Monday, May 5, 2008
7-18

Kinetic modeling of batch fermentation for succinic acid production by Mannheimia succiniciproducens

Hyohak Song, Jong Myoung Park, Sol Choi, and Sang Yup Lee. Metabolic and Biomolecular Engineering National Research Laboratory, Department of Chemical and Biomolecular Engineering (BK21 program), BioProcess Engineering Research Center, Center for Systems and Synthetic Biotechnology, Department of BioSystems and Bioinformatics Research Center, Institute for the Biocentury, Korea Advanced Institute of Science and Technology (KAIST), 335 Gwahangno, Yuseong-gu, Daejeon, South Korea

This study presents kinetic models that described the batch production of succinic acid from glucose by Mannheimia succiniciproducens MBEL55E. Experimental data collected from batch fermentations with different initial glucose concentrations were used to estimate parameters. The optimal values of the parameters were determined by minimizing the discrepancy between predictions and experimental results. The growth of M. succiniciproducens could be described by a modified Monod model combining inhibitions of glucose and organic acids accumulated in the culture broth. The Luedeking-Piret model well presented the formation of organic acids, in which succinic, acetic, and formic acids followed a mixed-growth-associated pattern. Interestingly, lactic acid fermentation by M. succiniciproducens was nearly nongrowth-associated unlike most lactic acid producing-bacteria. In all cases, the models agreed well with the experimental observations, and therefore, enabled to explain the fermentative characteristics of M. succiniciproducens in production of succinic acid from glucose. The models developed in this study can be used as good tools for development and optimization of a biobased succinic acid production process in M. succiniciproducens. [This work was supported by the Korea Science and Engineering Foundation (KOSEF) grant funded by the Korea government (MOST) (2005-01294). Further supports by the LG Chem Chair Professorship, IBM SUR program, Microsoft, and by the KOSEF through the Center for Ultramicrochemical Process Systems are appreciated.].

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