“Enzymes for Biosensors – Important factors in your choice”. Biosensors are becoming increasingly sophisticated and therefore it is increasingly important that the enzymes that are the key part of this technology are of the required quality. For use in a biosensor the enzyme chosen must fulfil several important requirements. The first key requirement is that the enzyme is suitably specific to avoid any false signals. False signals can be caused by a general lack of specificity of the enzyme itself or by the presence of other contaminating enzymes which can cause interfering reactions. In addition it is important that the enzyme is of high Specific Activity i.e. enzyme activity per unit protein and that it is soluble at high concentrations to enable sufficient units of activity to be deposited on the biosensor surface. It is also important to have good batch to batch consistency. The enzyme must have good stability at high temperature and must also be stable and active over the required range of pH. Other factors that should be considered when choosing an enzyme for use in biosensor technology include the Michaelis–Menten constant (Km) of the enzyme and its ability to transfer electrons to a range of suitable mediators. Read more Specificity The most common analyte measured using a biosensor is glucose. There are two common classes of enzyme used in such biosensors these being glucose oxidase (GO) and glucose dehydrogenase (GDH). These enzymes show some remarkable differences in specificity for sugars other than glucose. Glucose oxidase has excellent specificity, showing less than 1% activity on a range of different sugars compared to its activity on glucose when measured at a concentration of 30mM substrate. This would seem to make it an ideal enzyme for use in glucose biosensors. However, in glucose oxidase test strips, oxygen acts as a competing electron acceptor and the corresponding reaction will vary depending on the partial pressure of oxygen (pO2) in blood samples. High pO2 is most common in the critically ill, or in patients receiving oxygen therapy or undergoing surgery. These patients will show erroneously low glucose levels. Low pO2 is common in neonates or patients at high altitudes and glucose readings will be anomalously high. Although GO is still widely used today there has been an increase in glucose biosensors which use a variety of GDH enzymes as an alternative. However, GDH enzymes are not as specific as GO. For example, commercially available PQQ-GDH enzymes exhibit a high level of activity against sugars such as maltose, galactose and xylose. Maltose is a disaccharide formed from two glucose molecules and is found in certain immunoglobulin products. Additionally, icodextrin used in peritoneal dialysis is metabolized to produce maltose. Galactose and xylose are found in certain foods, herbs, and nutritional supplements, and are also used in diagnostic tests. Biosensors incorporating PQQ-GDH should not be used in patients who may have these sugars in their blood as they can lead to dangerously misleading glucose results. FAD GDH has a much improved specificity for maltose and galactose compared to PQQ GDH but still suffers from some interference against xylose which may preclude its use with patients who are undergoing xylose absorption tests. Techniques such as site directed mutagenesis are increasingly being used to attempt to produce novel FAD GDH enzymes with improved specificity to xylose. Table 1 shows the reaction of GO and various GDH enzymes with various sugars at 30mM. The results are expressed as the % of activity compared to the activity on glucose Table 1 Sekisui GO HPS300 Sekisui FAD GDH Competitor FAD GDH Competitor NAD GDH Competitor PQQ GDH L-Glucose 0.00006% 0.09% 0.09% 0.00% 0.00% Mannitol 0.00005% 0.08% 0.16% 0.00% 0.00% Sucrose 0.00009% 0.03% 0.12% 0.00% 0.00% Trehalose 0.00002% 0.16% 0.12% 0.00% 0.00% Sorbitol 0.0007% 0.06% 0.03% 0.08% 0.20% Fructose 0.002% 0.12% 0.16% 0.30% 1.37% Xylose 0.042% 10.76% 16.04% 3.36% 11.24% Galactose 0.10% 0.67% 0.77% 0.51% 13.41% Maltose 0.004% 0.02% 0.15% 0.46% 99.07% Ribose 0.00008% 0.05% 0.12% 0.00% 6.07% Mannose 0.26% 0.43% 0.79% 1.04% 10.85% Lactose 0.00005% 0.07% 0.20% 0.31% 61.20% 61.20% 10.85% 99.07% 13.41% 11.24% 16.04% 10% 10.76% Specificity as measured versus activity against glucose 9% 8% 7% 6% 5% 4% 3% 2% 1% 0% Xylose Galactose Maltose Ribose Sekisui GO HPS300 Sekisui FAD GDH Competitor NAD GDH Competitor PQQ GDH Mannose Lactose Competitor FAD GDH Interference from contaminating enzymes An example of how contaminating enzymes can cause false signals is in the case of the presence of the enzyme cellulase in GO or GDH. Various forms of cellulose are commonly included in inks for screen printing of biosensor elements to enhance the rheological properties of the ink. Fungal enzymes such as GO from Aspergillus niger are prone to contamination with cellulase. If such enzyme preparations are added to inks, the cellulose is rapidly degraded, resulting in loss of desired rheological properties of the ink paste and the potential for false positives due to glucose release. Use of a highly sensitive, viscometer based, cellulase assay has enabled Sekisui to develop a proprietary purification process to manufacture GO products with very low levels of cellulase. Figure 1 shows the removal of cellulase throughout the GO HPS300 manufacturing process as evaluated using this viscometer method. This method has also been used to show that our other biosensor grade enzymes contain measurable levels of cellulase contamination which might be significant in generating a false glucose signal. Figure 1 cPs Decrease in Viscosity in 24 Hours per 1000 Units 1,000 800 166,667 600 400 566 394 200 176 9 Step 3 Final Product 0 Starting material Step 1 Step 2 Sekisui biosensor grade GO and GDH enzymes are assayed for a wide range of contaminating activities to ensure that consistently low levels are achieved in every batch of product. Purity As biosensors are becoming increasing miniaturized it is even more important than usual that the enzyme used has a high Specific Activity and good solubility, if it is sold as a freeze dried powder. Only a relatively small drop of enzyme can be deposited on the surface of the biosensor and therefore it is crucial that the enzyme can be prepared at a high enough concentration to deposit sufficient units of activity. Batch to batch consistency in terms of both powder activity and Specific Activity are also important. This ensures that, when changing between different lots of enzyme, similar amounts of any additives in the powder and similar amounts of protein are added when depositing the required amount of activity on the strip. This helps to prevent the need to re-calibrate glucose meters for every new batch of strips. Stability Another factor of importance in enzymes for use in biosensors includes stability both at high temperatures and across a range of pH values. Temperature stability is of particular importance for application where the enzyme is dried down on the strip at elevated temperatures and it is also important to ensure that the enzyme activity remains at the required level throughout the shelf life of the biosensor. Datasheets are available for Sekisui enzymes showing details of pH and temperature stability which can aid in choosing a suitable enzyme for your application. Km and turnover number With highly purified enzymes the turnover number reflects the number of substrate molecules converted in unit time by a single enzyme molecule and therefore with the increasing drive to make biosensors with increasingly rapid response times it is important to choose enzymes with a high turnover number. The Michaelis-Mentent constant (Km) for a given enzyme provides an indication of the binding strength of that enzyme to its substrate. A high Km indicates that the enzyme binds the substrate weakly. Conversely, a low Km indicates a higher affinity for the substrate. In general it is good to choose an enzyme with a low Km when it is to be used in an end point assay and to choose an enzyme with a higher Km when it is to be used in a kinetic assay. When choosing an enzyme for use in a biosensor it is important that the Km value is close to or higher than the top end of the measuring range.
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