads ECEP303 Amidohydrolase immobilized onto Sepabeads EC-EP5 Fructosyltransferase encapsulated in dried alginate Lipase immobilized into macroporous poly(methyl methacrylate) (PMM) and polystyrene (PS) carriers Lipase encapsulated into mesoporous silica Lipase and trypsin coencapsulated into mesoporous silica Homogeneous or heterogeneous distributions depending on carrier particle size Verification of uniform distribution Homogenous incorporation in amorphous sol–gel Heterogeneous immobilization of enzyme with preferential binding to outer shells Homogeneous distribution of the enzyme on the support surface avoiding the attachment of enzyme aggregates Homogeneous distribution was obtained Enzymes accumulated preferably in the shell of the particles Localization of enzymes in an outer rim of 50 – 85 and 10 – 20 m thickness for the PMM and PS catalysts Homogeneous enzyme incorporation Enzymes uniformly dispersed throughout the particles because of the successful incorporation of the two enzymes [84] [85] [64] [63,65] [67] [35] [68] [69] [71] [72] [39] Please cite this article in press as: J.M. Bolivar, et al., Advanced characterization of immobilized enzymes as heterogeneous biocatalysts, Catal. Today (2015), http://dx.doi.org/10.1016/j.cattod.2015.05.004 G Model CATTOD-9610; No. of Pages 15 ARTICLE IN PRESS J.M. Bolivar et al. / Catalysis Today xxx (2015) xxx–xxx 7 Table 2 (Continued) Method Protein and carrier system Information gained Application Ref. Glutaminase encapsulated in mesoporous silica Cross-linked enzyme aggregates (CLEAs and CLEAs entrapped in polyvinyl alcohol lenses (lentikats) Lipase immobilized in mesoporous silica Homogeneous encapsulation of the enzyme Localization and quantification of CLEAs entrapped in lentikats Biocatalyst characterization [81] Biocatalyst characterization [75] Pore size dependent. PPL diffusion and protein distribution [83] Fluorescent proteins (His-GFP and His-mCherryFP) immobilized on different 4% crosslinked agarose-type by different methods IgG immobilized into heterofunctional metal chelate-glyoxyl supports (Ag–Me2+ /G) Modulation of the distribution within porous matrices by smart-control of the immobilization rate Biocatalyst optimization. Small pores lead to a hindered protein penetration, an optimal higher pore size is found given a uniform distribution and highest loading capacity Biocatalysis optimization. Different co-immobilization patterns were generated Chromatography optimization. The binding activity of this bioconjugate was optimized by controlling the antibody distribution throughout the bead’s surface in order to avoid high antibody densities and therefore a low binding activity Biocatalyst optimization. A spatial distribution was obtained, thereby resulting in different biocatalysts with different properties. Homogeneous distribution of both enzymes over the porous surface of the same carrier seemed to be optimal for the redox cofactor regeneration during the biotransformation Biocatalyst characterization. Migration of reversibly immobilized protein was proved [88] Modulation of the distribution within porous matrixes by control of immobilization rate Different redox enzymes onto agarose beads Modulation of the colocalization within porous matrices by control of immobilization rate Lipase immobilized in agarose beads Dynamic protein distribution inside the porous beads that evolves from heterogeneous to homogeneous along the postimmobilization time stability enhancement might be related to detectable and ideally also quantifiable conformational distortions in the immobilized enzyme [19,21,91]. Problem is that only few of the various spectroscopic techniques applied routinely to the study [87] [89] [90] of protein conformations in solution are suitable for analysis of proteins on surface, especially that of a porous solid support. A summary of methods and their limitations can be found in Table 1. Common difficulties are: complicated sample Fig. 3. Structural studies of immobilized enzymes as heterogeneous biocatalysts are shown. Protein visualization in solid materials and structural elucidation of surface-bound enzymes provides critical information to succeed in enzyme immobilization in high quantity and quality. Please cite this article in press as: J.M. Bolivar, et al., Advanced characterization of immobilized enzymes as heterogeneous biocatalysts, Catal. Today (2015), http://dx.doi.org/10.1016/j.cattod.2015.05.004 G Model CATTOD-9610; No. of Pages 15 8 ARTICLE IN PRESS J.M. Bolivar et al. / Catalysis Today xxx (2015) xxx–xxx preparation (e.g. drying) involving a high risk of protein denaturation, strong interference from solid material and insufficient sensitivity and resolution to detect small conformational changes. The most widely used method is Fourier transformed infrared spectroscopy (FTIR) [92,93]. Changes in the protein’s relative composition in secondary structure and also in the tertiary fold on immobilization can be monitored using FTIR, as shown in Table 3. Protein surface interactions, hydrogen bond formations and other bond parameters are detectable by FTIR too [21,93–95]. FTIR studies of different enzymes revealed retention of secondary structural composition in the immobilizate. Several lipases, the protease pepsin, glucose oxidase, horseradish peroxidase and RNase were examined covalently or noncovalently bound to surfaces of metals (e.g. gold), organic and inorganic polymeric materials [31,41,96–102]. The overall protein conformation and the orientation of the protein on the surface were also elucidated by FTIR, however, only for nonporous supports [22,38,40,102,103]. Use of gold surface is highly beneficial for optimizing the spectral resolution due to low background signals of the gold. However, unless the real immobilization can be mimicked on gold, the problem is that gold is a highly uncommon and usually by far too expensive support material for practical use of immobilized enzymes in biocatalysis [96,102]. With other words, more convenient materials (e.g. mesoporous silica, porous polymer beads) using FTIR, the interference with the measurement is unfortunately quite significant [22,38,41,94,104–107]. Circular dichroism (CD) and Raman spectroscopies serve as common alternatives or complements of FTIR spectroscopy in the characterization of enzyme immobilizates [21,22,108]. Both methods are capable of revealing protein secondary structural content and are sensitive to spectral contributions of amino acid side chains, hence to the protein conformation overall. Being a noninvasive and conveniently applied technique, CD was often used to analyze enzyme immobilizates, however, with the severe limitation that colloidal particles or transparent material surfaces were required [21,22,94,108–110] (Table 3). A relatively large number of enzyme immobilizates obtained with different methods have been analyzed using CD [21,22,94,108,111–114]. Alterations in protein secondary structure after immobilization were noted [21,22,94,108,112,115–118], and efforts were made with limited success to relate these to changes in enzyme activity [108] and stability [94,116]. Like FTIR, Raman spectroscopy is in principle well suitable for the analysis of proteins in solid samples, be it that dried proteins or frozen protein solution are investigated [21,108,119–121] (Table 3). Background signals in solid-supported enzyme preparations can be unexpectedly high however [122]. Raman spectra are well resolved and signal quality is high when metal nanoparticles of 10–100 nm size fabricated from colloidal silver or gold are used [123–125]. The application of Raman spectroscopy to the characterization of immobilized proteins is increasing [37,120,125–129]. Loss of secondary protein structure on immobilization was analyzed [120,129]. Orientation of enzymes on solid surface was determined and attachment via covalent bonds was also elucidated [130]. Method compatibility with a variety of solid supports (e.g. organic polymers) and the requirement to use high protein loading are severe drawbacks. New techniques like TOF-secondary ion mass spectrometry [20,101,108,131], solid-state NMR [21,73,132–135], Foster resonance energy transfer (FRET) measurements [136] and Trp/Tyr fluorescence measurements [137,138] are gaining momentum, and exciting developments are expected in upcoming research. The direct characterization of the conformational properties of immobilized enzymes needs to be advanced through further method development. 