University of Oulu

Petri Tervasmäki, Ville Sotaniemi, Jani Kangas, Sanna Taskila, Heikki Ojamo, Juha Tanskanen, A discretized model for enzymatic hydrolysis of cellulose in a fed-batch process, In Bioresource Technology, Volume 227, 2017, Pages 112-124, ISSN 0960-8524, https://doi.org/10.1016/j.biortech.2016.12.054. (http://www.sciencedirect.com/science/article/pii/S0960852416317242) Keywords: Cellulose; Enzymatic hydrolysis; Kinetic model; Fed-batch

A discretized model for enzymatic hydrolysis of cellulose in a fed-batch process

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Author: Tervasmäki, Petri1; Sotaniemi, Ville1; Kangas, Jani1;
Organizations: 1Chemical Process Engineering, Faculty of Technology, University of Oulu, P.O. Box 4300, FI-90014 Oulun yliopisto, Finland
2Department of Biotechnology and Chemical Technology, School of Chemical Technology, Aalto University, P.O. Box 16100, 00076, Aalto, Finland
Format: article
Version: accepted version
Access: embargoed
Persistent link: http://urn.fi/urn:nbn:fi-fe2017110250476
Language: English
Published: Elsevier, 2017
Publish Date: 2018-12-18
Description:

Abstract

In the enzymatic hydrolysis of cellulose, several phenomena have been proposed to cause a decrease in the reaction rate with increasing conversion. The importance of each phenomenon is difficult to distinguish from batch hydrolysis data. Thus, kinetic models for the enzymatic hydrolysis of cellulose often suffer from poor parameter identifiability. This work presents a model that is applicable to fed-batch hydrolysis by discretizing the substrate based on the feeding time. Different scenarios are tested to explain the observed decrease in reaction rate with increasing conversion, and comprehensive assessment of the parameter sensitivities is carried out. The proposed model performed well in the broad range of experimental conditions used in this study and when compared to literature data. Furthermore, the use of data from fed-batch experiments and discretization of the model substrate to populations was found to be very informative when assessing the importance of the rate-decreasing phenomena in the model.

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Series: Bioresource technology
ISSN: 0960-8524
ISSN-E: 1873-2976
ISSN-L: 0960-8524
Volume: 227
Pages: 112 - 124
DOI: 10.1016/j.biortech.2016.12.054
OADOI: https://oadoi.org/10.1016/j.biortech.2016.12.054
Type of Publication: A1 Journal article – refereed
Field of Science: 220 Industrial biotechnology
Subjects:
Funding: Petri Tervasmäki acknowledges Fortum Foundation for a personal research grant (201500179). Jani Kangas acknowledges the funding of Academy of Finland (project no. 286633).
Academy of Finland Grant Number: 286633
Detailed Information: 286633 (Academy of Finland Funding decision)
Dataset Reference: Supplementary data associated with this article can be found, in the online version, at http://dx.doi.org/10.1016/j.biortech.2016.12.054.
  http://dx.doi.org/10.1016/j.biortech.2016.12.054
Copyright information: © 2016 Elsevier Ltd. All rights reserved