Literature DB >> 33947888

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

Joseph Mcgreg Duru1, Oana Cristina Pârvulescu2, Tănase Dobre1, Cristian Eugen Răducanu1.   

Abstract

Two Markov-type stochastic models were developed to describe the kinetics of acid hydrolysis of cellulose. One of them involved a Gauss (normal) distribution of probabilities of chemical bond breaking, the other a Weibull distribution. It was considered that the random breaking of cellulose was based on the cleavage of a parent macromolecule into two descendants. Model equations and kinetics of acid hydrolysis of cellulose consisting of 10 and 100 units of cellobiose were presented. The effects of acid concentration and temperature on the kinetics of hydrolysis process were taken into account. The results obtained applying both stochastic models were in a reasonable agreement with those obtained using a deterministic kinetic model. These stochastic models can accurately describe the kinetics of acid hydrolysis and cover the drawbacks of some deterministic kinetic models, e.g., large number of model equations and parameters, modification of parameter values by changing the process conditions.

Entities:  

Year:  2021        PMID: 33947888     DOI: 10.1038/s41598-021-88873-6

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  16 in total

1.  Development and validation of a kinetic model for enzymatic saccharification of lignocellulosic biomass.

Authors:  Kiran L Kadam; Eric C Rydholm; James D McMillan
Journal:  Biotechnol Prog       Date:  2004 May-Jun

Review 2.  Toward an aggregated understanding of enzymatic hydrolysis of cellulose: noncomplexed cellulase systems.

Authors:  Yi-Heng Percival Zhang; Lee R Lynd
Journal:  Biotechnol Bioeng       Date:  2004-12-30       Impact factor: 4.530

3.  Enzymatic kinetics of cellulose hydrolysis: a QCM-D study.

Authors:  Xavier Turon; Orlando J Rojas; Randall S Deinhammer
Journal:  Langmuir       Date:  2008-03-07       Impact factor: 3.882

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

Authors:  B Nidetzky; W Steiner
Journal:  Biotechnol Bioeng       Date:  1993-08-05       Impact factor: 4.530

Review 5.  Modeling cellulase kinetics on lignocellulosic substrates.

Authors:  Prabuddha Bansal; Mélanie Hall; Matthew J Realff; Jay H Lee; Andreas S Bommarius
Journal:  Biotechnol Adv       Date:  2009-07-03       Impact factor: 14.227

6.  Multivariate statistical analysis of X-ray data from cellulose: a new method to determine degree of crystallinity and predict hydrolysis rates.

Authors:  Prabuddha Bansal; Mélanie Hall; Matthew J Realff; Jay H Lee; Andreas S Bommarius
Journal:  Bioresour Technol       Date:  2010-02-20       Impact factor: 9.642

7.  Thermal decomposition of castor oil, corn starch, soy protein, lignin, xylan, and cellulose during fast pyrolysis.

Authors:  Yingyun Qiao; Bo Wang; Yaoyao Ji; Fanfan Xu; Peijie Zong; Jinhong Zhang; Yuanyu Tian
Journal:  Bioresour Technol       Date:  2019-01-23       Impact factor: 9.642

Review 8.  Bioconversion of biomass waste into high value chemicals.

Authors:  Eun Jin Cho; Ly Thi Phi Trinh; Younho Song; Yoon Gyo Lee; Hyeun-Jong Bae
Journal:  Bioresour Technol       Date:  2019-11-09       Impact factor: 9.642

9.  Cellulose and hemicellulose hydrolysis models for application to current and novel pretreatment processes.

Authors:  S E Jacobsen; C E Wyman
Journal:  Appl Biochem Biotechnol       Date:  2000       Impact factor: 2.926

10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.