Epidemic based modeling of enzymatic hydrolysis of lignocellulosic biomass

Chao Tai, Maria G. Arellano, Deepak R. Keshwani

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

An epidemic based model was developed to describe the enzymatic hydrolysis of a lignocellulosic biomass, dilute sulfuric acid pretreated corn stover. The process of substrate getting adsorbed and digested by enzyme was simulated as susceptibles getting infected by viruses and becoming removed and recovered. This model simplified the dynamic enzyme "infection" process and the catalysis of cellulose into a two-parameter controlled, enzyme behavior guided mechanism. Furthermore, the model incorporates the adsorption block by lignin and inhibition effects on cellulose catalysis. The model satisfactorily predicted the enzyme adsorption and hydrolysis, negative role of lignin, and inhibition effects over hydrolysis for a broad range of substrate and enzyme loadings. Sensitivity analysis was performed to evaluate the incorporation of lignin and other inhibition effects. Our model will be a useful tool for evaluating the effects of parameters during hydrolysis and guide a design strategy for continuous hydrolysis and the associated process control.

Original languageEnglish (US)
Pages (from-to)1021-1028
Number of pages8
JournalBiotechnology Progress
Volume30
Issue number5
DOIs
StatePublished - Sep 1 2014

Keywords

  • Bioconversion
  • Biofuels
  • Enzymatic hydrolysis
  • Kinetic modeling
  • SIR modeling

ASJC Scopus subject areas

  • Biotechnology

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