6. Advanced direct characterization of the performance of immobilized biocatalysts Assuming that both substrate conversion and space–time yield will constitute fixed target parameters of a biocatalytic process operated in apparatus of given size, the relevant question in reaction engineering therefore is how much enzyme must be supplied to the reactor in order to fulfill the processing objectives [4,20,23]. Activity and also stability of the immobilized enzyme under operational conditions will thus determine the loading of heterogeneous biocatalyst required. Theory of the coupled reaction and diffusion in solid-supported immobilized enzymes is well developed. The catalytic effectiveness factor is the activity ratio of the immobilized enzyme compared to the corresponding soluble enzyme [4,20,23]. Lowering of the experimental effectiveness factor below a value of unity as result of effects of external film diffusion and internal pore diffusion is usually explained by considering the dimensionless Damköhler number and the also dimensionless Thiele modulus, respectively [4,139] (Scheme 1b). Problem of the approach is that model validation and parameter estimation are usually done exclusively on the basis of indirect evidence, that is, measurements from the liquid phase. Moreover, stability of the enzyme or the biocatalyst as a whole presents another issue that may be related to but can also be completely distinct from reaction and diffusion. Again, stability parameters are usually inferred indirectly from measurement of the progress of the reaction in the liquid phase, more specifically, from the lack of agreement between the expected (modeled) reaction time course and the time course measured. However, as was already mentioned, stability is only one of many possible effects that influence the progress of the reaction. Therefore, direct evidence from advanced characterization of heterogeneous biocatalysts in in-operando studies (Figs. 2 and 4) would be extremely helpful to enable clear assignment of cause to effect in biocatalytic process development with immobilized enzymes (Scheme 1b). Two levels of spatial resolution are considered here in the course of process characterization (Tables 4 and 5). First of all, macroscopic stability studies look at mechanical disintegration of the porous support, for example, under agitation and stirring. Detachment of enzymes from the solid surface either as a consequence of the disintegration or occurring separately from it is also monitored. Secondly, knowledge about the heterogeneous environment in which enzymes work is the key. Concentration gradients may develop inside the porous supports and thus result in conditions very much different from those in the liquid phase. Activity and stability parameters of the enzyme but also thermodynamic parameters of the reaction may be affected. Local sensing within the solid support provides relevant evidence. Finally, local inhomogeneities at the reactor-scale level must also be considered and recent developments in in situ sensing methods are described. 6.1. In-operando studies of macroscopic stability Mechanical stability of porous supports was traditionally determined through visual or microscopic analysis of samples taken from the reactor. To perform the same analysis in operando and also continuously, fluorescence and microscopy methods were developed for application directly in the reactor with minimum perturbation of the ongoing reaction. Table 4 summarizes these developments [82,129,140]. Interfacing the analytical devices with the reactor presents a challenge. Immersion probes in combination with fiber-optic technology are used to record fluorescence data. Microscopic evidence is collected through observation windows implemented in the reactor. Please cite this article in press as: J.M. Bolivar, et al., Advanced characterization of immobilized enzymes as heterogeneous biocatalysts, Catal. Today (2015), http://dx.doi.org/10.1016/j.cattod.2015.05.004 G Model ARTICLE IN PRESS CATTOD-9610; No. of Pages 15 J.M. Bolivar et al. / Catalysis Today xxx (2015) xxx–xxx 9 Table 3 Enzyme carriers and carrier used in the elucidation of immobilized protein structure in immobilized enzymes. Method Enzyme Carrier used Comments Ref. CD Cytochrome C and myoglobin Hen egg white lysozyme Mesoporous silicas Fused silica glass, high-density polyethylene and poly(methyl-methacrylate) Mesoporous silica (folded-sheet mesoporous material) Functional mesoporous silica supports Amine-functionalized mesoporous nanoparticle Silica gel (230–400 mesh) Lewatit VP.OC 1600 (Novozyme435) Secondary structure elucidation Secondary structure conservation [113] [108] Secondary structure conservation [114] Secondary structure alteration Secondary structure alteration [22,115] [116] Secondary structure conservation No secondary structure info; tertiary structure elucidation Secondary structure elucidation Secondary structure alteration Secondary structure elucidation Secondary structure alteration [94] [94] Secondary structure conservation [112] Hemoglobin Organophosphorus hydrolase Beta-lactoglobulin Subtilisin Lipase BSA Subtilisin ␣-Chymotrypsin Alcohol dehydrogenase Lipase Penicillin G acylase Raman spectroscopy Monoclonal antibody Laccase FTIR DRIFT ATR-FTIR PM-IRRAS Synchrotron infrared microspectroscopy (SIRMS) Trp/Tyr fluorescence CytC Myoglobin, CytC and P450 Tyrosinase Lipase Lysozyme Pepsin BSA, bovine -lactoglobulin and bovine pancreatic ribonuclease A Subtilisin Lipase Lysozyme Lipase Lipase Lysozyme, myoglobin Channelrhodopsin Peptide cecropin P1 Glucose oxidase Glucose oxidase Peroxidase Nickel–iron hydrogenase Lipase Nitrate reductase Lipase Polystyrene particles Mesoporous silica Methyl methacrylate polymer Silica particles of different types and size Amino functionalized multi-walled carbon nanotubes Silica nanoparticles functionalized with glutardialdehyde Fractogel EMD SO3 (M) cation exchanger Self-assembled monolayers of thiols on Ag and Au surfaces Gold and silver nanostructures Ag electrodes Poly(indole-5-carboxylic acid) Carbon nanotubes Nanoporous gels Colloidal gold particles Spherical polyelectrolyte brushes (SPB) = narrowly distributed poly(styrene) core particles onto which linear chains of anionic polyelectrolytes are grafted Silica gel Lewatit VP.OC 1600 (Novozyme 435) Mesoporous silica SBA-15 Chitosan-based carriers Mesoporous organosilicas (PMOs) Mesoporous silica SBA-15 Gold surface Polystyrene (PS) surface, polystyrene-maleimide(PS-MA) surface Functionalized mesoporous silica Sol–gel Activated gold surfaces Graphite electrodes Macroporous polymer matrix (poly(methyl methacrylate)); Novozyme 435 Different agarose based carriers Cyanogen Bromide 4B Sepharose 6.2. In-operando reaction monitoring and enzyme activity determination Just like in other fields of biotechnology (and chemical technology), observing the reaction progress through direct in situ measurements of substrate, product or both inside the reactor offers the general advantage of improved process monitoring and control [141–148]. In-operando applications require the use of transparent windows, optical fibers or immersed probes. Specific problem of immobilized enzymes is that the relatively large particles used as porous support are not always compatible with the analytical probes used and often disturb the measurements. Porous [21] [21,117] [21] [21,118] Secondary structure characterization Secondary structure elucidation [120,129] Secondary structure elucidation [122] Secondary structure elucidation Secondary structure elucidation Secondary structure elucidation Secondary structure conservation Secondary structure elucidation Secondary structure conservation Secondary structure elucidation [124] [125,127] [128] [112] [103] [96] [98] Secondary structure conservation Secondary structure conservation Secondary structure elucidation Secondary structure conservation Structure alteration Secondary structure alteration Secondary structure elucidation Secondary structure elucidation [94] [94] [22,104] [41] [105] [106] [40] [38] Secondary structure conservation Secondary structure elucidation Alteration or conservation of secondary structure Secondary structure elucidation Secondary structure elucidation [107] [99,100] [101] Structural rearrangement after immobilization Structural rearrangement via immobilization and chemical modification [137] [31] [97] [138] particles also result in greater spatial inhomogeneities than is normal in a bioreactor containing suspended cells. Implementation of bypass streams facilitates measurements but requires certain adaptations to the enzyme reactor [145]. Table 4 summarizes recent developments in the field and provides an overview of the methods used [149–154]. IR spectroscopy is often used [155,156] and Raman spectroscopy has also received growing attention recently [157]. In both cases, a fiber-optic probe is placed directly into the reactor, for example, a stirred tank. Enzyme activity can sometimes be inferred indirectly from in situ measurements of substrate consumption or product formation. Indeed, most of the applications are still limited to kinetic analysis rather than true in-operando characterization. Please cite this article in press as: J.M. Bolivar, et al., Advanced characterization of immobilized enzymes as heterogeneous biocatalysts, Catal. Today (2015), http://dx.doi.org/10.1016/j.cattod.2015.05.004 G Model CATTOD-9610; No. of Pages 15 ARTICLE IN PRESS J.M. Bolivar et al. / Catalysis Today xxx (2015) xxx–xxx 10 Fig. 4. In-operando studies of immobilized biocatalysts are shown. Internal sensing is usually performed to reveal local catalytic environment determining catalytic activity. Ideally, structural studies would provide information about catalyst stability in real time. Different forms of IR spectroscopy were used to measure product release rates in immobilized enzyme systems. Data were used to calculate the enzyme activity [158–165]. However, it was necessary that the reaction medium containing the solid biocatalyst was by-passed in a flow-through sensor or placed in a spectrophotometer cell. As such, these measurements constituted neither in situ nor in-operando characterization. 6.3. In-operando internal sensing in heterogeneous biocatalysts The heterogeneous environment of an enzyme immobilized in porous solid support is likely to be different from the environment of the surrounding bulk phase (Scheme 1b, Fig. 4). Differences in conditions inside and outside of the support are consequences of coupled reaction and external/internal diffusion in heterogeneous biocatalysts. At steady state, knowledge about the magnitude of these differences is important to explain the observable effectiveness factor of the immobilized enzyme which in turn affects the overall volumetric reaction rate. Dynamic response of the heterogeneous environment to changes in the bulk phase is also of interest [4,10,23,139]. External diffusion can be controlled by the fluid dynamics at the reactor level [23,27,139]. By contrast, internal diffusion effects are often pronounced and cannot be readily controlled by an external variable since they depend on structural, hence internal features of the support [10,12]. Progress in methods of sensing directly within solid support enables the biocatalyst’s internal environment to be analyzed quantitatively and in real time. Diverse analytical principles have Table 4 In-operando studies of immobilized biocatalysts I. Application Method and equipment System Application and information gained Comments Ref. Macro-stability studies In situ microscopy Mesoporous carriers Mechanical stability under stirring conditions [140] Raman spectroscopy Mesoporous carriers Fluorescence microscopy Mesoporous carriers Enzyme leaching was monitored [82] Infrared spectroscopy Free enzyme Stability of attachment in stagnant suspension of particles Stability of attachment of lipases in continuous flow reactors Activity measurement Influence of stirring conditions on the velocity of particles degradation was studied Enzyme leaching was monitored [158–160,162,163] Infrared spectroscopy Free enzyme Kinetic analysis in IR spectrophotometer Reaction media was placed in a spectrophotometer cell Infrared spectroscopy Whole cell suspensions Mid- IR spectroscopy using an immersion probe [156] Infrared spectroscopy Immobilized enzyme Mid-IR spectroscopy [164,165] Raman spectroscopy Wide range of carriers Immersed probes were used [157] In situ reaction rates measurements Reaction monitoring of synthesis and hydrolysis reactions catalyzed by an amidase Acetonitrile was biotransformed to acetamide by a nitrile hydratase enzyme and subsequently to acetic acid (carboxylate ion) by an amidase Kinetic analysis in a flow cell using a flow through sensor Global reaction rates of stirred suspension of immobilized enzymes [129] [155] Please cite this article in press as: J.M. Bolivar, et al., Advanced characterization of immobilized enzymes as heterogeneous biocatalysts, Catal. Today (2015), http://dx.doi.org/10.1016/j.cattod.2015.05.004 G Model CATTOD-9610; No. of Pages 15 ARTICLE IN PRESS J.M. Bolivar et al. / Catalysis Today xxx (2015) xxx–xxx 11 Table 5 In-operando studies of immobilized biocatalysts II: internal sensing in heterogeneous biocatalysts. System Application and information gained Comments Ref. IR spectroscopy Used in ATR mode Raman spectroscopy Porous particles in a packed bed reactor Porous carriers Multiphoton microscopy Porous carriers Increasing availability of immersion probes Time consuming, high cost, specialized equipment Increasing availability of immersion probes and confocal technology. Only non-fluorescent species of significant concentration can be quantified Increasing use [194,201] NMR imaging Local concentration resolution Intraparticle diffusion coefficients Spatial resolved concentration, diffusion coefficients in hydrogels Electrochemical sensing