Evidence map›Paper›PMID 30820244›Full record

ArticleBiotechnology for biofuels2019

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

Chao Liang, Chao Gu, Jonathan Raftery, M Nazmul Karim, Mark Holtzapple

Abstract read
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Article in Biotechnology for biofuels, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Chao Liang1Department of Chemical Engineering, Texas A&M University, College Station, TX 77843-3122 USA.
Chao Gu2Department of Educational Psychology, Texas A&M University, College Station, TX 77843-3122 USA.
Jonathan Raftery1Department of Chemical Engineering, Texas A&M University, College Station, TX 77843-3122 USA.
M Nazmul Karim1Department of Chemical Engineering, Texas A&M University, College Station, TX 77843-3122 USA.
Mark Holtzapple1Department of Chemical Engineering, Texas A&M University, College Station, TX 77843-3122 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEnzymatic hydrolysis is a major step for cellulosic ethanol production. A thorough understanding of enzymatic hydrolysis is necessary to help design optimal conditions and economical systems. The original HCH-1 (Holtzapple-Caram-Humphrey-1) model is a generalized mechanistic model for enzymatic cellulose hydrolysis, but was previously applied only to the initial rates. In this study, the original HCH-1 model was modified to describe integrated enzymatic cellulose hydrolysis. The relationships between parameters in the HCH-1 model and substrate conversion were investigated. Literature models for long-term (> 48 h) enzymatic hydrolysis were summarized and compared to the modified HCH-1 model.

resultsA modified HCH-1 model was developed for long-term (> 48 h) enzymatic cellulose hydrolysis. This modified HCH-1 model includes the following additional considerations: (1) relationships between coefficients and substrate conversion, and (2) enzyme stability. Parameter estimation was performed with 10-day experimental data using α-cellulose as substrate. The developed model satisfactorily describes integrated cellulose hydrolysis data taken with various reaction conditions (initial substrate concentration, initial product concentration, enzyme loading, time). Mechanistic (and semi-mechanistic) literature models for long-term enzymatic hydrolysis were compared with the modified HCH-1 model and evaluated by the corrected version of the Akaike information criterion. Comparison results show that the modified HCH-1 model provides the best fit for enzymatic cellulose hydrolysis.

conclusionsThe HCH-1 model was modified to extend its application to integrated enzymatic hydrolysis; it performed well when predicting 10-day cellulose hydrolysis at various experimental conditions. Comparison with the literature models showed that the modified HCH-1 model provided the best fit.

Indexed as

Enzymatic cellulose hydrolysisHCH-1Model comparisonSensitivity analysisSimulation

Identifiers

PMID30820244
PMCPMC6378734

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