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Empirical modeling of batch fermentation kinetics for poly(glutamic acid) production and other microbial biopolymers
Author(s) -
Richard Andrew,
Margaritis Argyrios
Publication year - 2004
Publication title -
biotechnology and bioengineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.136
H-Index - 189
eISSN - 1097-0290
pISSN - 0006-3592
DOI - 10.1002/bit.20156
Subject(s) - biopolymer , chemistry , fermentation , biomass (ecology) , saturation (graph theory) , kinetics , substrate (aquarium) , poly 3 hydroxybutyrate , chemical engineering , chromatography , biochemistry , polymer , organic chemistry , biology , mathematics , ecology , physics , combinatorics , quantum mechanics , agronomy , engineering
An empirical kinetic model is proposed for the batch production of poly(glutamic acid) from Bacillus subtilis IFO 3335. In addition, the proposed model was used to fit the kinetic data of poly(glutamic acid) production from other bacterial strains using different media, as well as kinetic data from different strains for the production of the exocellular biopolymers dextran, hyaluronic acid, xanthan, alginate, and the endocellular biopolymer polyhydroxybutyrate. The empirical model treats the biopolymer as a component of the biomass and fits the experimental biomass data using a sigmoidal relationship that includes the maximum specific growth rate, μ max , and the substrate saturation parameter, K S . An empirical parameter, the relative coefficient (r), quantifies, in relative terms, the degree of nongrowth‐associated biopolymer formation. © 2004 Wiley Periodicals, Inc.