Polarographic O2 microsensing High porosity carrier [174–177] Opto-chemical sensing Luminescence intensity; fiber optics connected to spectrofluorimeter Porous carrier containing labeled proteins pH monitoring in stirred tank or fixed bed reactor, modeling and reactor design Dual-wavelength rationing; CLSM Porous carrier containing labeled proteins pH influence on selectivity of kinetically controlled reactions, enzyme loading, particle and pore size, surface modification, carrier selection Dual-wavelength rationing; CLSM Fluorescence-labeled material Method development and evaluation for pH sensing Fluorescence lifetime using CSLM Fluorescent-labeled membrane containing immobilized enzymes Fluorescence lifetime spectroscopy using phase modulation DLR using phase modulation; fiber optics Fluorescence-labeled material Temporal and spatial pH profiles in a substrate-enzyme reaction process within a thin membrane Method development and evaluation for pH sensing Laborious set-up; different microsensors needed; pre-characterization of each sensor. Invasive method. High spatial resolution data acquisition is difficult FITC is coupled to immobilized enzymes. Low signal-to-noise ratio. pH different between bulk and intraparticle amounted to 1.5–3 units Luminescence intensity-based measurements. FITC is coupled to immobilized enzyme Internal pH was measured in a fixed bed reactor during reaction Signal dependent was on measurement point/depth within the beads pH profile is influenced by buffer, incubation time, glucose concentration, diffusion distance and reaction of glucose oxidase First applied with immobilized pH sensitive dye in hydrogels DLR is compatible with different carrier surface functionalities, dyes adsorbed directly in carrier matrix; pH gradient depends on geometrical features of carrier, relevance for optimization of biocatalytic conversion processes Compatible with different carrier surface modifications, dyes adsorbed directly in carrier matrix; oxygen gradient depends on immobilization approach and informs about intrinsic immobilization chemistry Method and equipment Spectroscopic techniques Opto-chemical sensing Phase modulation technique Local concentration gradients Internal concentration gradient depending on enzyme loading and particle radius, kinetic parameters, concentration in liquid boundary layers Fluorescence-labeled porous carrier containing immobilized enzyme pH gradient between bulk and particle (biocatalyst design), correlation between steady-state kinetic analysis of immobilized enzyme and intraparticle elucidation Phosphorescence-labeled porous carriers containing immobilized oxidases Intraparticle oxygen, oxygen gradients been applied [27,166–186] for biocatalyst screening and characterization as well as for study and optimization of the reactor operation. Table 5 presents a summary of the immobilized enzyme system studied, with a focus on applied aspects. Notion is that evidence of the internal catalytic environment of a heterogeneous biocatalyst facilitates process optimization. Screening of suitable immobilization procedures is also a very interesting application of internal sensing whereby optimization of carrier geometries is of particular relevance for biocatalyst design. Immobilization [66,132] [197] [178,179] [168] [167] [193] [166] [186] [170,171] [172,173] conditions can be optimized in a target-oriented manner once conditions of the heterogeneous environment are well known [167,170]. Results of characterization of immobilized enzymes with internal sensing methods support the idea that determination of kinetic and mass-transfer parameters for heterogeneous biocatalysts is strongly supported when the available evidence is not just from the external environment [178]. Internal sensing also provides a powerful tool to distinguish effects of the immobilization on the intrinsic enzyme activity from mass transfer effects [180]. Please cite this article in press as: J.M. Bolivar, et al., Advanced characterization of immobilized enzymes as heterogeneous biocatalysts, Catal. Today (2015), http://dx.doi.org/10.1016/j.cattod.2015.05.004 G Model CATTOD-9610; No. of Pages 15 12 ARTICLE IN PRESS J.M. Bolivar et al. / Catalysis Today xxx (2015) xxx–xxx Opto-chemical internal sensing has received prominent attention in this context. 6.3.1. Principles of opto-chemical internal sensing Opto-chemical sensors are already in wide use for determination of diverse analytes: pH, O2 , CO2 , NH4 , glucose, alcohols, amines and a variety of ions [187,187–190]. Detection is usually by luminescence whereby different measurement principles are in use. Application of opto-chemical sensing for in-operando characterization of heterogeneous biocatalysts has two requirements in particular. First, the enzyme carriers need to be made internally responsive through incorporation of suitable luminescence dyes. Second, a suitable analytical set-up to provide in-operando measurements with high temporal resolution and suitable spatial resolution must be established. One possibility for luminescence labeling is the direct conjugation of enzymes and luminophores [167,168]. However, alteration of enzyme activity in consequence of the chemical conjugation is a significant problem. Labeling of the supports used for immobilization is therefore the preferred approach, considering that labeling must be compatible with the immobilization. Choice of the analytical set-ups determines which reactor configuration is suitable for the luminescence measurement measurements and also determines which level of spatial resolution is provided. Whereas the use of fiber-optics offers high flexibility in that both stirred suspensions and packed beds of particles can be analyzed, the use of microscopy offers higher spatial resolution but restricts the application to stagnant suspensions of particles or to flow-cell configurations. 6.3.2. Opto-chemical internal sensing of pH and O2 Internal sensing of pH and O2 has recently seen significant developments. Using incorporation of oxygen- or pH-sensitive luminophores into porous supports, internally responsive enzyme carriers were created. This together with the establishment of suitable read-out platforms now offers useful systems in which spaced-averaged internal concentrations of pH and O2 can be measured in enzyme immobilizates (Table 5). Intraparticle pH measurements have been used for biotransformation optimization in a fixed-bed enzyme reactor [168]. Spieß, Kasche and their colleagues have studied the hydrolysis of -lactam substrates (e.g. penicillin G), which results in net proton formation, and applied FITC-labeled immobilized amidase to quantify the extent of overall carrier acidification during the reaction. The internal pH was determined from fluorescence intensity data and shown to differ from the bulk pH by up to 3 pH units. Fluorescence intensity measurements are disturbed by the moving particles in stirred suspension. Self-referenced measurements and fluorescence lifetime [191] determinations exhibit superior analytical performance in agitated systems. Dual lifetime referencing (DLR), in particular [170,171,192], offers high versatility, independent on catalyst concentration, reactor configuration and scale of operation [170,171]. Significant progress was made in method development for intraparticle O2 measurement. The quantification of spaced averaged intraparticle oxygen concentrations in porous polymethacrylate enzyme carriers was accomplished by labeling the enzyme carrier with an O2 -sensitive luminophore and application of the phase modulation technique. Formation of a large gradient between O2 concentrations in bulk solvent and the internal environment of the carrier was detected, clearly indicating limitations in the supply of O2 co-substrate into the solid support [172,173]. In-operando determination of oxygen gradients between homogeneous liquid phase and internal catalytic environment was performed during determination of catalytic activity of heterogeneous oxidases as biocatalysts. The internally available O2 concentration was shown to control the catalytic effectiveness of heterogeneous biocatalyst. Clear distinction between physical and biochemical factors of effectiveness of the immobilized enzyme was made possible. Biocatalytic process intensification through enhanced mass transport was suggested and internal sensing-based evidence on the heterogeneous environment could facilitate the optimization of the operational conditions. 