Literature DB >> 18613051

A new approach for modeling cellulase-cellulose adsorption and the kinetics of the enzymatic hydrolysis of microcrystalline cellulose.

B Nidetzky1, W Steiner.   

Abstract

Two fractions of substrate in microcrystalline cellulose which differ in their adsorption capacities for the cellulases and their susceptibility to enzymatic attack have been identified. On the basis of a two-substrate hypothesis, mathematical models to describe enzyme adsorption and the kinetics of hydrolysis have been derived. A new nonequilibrium approach was chosen to predict cellulase-cellulose adsorption. A maximum binding capacity of 76 mg protein per gram substrate and a half-maximum saturation constant of 26 filter paper units (FPU) per gram substrate have been calculated, and a linear relationship of hydrolysis rate vs. adsorbed protein has been found. The fraction of substrate more easily hydrolyzed, as calculated from hydrolysis data, represents 19% of the total effective substrate concentration. This fraction is only slightly different from that of other celluloses and has been estimated to be 27% and 30% for NaOH- and H(3)PO(4)-swollen cellulose, respectively. The effective substrate concentration is equal to the maximum amount of the substrate which can be converted during exhaustive hydrolysis. This in turn is determined by the overall degradability of the substrate by the cellulases (85-90% for microcrystalline cellulose) and by the cellobiose concentration during hydrolysis. The kinetic model is based on a summation of two integrated first-order reactions with respect to the effective substrate concentration. Furthermore, it includes the principal factors influencing the reaction rates: the ratio of filter paper and beta-glucosidase units per gram substrate and the initial substrate concentration. ( (c) 1993 John Wiley & Sons, Inc.

Entities:  

Year:  1993        PMID: 18613051     DOI: 10.1002/bit.260420410

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  7 in total

Review 1.  Microbial cellulose utilization: fundamentals and biotechnology.

Authors:  Lee R Lynd; Paul J Weimer; Willem H van Zyl; Isak S Pretorius
Journal:  Microbiol Mol Biol Rev       Date:  2002-09       Impact factor: 11.056

2.  Origin of initial burst in activity for Trichoderma reesei endo-glucanases hydrolyzing insoluble cellulose.

Authors:  Leigh Murphy; Nicolaj Cruys-Bagger; Heidi Delcomyn Damgaard; Martin J Baumann; Søren Nymand Olsen; Kim Borch; Søren Flensted Lassen; Matt Sweeney; Hirosuke Tatsumi; Peter Westh
Journal:  J Biol Chem       Date:  2011-11-22       Impact factor: 5.157

3.  Two-parameter kinetic model based on a time-dependent activity coefficient accurately describes enzymatic cellulose digestion.

Authors:  Maxim Kostylev; David Wilson
Journal:  Biochemistry       Date:  2013-07-24       Impact factor: 3.162

4.  Practical screening of purified cellobiohydrolases and endoglucanases with α-cellulose and specification of hydrodynamics.

Authors:  Gernot Jäger; Zhuojun Wu; Kerstin Garschhammer; Philip Engel; Tobias Klement; Roberto Rinaldi; Antje C Spiess; Jochen Büchs
Journal:  Biotechnol Biofuels       Date:  2010-08-18       Impact factor: 6.040

5.  Development of modified HCH-1 kinetic model for long-term enzymatic cellulose hydrolysis and comparison with literature models.

Authors:  Chao Liang; Chao Gu; Jonathan Raftery; M Nazmul Karim; Mark Holtzapple
Journal:  Biotechnol Biofuels       Date:  2019-02-18       Impact factor: 6.040

6.  Stochastic modelling of cellulose hydrolysis with Gauss and Weibull distributed transition probabilities.

Authors:  Joseph Mcgreg Duru; Oana Cristina Pârvulescu; Tănase Dobre; Cristian Eugen Răducanu
Journal:  Sci Rep       Date:  2021-05-04       Impact factor: 4.379

7.  Catalase improves saccharification of lignocellulose by reducing lytic polysaccharide monooxygenase-associated enzyme inactivation.

Authors:  Brian R Scott; Hong Zhi Huang; Jesper Frickman; Rune Halvorsen; Katja S Johansen
Journal:  Biotechnol Lett       Date:  2015-11-05       Impact factor: 2.461

  7 in total

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