Literature DB >> 19061240

Kinetic modeling for enzymatic hydrolysis of pretreated creeping wild ryegrass.

Yi Zheng1, Zhongli Pan, Ruihong Zhang, Bryan M Jenkins.   

Abstract

A semimechanistic multi-reaction kinetic model was developed to describe the enzymatic hydrolysis of a lignocellulosic biomass, creeping wild ryegrass (CWR; Leymus triticoides). This model incorporated one homogeneous reaction of cellobiose-to-glucose and two heterogeneous reactions of cellulose-to-cellobiose and cellulose-to-glucose. Adsorption of cellulase onto pretreated CWR during enzymatic hydrolysis was modeled via a Langmuir adsorption isotherm. This is the first kinetic model which incorporated the negative role of lignin (nonproductive adsorption) using a Langmuir-type isotherm adsorption of cellulase onto lignin. The model also reflected the competitive inhibitions of cellulase by glucose and cellobiose. The Matlab optimization function of "lsqnonlin" was used to fit the model and estimate kinetic parameters based on experimental data generated under typical conditions (8% solid loading and 15 FPU/g-cellulose enzyme concentration without the addition of background sugars). The model showed high fidelity for predicting cellulose hydrolysis behavior over a broad range of solid loading (4-12%, w/w, dry basis), enzyme concentration (15-150 FPU/ g-cellulose), sugar inhibition (glucose of 30 and 60 mg/mL and cellobiose of 10 mg/mL). In addition, sensitivity analysis showed that the incorporation of the nonproductive adsorption of cellulase onto lignin significantly improved the predictability of the kinetic model. Our model can serve as a robust tool for developing kinetic models for system optimization of enzymatic hydrolysis, hydrolysis reactor design, and/or other hydrolysis systems with different type of enzymes and substrates. 2008 Wiley Periodicals, Inc.

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Year:  2009        PMID: 19061240     DOI: 10.1002/bit.22197

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


  8 in total

1.  Kinetic modeling of rapid enzymatic hydrolysis of crystalline cellulose after pretreatment by NMMO.

Authors:  Mahdi Khodaverdi; Azam Jeihanipour; Keikhosro Karimi; Mohammad J Taherzadeh
Journal:  J Ind Microbiol Biotechnol       Date:  2011-11-04       Impact factor: 3.346

2.  Kinetic model supported improved and optimized submerged production strategy of cellulase enzyme from newspaper waste biomass.

Authors:  Pinaki Dey; Sankha Chakrabortty; Dibyajyoti Haldar; A Sowmya; Vivek Rangarajan; Héctor A Ruiz
Journal:  Bioprocess Biosyst Eng       Date:  2022-06-24       Impact factor: 3.434

3.  Impact of pretreatment and downstream processing technologies on economics and energy in cellulosic ethanol production.

Authors:  Deepak Kumar; Ganti S Murthy
Journal:  Biotechnol Biofuels       Date:  2011-09-05       Impact factor: 6.040

4.  Kinetic study of batch and fed-batch enzymatic saccharification of pretreated substrate and subsequent fermentation to ethanol.

Authors:  Rishi Gupta; Sanjay Kumar; James Gomes; Ramesh Chander Kuhad
Journal:  Biotechnol Biofuels       Date:  2012-03-20       Impact factor: 6.040

5.  Stochastic molecular model of enzymatic hydrolysis of cellulose for ethanol production.

Authors:  Deepak Kumar; Ganti S Murthy
Journal:  Biotechnol Biofuels       Date:  2013-05-02       Impact factor: 6.040

6.  Particulate size of microalgal biomass affects hydrolysate properties and bioethanol concentration.

Authors:  Razif Harun; Michael K Danquah; Selvakumar Thiruvenkadam
Journal:  Biomed Res Int       Date:  2014-05-29       Impact factor: 3.411

7.  Stability of commercial glucanase and β-glucosidase preparations under hydrolysis conditions.

Authors:  Oscar Rosales-Calderon; Heather L Trajano; Sheldon J B Duff
Journal:  PeerJ       Date:  2014-06-10       Impact factor: 2.984

8.  A novel film-pore-surface diffusion model to explain the enhanced enzyme adsorption of corn stover pretreated by ultrafine grinding.

Authors:  Haiyan Zhang; Longjian Chen; Minsheng Lu; Junbao Li; Lujia Han
Journal:  Biotechnol Biofuels       Date:  2016-08-30       Impact factor: 6.040

  8 in total

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