6.3.3. Internal sensing with high spatial resolution Opto-chemical sensing in combination with confocal laser scanning microscopy (CLSM) has allowed for determination of internal parameters (e.g. pH) in time- and space-resolved manner. Referenced fluorescence intensity measurements were used by Spieß and colleagues to characterize different immobilizates of penicillin G amidase [167]. Their study was seminal in demonstrating the importance of considering an internal parameter for immobilization optimization. They showed that internal pH was the key in controlling the selectivity of the immobilized amidase, implying the need to select carriers and immobilization procedures that support development of an optimum internal environment [167]. Huang and colleagues applied similar analytical techniques to determine pH gradients in biocatalytic membranes containing immobilized glucose oxidase [169]. A pH drop resulted in this case from the oxidation of d-glucose into d-gluconic acid. Fluorescence lifetime provides advanced measurement capabilities [178,179,186], eliminating signal distortion in dependence of the scanning depth as a known critical problem of intensity-based measurements in CLSM [193]. Internal pH changes at spatial resolution have been monitored in hydrogels and PEG microparticles using fluorescence lifetime microscopy techniques [166,186]. Unfortunately, analysis by CLSM depends on high-cost instrumentation that cannot be adapted to real-life reactor configurations and has limited throughput capacity. Multiphoton microscopy has been already used to resolve concentration gradients in hydrogel-encapsulated biocatalysts. High spatial and temporal resolution is obtained enabling the simultaneous identification and monitoring of multiple events in immobilized biocatalysts. Diffusion and enzymatic reaction are resolved by elucidation of local concentration gradients through the catalytic particle [178,179]. Using microelectrodes, electrochemical sensing was applied to measurement of internal parameters (NH4 + , O2 ) in immobilized enzymes at spatial resolution of <50 m [174–177,185]. However, because the analyte’s concentration is recorded only at single discrete space point, determination of full profiles necessitates that the sensor tip be moved with high precision around the area to be analyzed [174,175]. Mechanical fixation of the carrier, typically in a flow cell, is therefore required and the internal concentration is usually obtained at steady state while flowing substrate through the carrier [174–176]. Notable limitations of the method are that relatively large and soft carriers (e.g. agarose) are required and only stable profiles with slow dynamics can be monitored. The analytical method has received only little response in the community, most probably because of the highly specialized set-up and the complicated micro-manipulations involved. Moreover, its strongly invasive character is a clear drawback. A broad variety of (powerful) spectroscopic techniques have been applied with success for characterization of the internal environment of solid supported chemical catalysts (e.g. NMR, Raman, IR) [66,194–201] with high time and spatial resolution and show some application in heterogeneous biocatalysts. Nuclear magnetic resonance imaging has been applied to the glucose isomerization catalyzed by heterogeneous biocatalyst in a packed bed reactor [132] and resolution of enzyme catalyzed esterification of propionic acid and butanol in an internal hydrogel environment [66]. Even though the technique is highly suitable for evaluating analyte transfer into the pores, fast concentration changes due to biocatalytic reactions could be poorly resolved. Therefore, these techniques have not been broadly extended to a carrier containing immobilized Please cite this article in press as: J.M. Bolivar, et al., Advanced characterization of immobilized enzymes as heterogeneous biocatalysts, Catal. Today (2015), http://dx.doi.org/10.1016/j.cattod.2015.05.004 G Model CATTOD-9610; No. of Pages 15 ARTICLE IN PRESS J.M. Bolivar et al. / Catalysis Today xxx (2015) xxx–xxx enzymes and the application is focused more in biochemical research than in real-time monitoring. High time, cost, specialized equipment demands for acquisition are current drawbacks [196]. Raman spectroscopy has also been applied for the spatial resolved concentration and determination of diffusion coefficients in hydrogels [197]. Interest has recently been high in the use of microstructured flow reactors for chemical synthesis [202–205]. In these miniaturized systems, gas or liquid passes in single- or multi-phase flow through small channels of typically several ten to hundred micrometers in size. Reactions may take place in the continuous phase or at the surface of the microchannel walls. Internal sensing along the microchannel wall(s) therefore constitutes a highly promising element of process monitoring and control in microreactors [203,206–209]. 6.3.4. Expanding to other analytes and biocatalysts Method diversification to other analytes remains a challenging task for the future. Self-fluorescent molecules (e.g. NADH and NADPH) might lend themselves directly for internal sensing using fluorescence resonance energy transfer [145,210]. Luminescence labeling through direct incorporation into the enzyme carrier, as demonstrated for the relatively hydrophobic polymethacrylate material, could be applicable to a range of other organic polymers used in the field. More hydrophilic carriers might require adaptation of the labeling procedure, using covalent fixation or other forms of deposition of the luminophore(s) on the surface, for example. However, manufacture of optical chemical sensors has been confronted with similar challenges, and there are already useful solutions to overcome them [187,211]. Hydrogels applied for encapsulation of enzymes and cells should be generally amenable to the fluorescence labeling [186]. 