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Modeling the Growth of Clostridium beijerinckii NCIMB 8052 on Lignocellulosic Sugars

Abstract

To our knowledge, this is the first growth model of Clostridium beijerinckii NCIMB 8052 on glucose and xylose as representative lignocellulosic sugars, which considers the synergistic effects of sugars on the growth rate. We fitted models with different types of interactions between the substrates to the growth rate data obtained with varying sugar concentrations. Noncompetitive binary substrate growth model gave the best fit with the smallest mean standard errors (MSE), and sum of squares error (SSE), 0.0778 and 0.0071, respectively. Confidence intervals for the parameter estimates showed that the substrate affinity constant for xylose, KsX (g/l) had the largest uncertainty, while the maximum specific growth rate on xylose, μmaxX (h-1) had the smallest. The correlation matrix showed that the model parameters were highly correlated. Carbon catabolite repression (CCR) effect on the growth rate was of the noncompetitive type. Validation with other sugar concentration values is necessary to evaluate the prediction capability of the proposed model. A transcriptional study will be beneficial to understand global gene regulation mechanisms as guidance for improving the efficiency of lignocellulosic fermentation processes.
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Category

Academic article

Language

English

Affiliation

  • SINTEF Industry / Biotechnology and Nanomedicine
  • SINTEF Industry / Metal Production and Processing
  • Norwegian University of Science and Technology

Year

2018

Published in

Chemical Engineering Transactions

ISSN

1974-9791

Volume

65

Page(s)

289 - 294

View this publication at Norwegian Research Information Repository