Kinetic study of substrate dependency for higher butanol production in acetone-butanol-ethanol fermentation

被引:64
作者
Shinto, Hideaki [1 ]
Tashiro, Yukihiro [1 ]
Kobayashi, Genta [2 ]
Sekiguchi, Tatsuya [3 ]
Hanai, Taizo [4 ]
Kuriya, Yuki [4 ]
Okamoto, Masahiro [4 ,5 ]
Sonomoto, Kenji [1 ,6 ]
机构
[1] Kyushu Univ, Grad Sch,Higashi Ku, Fac Agr,Div Microbial Sci & Technol, Dept Biosci & Biotechnol,Lab Microbial Technol, Fukuoka 8128581, Japan
[2] Saga Univ, Ariake Sea Res Project, Div Microbial Technol, Saga 8408502, Japan
[3] Maebashi Inst Technol, Fac Engn, Dept Informat Engn, Maebashi, Gunma 3700816, Japan
[4] Kyushu Univ, Grad Sch Syst Life Sci, Lab Bioinformat, Higashi Ku, Fukuoka 8128581, Japan
[5] Kyushu Univ, Bioarchitecture Ctr, Dept Biosyst Design, Lab Bioproc Design,Higashi Ku, Fukuoka 8128581, Japan
[6] Kyushu Univ, Bioarchitecture Ctr, Dept Funct Metab Design, Lab Funct Food Design,Higashi Ku, Fukuoka 8128581, Japan
关键词
Acetone-butanol-ethanol fermentation; WinBEST-KIT; Kinetic model; Sensitivity analysis; Substrate consumption rate;
D O I
10.1016/j.procbio.2008.06.003
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
A kinetic simulation model of acetone-butanol-ethanol (ABE) fermentation of xylose (Model(XYL)) Was proposed by Substituting Embden-Meyerhof-Parnas (EMP) pathway equations in the glucose model (Model(GLC)) by pentose phosphate (PP) pathway equations of xylose utilization. We estimated the equation parameters of the PP pathway and set other equation parameters to the same as those in Model(GLC), by which Model(XYL) exhibited an r(2) value of 0.901 between the experimental time course of metabolites with initial xylose concentrations ranging from 40.7 to 292 mM and the calculated values. The results with the developed model Suggested that Clostridium saccharoperbutylacetonicum N1-4 has a robust metabolic network in acid- and solvent-producing pathways. Furthermore, sensitivity analysis revealed that Slow Substrate utilization would be effective for higher butanol production; this coincided with the experimental results. Therefore, we consider the proposed model to be one of the best kinetic simulation candidates describing the dynamic metabolite behavior in ABE production. (c) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1452 / 1461
页数:10
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