7. Conclusions An advanced “systems approach” of characterization of solidsupported immobilized enzymes as heterogeneous biocatalysts is suggested. The development is envisioned to proceed through a productive cycle, as shown in Fig. 2, whereby collection of direct evidence from the heterogeneous system is the key. It is argued that while conventional characterization of immobilized enzymes still relies almost exclusively on apparent parameters determined from measurements in the liquid phase, deepened understanding of the behavior of the biocatalytically active solid phase is essential for targeted development. Based on detailed summary of recent literature with a focus on direct characterization of immobilized enzymes, limitations to progress in the task of immobilization-bydesign are identified. Practical methods for protein conformational analysis on solid surfaces need to be developed and adapted to the requirements of enzymes on porous supports of up to a millimeter in diameter. Protein visualization on porous supports has become a widely used characterization method where microscopic imaging with spatiotemporal resolution capability is preferably used. Methods of direct characterization of activity and stability of immobilized enzymes as heterogeneous biocatalysts are mainly based on internal sensing, activity measurements and reactor operation. Opto-chemical methods offer flexibility and versatility regarding the material and the geometry of support used. Moreover, they do not require complicated and costly equipment. However, preparation of internally responsive materials compatible with immobilization is still challenging for many carriers used and limited to a relatively small range of analytes. Development of readout systems and analytical set-ups compatible with all the reactor configurations used with heterogeneous biocatalysts also remains a challenge. However, process analytical technologies applied in 13 heterogeneous biocatalysis are expected to gain momentum, whereby innovative process control strategies would be based on the on-line monitoring of internal parameters. Ability to observe structural features of immobilized enzymes in operando remains a distant but important target in the field. References [1] C.M. Clouthier, J.N. Pelletier, Chem. Soc. Rev. 41 (2012) 1585–1605. [2] U.T. Bornscheuer, G.W. Huisman, R.J. Kazlauskas, S. Lutz, J.C. Moore, K. Robins, Nature 485 (2012) 185–194. [3] R. Wohlgemuth, Curr. Opin. Biotechnol. 21 (2010) 713–724. [4] K.V. Bucholz, Biocatalysts and Enzyme Technology, Wiley-VCH, Weinheim, 2005. [5] A.S. Bommarius, B.R. Riebel, Biocatalysis, Wiley-VCH, Weinheim, 2004. [6] K. Faber, Biotransformations in Organic Chemistry: A Textbook, SpringerVerlag, Berlin, Heidelberg, 2011. [7] P. Tufvesson, W. Fu, J.S. Jensen, J.M. Woodley, Food Bioprod. Process. 88 (2010) 3–11. [8] J.M. Woodley, Biochem. Soc. Trans. 34 (2006) 301–303. [9] J.M. Guisán, Immobilization of Enzymes and Cells, Humana Press, Totowa, 2010. [10] S. Cantone, V. Ferrario, L. Corici, C. Ebert, D. Fattor, P. Spizzo, et al., Chem. Soc. Rev. 42 (2013) 6262–6276. [11] L. Bayne, R.V. Ulijn, P.J. Halling, Chem. Soc. Rev. 42 (2013) 9000–9010. [12] P. Torres-Salas, A. del Monte-Martinez, B. Cutiño-Avila, B. Rodriguez-Colinas, M. Alcalde, A.O. Ballesteros, et al., Adv. Mater. 23 (2011) 5275–5282. [13] E. Magner, Chem. Soc. Rev. 42 (2013) 6213–6222. [14] M. Hartmann, X. Kostrov, Chem. Soc. Rev. 42 (2013) 6277–6289. [15] R.A. Sheldon, S. van Pelt, Chem. Soc. Rev. 42 (2013) 6223–6235. [16] U. Hanefeld, L. Gardossi, E. Magner, Chem. Soc. Rev. 38 (2009) 453–468. [17] C. Garcia-Galan, A. Berenguer-Murcia, R. Fernandez-Lafuente, R.C. Rodrigues, Adv. Synth. Catal. 353 (2011) 2885–2904. [18] C. Mateo, J.M. Palomo, G. Fernandez-Lorente, J.M. Guisan, R. FernandezLafuente, Enzyme Microb. Technol. 40 (2007) 1451–1463. [19] R.C. Rodrigues, C. Ortiz, Á. Berenguer-Murcia, R. Torres, R. FernándezLafuente, Chem. Soc. Rev. 42 (2013) 6290–6307. [20] A. Liese, L. Hilterhaus, Chem. Soc. Rev. 42 (2013) 6236–6249. [21] F. Secundo, Chem. Soc. Rev. 42 (2013) 6250–6261. [22] N. Carlsson, H. Gustafsson, C. Thörn, L. Olsson, K. Holmberg, B. Åkerman, Adv. Colloid. Interf. Sci. 205 (2014) 339–360. [23] A. Illanes, Enzyme Biocatalysis, Principles and Applications, Springer, New York, 2010. [24] K. Hernandez, R. Fernandez-Lafuente, Enzyme Microb. Technol. 48 (2011) 107–122. [25] O. Barbosa, C. Ortiz, Á. Berenguer-Murcia, R. Torres, R.C. Rodrigues, R. Fernandez-Lafuente, Biotechnol. Adv. (2015), http://dx.doi.org/10.1016/j. biotechadv.2015.03.006 (in press). [26] R.C. Rodrigues, Á. Berenguer-Murcia, R. Fernandez-Lafuente, Adv. Synth. Catal. 353 (2011) 2216–2238. [27] J.M. Bolivar, T. Consolati, T. Mayr, B. Nidetzky, Trends Biotechnol. 31 (2013) 194–203. [28] L. Cao, L. van Langen, R.A. Sheldon, Curr. Opin. Biotechnol. 14 (2003) 387–394. [29] R.A. Sheldon, Adv. Synth. Catal. 349 (2007) 1289–1307. [30] R. Singh, M. Tiwari, R. Singh, J.-K. Lee, Int. J. Mol. Sci. 14 (2013) 1232–1277. [31] A. Ciaccafava, P. Infossi, M. Ilbert, M. Guiral, S. Lecomte, M.T. Giudici-Orticoni, et al., Angew. Chem. 124 (2012) 977–980. [32] A. Curulli, A. Cusmà, S. Kaciulis, G. Padeletti, L. Pandolfi, F. Valentini, et al., Surf. Interf. Anal. 38 (2006) 478–481. [33] S. Libertino, F. Giannazzo, V. Aiello, A. Scandurra, F. Sinatra, M. Renis, et al., Langmuir 24 (2008) 1965–1972. [34] J. Zhang, F. Zhang, H. Yang, X. Huang, H. Liu, J. Zhang, et al., Langmuir 26 (2010) 6083–6085. [35] X.-P. Zhou, W. Li, Q.-H. Shi, Y. Sun, J. Chromatogr. A 1103 (2006) 110–117. [36] J.C. Cruz, P.H. Pfromm, R. Szoszkiewicz, M.E. Rezac, Process Biochem. 49 (2014) 830–839. [37] P.A. Ash, K.A. Vincent, Chem. Commun. Camb. Engl. 48 (2012) 1400–1409. [38] L. Shen, N.W. Ulrich, C.M. Mello, Z. Chen, Chem. Phys. Lett. 619 (2015) 247–255. [39] H. Zhu, R. Srivastava, J.Q. Brown, M.J. McShane, Bioconjug. Chem. 16 (2005) 1451–1458. [40] J. Schartner, K. Gavriljuk, A. Nabers, P. Weide, M. Muhler, K. Gerwert, et al., ChemBioChem 15 (2014) 2529–2534. [41] S.E. Collins, V. Lassalle, M.L. Ferreira, J. Mol. Catal. B 72 (2011) 220–228. [42] M.H.A. Janssen, L.M. van Langen, S.R.M. Pereira, F. van Rantwijk, R.A. Sheldon, Biotechnol. Bioeng. 78 (2002) 425–432. [43] L.M. Van Langen, M.H.A. Janssen, N.H.P. Oosthoek, S.R.M. Pereira, V.K. Svedas, F. van Rantwijk, et al., Biotechnol. Bioeng. 79 (2002) 224–228. [44] F. Shiraishi, H. Miyakawa, J. Ferment. Bioeng. 77 (1994) 224–228. [45] F. Shiraishi, J. Ferment. Bioeng. 79 (1995) 373–377. [46] A. Borchert, K. Buchholz, Biotechnol. Bioeng. 26 (1984) 727–736. [47] M.M. Hossain, D.D. Do, Chem. Eng. Sci. 42 (1987) 255–264. [48] M.M. Hossain, D.D. Do, Chem. Eng. J. 34 (1987) B35–B47. Please cite this article in press as: J.M. Bolivar, et al., Advanced characterization of immobilized enzymes as heterogeneous biocatalysts, Catal. Today (2015), http://dx.doi.org/10.1016/j.cattod.2015.05.004 G Model CATTOD-9610; No. of Pages 15 14 ARTICLE IN PRESS J.M. Bolivar et al. / Catalysis Today xxx (2015) xxx–xxx [49] J. van Roon, R. Beeftink, K. Schroën, H. Tramper, Curr. Opin. Biotechnol. 13 (2002) 398–405. [50] J.L. van Roon, C.G.P.H. Schroën, J. Tramper, H.H. Beeftink, Biotechnol. Adv. 25 (2007) 137–147. [51] K. Wadu-Mesthrige, N.A. Amro, G.-Y. Liu, Scanning 22 (2000) 380–388. [52] J.L. van Roon, A.C. van Aelst, C.G.P.H. Schroën, J. Tramper, H.H. Beeftink, Scanning 27 (2005) 181–189. [53] J.L. van Roon, R.M. Boom, M.A. Paasman, J. Tramper, C.G.P.H. Schroën, H.H. Beeftink, J. Biotechnol. 119 (2005) 400–415. [54] J.L. van Roon, E. Groenendijk, H. Kieft, C.G.P.H. Schron, J. Tramper, H.H. Beeftink, Biotechnol. Bioeng. 89 (2005) 660–669. [55] M. Piras, A. Salis, M. Piludu, D. Steri, M. Monduzzi, Chem. Commun. Camb. Engl. 47 (2011) 7338–7340. [56] F. López-Gallego, L. Yate, Chem Commun. DOI: 10.1039/c5cc00318k. (in press). [57] Á. Mayoral, V. Gascón, R.M. Blanco, C. Márquez-Álvarez, I. Díaz, APL Mater. 