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|Storage Temperature:||Below -10oC|
|Stability:||> 10 years under recommended storage conditions|
|Substrate For (Enzyme):||β-Glucosidase|
High purity 1,4-β-D-Glucosyl-D-Mannose for use in research, biochemical enzyme assays and in vitro diagnostic analysis.
(Aspergillus niger) E-CELBA - Cellulase (endo-1,4-β-D-glucanase)
(Bacillus amyloliquefaciens) E-CELTE - Cellulase (endo-1,4-β-D-glucanase)
(Talaromyces emersonii) E-CELTH - Cellulase (endo-1,4-β-D-glucanase)
(Thermobifida halotolerans) E-CELTR - Cellulase (endo-1,4-β-D-glucanase)
(Trichoderma longibrachiatum) E-CELTM - Cellulase (endo-1,4-β-D-glucanase)
(Thermotoga maritima) E-BMANN - endo-1,4 β-Mannanase (Aspergillus niger) E-BMABS - endo-1,4 β-Mannanase (Bacillus sp.) E-BMABC - endo-1,4-β-Mannanase (Bacillus circulans) E-BMACJ - endo-1,4 β-Mannanase (Cellvibrio japonicus) E-BMATM - endo-1,4 β-Mannanase (Thermotoga maritima) E-BGLUC - β-Glucosidase (Aspergillus niger) E-BGOSAG - β-Glucosidase (Agrobacterium sp.) E-BGOSPC - β-Glucosidase (Phanerochaete chrysosporium) E-BGOSTM - β-Glucosidase (Thermotoga maritima) E-EXBGOS - exo-1,3-β-D-Glucanase + β-Glucosidase
Mechelke, M., Herlet, J., Benz, J. P., Schwarz, W. H., Zverlov, V. V., Liebl, W. & Kornberger, P. (2017). Analytical and Bioanalytical Chemistry, 1-13.
The rising importance of accurately detecting oligosaccharides in biomass hydrolyzates or as ingredients in food, such as in beverages and infant milk products, demands for the availability of tools to sensitively analyze the broad range of available oligosaccharides. Over the last decades, HPAEC-PAD has been developed into one of the major technologies for this task and represents a popular alternative to state-of-the-art LC-MS oligosaccharide analysis. This work presents the first comprehensive study which gives an overview of the separation of 38 analytes as well as enzymatic hydrolyzates of six different polysaccharides focusing on oligosaccharides. The high sensitivity of the PAD comes at cost of its stability due to recession of the gold electrode. By an in-depth analysis of the sensitivity drop over time for 35 analytes, including xylo- (XOS), arabinoxylo- (AXOS), laminari- (LOS), manno- (MOS), glucomanno- (GMOS), and cellooligosaccharides (COS), we developed an analyte-specific one-phase decay model for this effect over time. Using this model resulted in significantly improved data normalization when using an internal standard. Our results thereby allow a quantification approach which takes the inevitable and analyte-specific PAD response drop into account.Hide Abstract