Open Access

ARTICLE

Development and Optimization of an Unstructured Kinetic Model for Sodium Gluconate Fermentation Process

by

1 Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry ofEducation, East China University of Science and Technology, Shanghai 200237, P. R. China

Computers, Materials & Continua 2015, 48(1), 43-55. https://doi.org/10.3970/cmc.2015.048.043

Abstract

This study proposed a modified unstructured kinetic model for sodium gluconate fermentation by Aspergillus niger. Four specific growth rate equations (Monod, Tessier, Contois, and logistic) were considered in the biomass growth equation. The growth, instantaneous biomass concentration, instantaneous product, and substrate concentration were considered in the equations of product formation and substrate consumption. Option parameters were introduced to determine the form of the unstructured model. A double-nested optimization strategy was proposed to optimize the option and kinetic parameters. The proposed unstructured kinetic model based on the estimated optimal parameters efficiently simulated sodium gluconate fermentation. The obtained option parameters of the kinetic model indicated that the Monod equation-based unstructured model displayed better performance than the three other specific growth rate equation-based kinetic models.

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