2 (2014) 113304. [58] A. Mayoral, R. Arenal, V. Gascón, C. Márquez-Álvarez, R.M. Blanco, I. Díaz, ChemCatChem 5 (2013) 903–909. [59] R. Esposito, I. Delfino, M. Lepore, J. Fluoresc. 23 (2013) 947–955. [60] J. Lasch, M. Iwig, R. Koelsch, Eur. J. Biochem. FEBS 60 (1975) 163–167. [61] J. Lasch, R. Kühnau, Enzyme Microb. Technol. 8 (1986) 115–119. [62] J. Hubbuch, M.R. Kula, Bioprocess Biosyst. Eng. 31 (2008) 241–259. [63] K. Yang, S. Bai, Y. Sun, Chem. Eng. Sci. 63 (2008) 4045–4054. [64] T. Linden, A. Ljunglöf, M.R. Kula, J. Thömmes, Biotechnol. Bioeng. 65 (1999) 622–630. [65] K. Yang, Q.-H. Shi, Y. Sun, J. Chromatogr. A 1136 (2006) 19–28. [66] M. Küppers, C. Heine, S. Han, S. Stapf, B. Blümich, Appl. Magn. Reson. 22 (2002) 235–246. [67] M. Heinemann, T. Wagner, B. Doumèche, M. Ansorge-Schumacher, J. Büchs, Biotechnol. Lett. 24 (2002) 845–850. [68] J. Gutenwik, B. Nilsson, A. Axelsson, J. Chromatogr. A 1048 (2004) 161–172. [69] M. Schröder, E. von Lieres, J. Hubbuch, J. Phys. Chem. B 110 (2006) 1429–1436. [70] C.W. Suh, M.Y. Kim, J.B. Choo, J.K. Kim, H.K. Kim, E.K. Lee, J. Biotechnol. 112 (2004) 267–277. [71] M. Malmsten, K. Xing, A. Ljunglöf, J. Colloid Interf. Sci. 220 (1999) 436–442. [72] M. Ladero, A. Santos, F. Garcia-Ochoa, Biotechnol. Bioeng. 72 (2001) 458–467. [73] H. Noureddini, X. Gao, J. Sol-Gel Sci. Technol. 41 (2006) 31–41. [74] P. Torres, A. Datla, V.W. Rajasekar, S. Zambre, T. Ashar, M. Yates, et al., Catal. Commun. 9 (2008) 539–545. [75] S. Bidmanova, E. Hrdlickova, J. Jaros, L. Ilkovics, A. Hampl, J. Damborsky, et al., Biotechnol. J. 9 (2014) 852–860. [76] D. Hormigo, I. De La Mata, M. Castillón, C. Acebal, M. Arroyo, Biocatal. Biotransformation 27 (2009) 271–281. [77] D. Hormigo, I. de la Mata, C. Acebal, M. Arroyo, Bioresour. Technol. 101 (2010) 4261–4268. [78] L. Fernandez-Arrojo, B. Rodriguez-Colinas, P. Gutierrez-Alonso, M. FernandezLobato, M. Alcalde, A.O. Ballesteros, et al., Process Biochem. 48 (2013) 677–682. [79] A.V.F. Nielsen, P. Andric, P.M. Nielsen, L.H. Pedersen, Langmuir 30 (2014) 5429–5434. [80] S. Matsuura, R. Ishii, T. Itoh, T. Hanaoka, S. Hamakawa, T. Tsunoda, et al., Microporous Mesoporous Mater. 127 (2010) 61–66. [81] S. Matsuura, T. Yokoyama, R. Ishii, T. Itoh, E. Tomon, S. Hamakawa, et al., Chem. Commun. Camb. Engl. 48 (2012) 7058–7060. [82] S. Matsuura, R. Ishii, T. Itoh, S. Hamakawa, T. Tsunoda, T. Hanaoka, et al., Chem. Eng. J. 167 (2011) 744–749. [83] S. Lu, Z. Song, J. He, J. Phys. Chem. B 115 (2011) 7744–7750. [84] A. Ljunglöf, M. Larsson, K.G. Knuuttila, J. Lindgren, J. Chromatogr. A 893 (2000) 235–244. [85] A. Ljunglöf, R. Hjorth, J. Chromatogr. A 743 (1996) 75–83. [86] A. Ljunglöf, J. Thömmes, J. Chromatogr. A 813 (1998) 387–395. [87] J.M. Bolivar, A. Hidalgo, L. Sánchez-Ruiloba, J. Berenguer, J.M. Guisán, F. LópezGallego, J. Biotechnol. 155 (2011) 412–420. [88] P. Batalla, J.M. Bolívar, F. Lopez-Gallego, J.M. Guisan, J. Chromatogr. A 1262 (2012) 56–63. [89] J. Rocha-Martín, B. de las Rivas, R. Muñoz, J.M. Guisán, F. López-Gallego, ChemCatChem 4 (2012) 1279–1288. [90] F. López-Gallego, I. Acebrón, J.M. Mancheño, S. Raja, M.P. Lillo, J.M. Guisán Seijas, Bioconjug. Chem. 23 (2012) 565–573. [91] A.S. Bommarius, M.F. Paye, Chem. Soc. Rev. 42 (2013) 6534–6565. [92] H. Fabian, W. Mäntele, Infrared spectroscopy of proteins, in: Handbook of Vibrational Spectroscopy, John Wiley & Sons, Berlin, 2006. [93] A. Barth, Biochim. Biophys. Acta 1767 (2007) 1073–1101. [94] A. Ganesan, B.D. Moore, S.M. Kelly, N.C. Price, O.J. Rolinski, D.J.S. Birch, et al., ChemPhysChem 10 (2009) 1492–1499. [95] H. Yang, S. Yang, J. Kong, A. Dong, S. Yu, Nat. Protoc. 10 (2015) 382–396. [96] A. Gole, C. Dash, V. Ramakrishnan, S.R. Sainkar, A.B. Mandale, M. Rao, et al., Langmuir 17 (2001) 1674–1679. [97] Y. Mei, L. Miller, W. Gao, R.A. Gross, Biomacromolecules 4 (2003) 70–74. [98] A. Wittemann, M. Ballauff, Anal. Chem. 76 (2004) 2813–2819. [99] M. Portaccio, R. Esposito, I. Delfino, M. Lepore, J. Sol-Gel Sci. Technol. 71 (2014) 580–588. [100] I. Delfino, M. Portaccio, B.D. Ventura, D.G. Mita, M. Lepore, Mater. Sci. Eng. C 33 (2013) 304–310. [101] A. Kreider, S. Sell, T. Kowalik, A. Hartwig, I. Grunwald, Colloid. Surf. B 116 (2014) 378–382. [102] D. Kröger, M. Liley, W. Schiweck, A. Skerra, H.I. Vogel, Biosens. Bioelectron. 14 (1999) 155–161. [103] E. Reátegui, A. Aksan, J. Biomech. Eng. 131 (2009) 074520. [104] A. Vinu, V. Murugesan, M. Hartmann, J. Phys. Chem. B 108 (2004) 7323–7330. [105] Z. Zhou, A. Inayat, W. Schwieger, M. Hartmann, Microporous Mesoporous Mater. 154 (2012) 133–141. [106] L.-C. Sang, M.-O. Coppens, Phys. Chem. Chem. Phys. PCCP 13 (2011) 6689–6698. [107] C. Lei, Y. Shin, J.K. Magnuson, G. Fryxell, L.L. Lasure, D.C. Elliott, et al., Nanotechnology 17 (2006) 5531–5538. [108] A.A. Thyparambil, Y. Wei, R.A. Latour, Biointerphases 10 (2015) 019002. [109] L. Whitmore, B.A. Wallace, Biopolymers 89 (2008) 392–400. [110] K.-C. Kao, T.-S. Lin, C.-Y. Mou, J. Phys. Chem. C 118 (2014) 6734–6743. [111] Y. Masuda, S. Kugimiya, Y. Kawachi, K. Kato, RSC Adv. 4 (2014) 3573–3580. [112] M.L. Verma, M. Naebe, C.J. Barrow, M. Puri, PLoS ONE 8 (2013) e73642. [113] Y.S. Chaudhary, S.K. Manna, S. Mazumdar, D. Khushalani, Microporous Mesoporous Mater. 109 (2008) 535–541. [114] Y. Urabe, T. Shiomi, T. Itoh, A. Kawai, T. Tsunoda, F. Mizukami, et al., Chembiochem. Eur. J. Chem. Biol. 8 (2007) 668–674. [115] B. Chen, C. Lei, Y. Shin, J. Liu, Biochem. Biophys. Res. Commun. 390 (2009) 1177–1181. [116] M. Falahati, A.A. Saboury, A. Shafiee, S.M.R. Sorkhabadi, E. Kachooei, L. Ma’mani, et al., Biophys. Chem. 165–166 (2012) 13–20. [117] K. Murai, T. Nonoyama, T. Saito, K. Kato, Catal. Sci. Technol. 2 (2012) 310–315. [118] G.A. Petkova, K. Záruba, V. Král, Biochim. Biophys. Acta 1824 (2012) 792–801. [119] U. Roessl, S. Leitgeb, S. Pieters, T. De Beer, B. Nidetzky, J. Pharm. Sci. 103 (2014) 2287–2295. [120] Y. Xiao, T. Stone, D. Bell, C. Gillespie, M. Portoles, Anal. Chem. 84 (2012) 7367–7373. [121] T. Kitagawa, Prog. Biophys. Mol. Biol. 58 (1992) 1–18. [122] A. Michota-Kaminska, B. Wrzosek, J. Bukowska, Appl. Spectrosc. 60 (2006) 752–757. [123] J. Kneipp, B. Wittig, H. Bohr, K. Kneipp, Theor. Chem. Acc. 125 (2010) 319–327. [124] K. Kneipp, H. Kneipp, I. Itzkan, R.R. Dasari, M.S. Feld, J. Phys. Condens. Mat. 14 (2002) R597–R624. [125] G. McNay, D. Eustace, W.E. Smith, K. Faulds, D. Graham, Appl. Spectrosc. 65 (2011) 825–837. [126] M.G. Friedrich, F. Giess, R. Naumann, W. Knoll, K. Ataka, J. Heberle, et al., Chem. Commun. (2004) 2376–2377. [127] T.M. Cotton, J.-H. Kim, G.D. Chumanov, J. Raman Spectrosc. 22 (1991) 729–742. [128] A.T. Biegunski, A. Michota, J. Bukowska, K. Jackowska, Bioelectrochemistry 69 (2006) 41–48. [129] Y. Xiao, T. Stone, W. Moya, P. Killian, T. Herget, Anal. Chem. 86 (2014) 1007–1015. [130] M. Mazur, P. Krysiński, A. Michota-Kamińska, J. Bukowska, J. Rogalski, G.J. Blanchard, Bioelectrochemistry 71 (2007) 15–22. [131] W. Laureyn, D. Nelis, P. Van Gerwen, K. Baert, L. Hermans, R. Magnée, et al., Sens. Actuators B Chem. 68 (2000) 360–370. [132] I.I. Koptyug, A.A. Lysova, G.A. Kovalenko, L.V. Perminova, I.V. Koptyug, Appl. Magn. Reson. 37 (2009) 483–495. [133] N.E. Fauré, P.J. Halling, S. Wimperis, J. Phys. Chem. C 118 (2014) 1042–1048. [134] B. Bechinger, C. Aisenbrey, P. Bertani, Biochim. Biophys. Acta Biomembr. 1666 (2004) 190–204. [135] J.J. Buffy, A.J. Waring, R.I. Lehrer, M. Hong, Biochemistry (Mosc.). 42 (2003) 13725–13734. [136] N.R. Mohamad, N.H.C. Marzuki, N.A. Buang, F. Huyop, R.A. Wahab, Biotechnol. Biotechnol. Equip. 29 (2015) 1–16. [137] E.S. da Silva, V. Gómez-Vallejo, J. Llop, F. López-Gallego, Catal. Sci. Technol. 5 (2015) 2705–2713. [138] F. López-Gallego, O. Abian, J.M. Guisán, Biochemistry (Mosc.) 51 (2012) 7028–7036. [139] P.M. Doran, in: P.M. Doran (Ed.), Heterogeneous Reactions in Bioprocess Engineering Principles, Academic Press, Waltham, 2013, pp. 705–759. [140] A. Prediger, A. Bluma, T. Höpfner, P. Lindner, S. Beutel, J.J. Müller, et al., Chem. Eng. Technol. 34 (2011) 837–840. [141] P. Harms, Y. Kostov, G. Rao, Curr. Opin. Biotechnol. 13 (2002) 124–127. [142] A. Bluma, T. Höpfner, A. Prediger, A. Glindkamp, S. Beutel, T. Scheper, Eng. Life Sci. 11 (2011) 550–553. [143] A. Bluma, T. Höpfner, P. Lindner, C. Rehbock, S. Beutel, D. Riechers, et al., Anal. Bioanal. Chem. 398 (2010) 2429–2438. [144] K. Schügerl, J. Biotechnol. 85 (2001) 149–173. [145] S. Beutel, S. Henkel, Appl. Microbiol. Biotechnol. 91 (2011) 1493–1505. [146] B. Opitz, A. Prediger, C. Lüder, M. Eckstein, L. Hilterhaus, P. Lindner, et al., Anal. Chem. 85 (2013) 8121–8126. [147] B.H. Junker, H.Y. Wang, Biotechnol. Bioeng. 95 (2006) 226–261. [148] A.S. Rathore, R. Bhambure, V. Ghare, Anal. Bioanal. Chem. 398 (2010) 137–154. [149] M.E. Amato, G. Ansanelli, S. Fisichella, R. Lamanna, G. Scarlata, A.P. Sobolev, et al., J. Agric. Food Chem. 52 (2004) 823–831. [150] E. Horváth, J. Gajári, J. Kristóf, Á. Rédey, L. Kocsis, Anal. Chim. Acta 370 (1998) 191–197. [151] A. Kandelbauer, O. Maute, R.W. Kessler, A. Erlacher, G.M. Gübitz, Biotechnol. Bioeng. 87 (2004) 552–563. [152] M. López-Pastor, A. Domínguez-Vidal, M.J. Ayora-Cañada, B. Lendl, M. Valcárcel, Microchem. J. 87 (2007) 93–98. Please cite this article in press as: J.M. Bolivar, et al., Advanced characterization of immobilized enzymes as heterogeneous biocatalysts, Catal. Today (2015), http://dx.doi.org/10.1016/j.cattod.2015.05.004 G Model CATTOD-9610; No. of Pages 15 ARTICLE IN PRESS J.M. Bolivar et al. / Catalysis Today xxx (2015) xxx–xxx [153] R. Pacheco, M.L.M. Serralheiro, A. Karmali, P.I. Haris, Anal. Biochem. 322 (2003) 208–214. [154] M.P.A. Ribeiro, T.F. Pádua, O.D. Leite, R.L.C. Giordano, R.C. Giordano, Chemom. Intell. Lab. Syst. 90 (2008) 169–177. [155] R. Pacheco, A. Karmali, M.L.M. Serralheiro, P.I. Haris, Anal. Biochem. 346 (2005) 49–58. [156] M.R. Dadd, D.C. Sharp, A.J. Pettman, C.J. Knowles, J. Microbiol. Methods 41 (2000) 69–75. [157] E. Elfanso, M. Garland, K.C. Loh, M.M.R. Talukder, E.I. Widjaja, Catal. Today. 155 (2010) 223–226. [158] L.D. Do, R. Buchet, S. Pikula, A. Abousalham, S. Mebarek, Anal. Biochem. 430 (2012) 32–38. [159] A.A. Khaskheli, F.N. Talpur, M.A. Ashraf, A. Cebeci, S. Jawaid, H.I. Afridi, J. Mol. Catal. B Enzym. 113 (2015) 56–61. [160] S. Kumar, A. Barth, Sensors 10 (2010) 2626–2637. [161] E. Polshin, B. Verbruggen, D. Witters, B. Sels, D. De Vos, B. Nicolaï, Sens. Actuators B Chem. 196 (2014) 175–182. [162] J. Yang, M.-J. Lorrain, D. Rho, P.C.K. Lau, Ind. Biotechnol. 2 (2006) 138–142. [163] A. Baum, A.S. Meyer, J.L. Garcia, M. Egebo, P.W. Hansen, J.D. Mikkelsen, Anal. Chim. Acta 778 (2013) 1–8. [164] S. Armenta, W. Tomischko, B. Lendl, Appl. Spectrosc. 62 (2008) 1322–1325. [165] M. Haberkorn, P. Hinsmann, B. Lendl, Analyst 127 (2002) 109–113. [166] A.C. Spiess, M. Zavrel, M.B. Ansorge-Schumacher, C. Janzen, C. Michalik, T.W. Schmidt, et al., Chem. Eng. Sci. 63 (2008) 3457–3465. [167] A.C. Spiess, V. Kasche, Biotechnol. Prog. 17 (2001) 294–303. [168] A. Spieß, R.C. Schlothauer, J. Hinrichs, B. Scheidat, V. Kasche, Biotechnol. Bioeng. 62 (1999) 267–277. [169] H.Y. Huang, J. Shaw, C. Yip, X.Y. Wu, Pharm. Res. 25 (2008) 1150–1157. [170] C. Boniello, T. Mayr, I. Klimant, B. Koenig, W. Riethorst, B. Nidetzky, Biotechnol. Bioeng. 106 (2010) 528–540. [171] C. Boniello, T. Mayr, J.M. Bolivar, B. Nidetzky, BMC Biotechnol. 12 (2012) 11. [172] J.M. Bolivar, S. Schelch, T. Mayr, B. Nidetzky, ChemCatChem 6 (2014) 981–986. [173] J.M. Bolivar, T. Consolati, T. Mayr, B. Nidetzky, Biotechnol. Bioeng. 110 (2013) 2086–2095. [174] C.M. Hooijmans, S.G.M. Geraats, K.C.A.M. Luyben, Biotechnol. Bioeng. 35 (1990) 1078–1087. [175] C.M. Hooijmans, C. Ras, K.C.A.M. Luyben, Enzyme Microb. Technol. 12 (1990) 178–183. [176] C.M. Hooijmans, M.L. Stoop, M. Boon, K.C. Luyben, Biotechnol. Bioeng. 40 (1992) 16–24. [177] C.M. Hooijmans, S.G.M. Geraats, J.J.M. Potters, K.C.A.M. Luyben, Chem. Eng. J. 44 (1990) B41–B46. [178] M. Zavrel, C. Michalik, T. Schwendt, T. Schmidt, M. Ansorge-Schumacher, C. Janzen, et al., Chem. Eng. Sci. 65 (2010) 2491–2499. 15 [179] T. Schwendt, C. Michalik, M. Zavrel, A. Dennig, A.C. Spiess, R. Poprawe, et al., Appl. Spectrosc. 64 (2010) 720–726. [180] T. Zahel, C. Boniello, B. Nidetzky, Proccess Biochem. 48 (2013) 593–604. [181] C. Aflalo, J. Bioenerg. Biomembr. 29 (1997) 549–559. [182] C. Aflalo, M. DeLuca, Biochemistry (Mosc.). 26 (1987) 3913–3920. [183] C. Aflalo, M. DeLuca, Prog. Clin. Biol. Res. 273 (1988) 337–342. [184] C. Aflalo, L.A. Segel, J. Theor. Biol. 158 (1992) 67–108. [185] D. De Beer, J.C. Van Den Heuvel, Anal. Chim. Acta. 213 (1988) 259–265. [186] E. Kuwana, F. Liang, E.M. Sevick-Muraca, Biotechnol. Prog. 20 (2004) 1561–1566. [187] M.I.J. Stich, L.H. Fischer, O.S. Wolfbeis, Chem. Soc. Rev. 39 (2010) 3102–3114. [188] C. Huber, I. Klimant, C. Krause, O.S. Wolfbeis, Anal. Chem. 73 (2001) 2097–2103. [189] K. Waich, S. Borisov, T. Mayr, I. Klimant, Sens. Actuators B Chem. 139 (2009) 132–138. [190] S.M. Borisov, I. Klimant, Anal. Bioanal. Chem. 404 (2012) 2797–2806. [191] B. Valeur, Principles of Steady State and Time Resolved Fluorometric Techniques in Molecular Fluorescence: Principles and Applications, 1st ed., Wiley-VCH, Weinheim, 2001, pp. 155–199. [192] I. G Liebsch, C. Klimant, O.S. Krause, F. Wolfbeis, Anal. Chem. 73 (2001) 4354–4363. [193] M. Heinemann, U. Limper, J. Büchs, J. Chromatogr. A 1024 (2004) 45–53. [194] B.L. Mojet, S.D. Ebbesen, L. Lefferts, Chem. Soc. Rev. 39 (2010) 4643–4655. [195] L. Buljubasich, B. Blümich, S. Stapf, J. Magn. Reson. 212 (2011) 47–54. [196] A.A. Lysova, I.V. Koptyug, Chem. Soc. Rev. 39 (2010) 4585–4601. [197] S. Kwak, M. Lafleur, Appl. Spectrosc. 57 (2003) 768–773. [198] B.M. Weckhuysen, Angew. Chem. Int. Ed. 48 (2009) 4910–4943. [199] U. Bentrup, Chem. Soc. Rev. 39 (2010) 4718–4730. [200] G. De Cremer, B.F. Sels, D.E. De Vos, J. Hofkens, M.B.J. Roeffaers, Chem. Soc. Rev. 39 (2010) 4703–4717. [201] J.-M. Andanson, A. Baiker, Chem. Soc. Rev. 39 (2010) 4571. [202] J. Yoshida, H. Kim, A. Nagaki, ChemSusChem 4 (2011) 331–340. [203] J.M. Bolivar, J. Wiesbauer, B. Nidetzky, Trends Biotechnol. 29 (2011) 333–342. [204] P. Fernandes, Int. J. Mol. Sci. 11 (2010) 858–879. [205] K. Jähnisch, V. Hessel, H. Löwe, M. Baerns, Angew. Chem. Int. Ed. 43 (2004) 406–446. [206] A. Schagen, M. Modigell, Exp. Fluids 38 (2005) 174–184. [207] A. Schagen, M. Modigell, Exp. Fluids 43 (2007) 209–221. [208] A. Schagen, M. Modigell, G. Dietze, R. Kneer, J. Int, Heat Mass Transf. 49 (2006) 5049–5061. [209] B. Ungerböck, A. Pohar, T. Mayr, I. Plazl, Microfluid. Nanofluidics 14 (2013) 165–174. [210] M.Y. Berezin, S. Achilefu, Chem. Rev. 110 (2010) 2641–2684. [211] K. Koren, S.M. Borisov, I. Klimant, Sens. Actuators B Chem. 169 (2012) 173–181. Please cite this article in press as: J.M. Bolivar, et al., Advanced characterization of immobilized enzymes as heterogeneous biocatalysts, Catal. Today (2015), http://dx.doi.org/10.1016/j.cattod.2015.05.004
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