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CLC number: Q815

On-line Access: 2012-01-18

Received: 2011-04-23

Revision Accepted: 2011-08-30

Crosschecked: 2012-01-03

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Journal of Zhejiang University SCIENCE B 2012 Vol.13 No.2 P.103-110

10.1631/jzus.B1100134


Optimization of succinic acid fermentation with Actinobacillus succinogenes by response surface methodology (RSM)


Author(s):  Yun-jian Zhang, Qiang Li, Yu-xiu Zhang, Dan Wang, Jian-min Xing

Affiliation(s):  School of Chemical and Environmental Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China; more

Corresponding email(s):   zhangyuxiu@cumtb.edu.cn, jmxing@home.ipe.ac.cn

Key Words:  Succinic acid, Response surface methodology (RSM), Optimization, Actinobacillus succinogenes


Yun-jian Zhang, Qiang Li, Yu-xiu Zhang, Dan Wang, Jian-min Xing. Optimization of succinic acid fermentation with Actinobacillus succinogenes by response surface methodology (RSM)[J]. Journal of Zhejiang University Science B, 2012, 13(2): 103-110.

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author="Yun-jian Zhang, Qiang Li, Yu-xiu Zhang, Dan Wang, Jian-min Xing",
journal="Journal of Zhejiang University Science B",
volume="13",
number="2",
pages="103-110",
year="2012",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.B1100134"
}

%0 Journal Article
%T Optimization of succinic acid fermentation with Actinobacillus succinogenes by response surface methodology (RSM)
%A Yun-jian Zhang
%A Qiang Li
%A Yu-xiu Zhang
%A Dan Wang
%A Jian-min Xing
%J Journal of Zhejiang University SCIENCE B
%V 13
%N 2
%P 103-110
%@ 1673-1581
%D 2012
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.B1100134

TY - JOUR
T1 - Optimization of succinic acid fermentation with Actinobacillus succinogenes by response surface methodology (RSM)
A1 - Yun-jian Zhang
A1 - Qiang Li
A1 - Yu-xiu Zhang
A1 - Dan Wang
A1 - Jian-min Xing
J0 - Journal of Zhejiang University Science B
VL - 13
IS - 2
SP - 103
EP - 110
%@ 1673-1581
Y1 - 2012
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.B1100134


Abstract: 
succinic acid is considered as an important platform chemical. succinic acid fermentation with Actinobacillus succinogenes strain BE-1 was optimized by central composite design (CCD) using a response surface methodology (RSM). The optimized production of succinic acid was predicted and the interactive effects between glucose, yeast extract, and magnesium carbonate were investigated. As a result, a model for predicting the concentration of succinic acid production was developed. The accuracy of the model was confirmed by the analysis of variance (ANOVA), and the validity was further proved by verification experiments showing that percentage errors between actual and predicted values varied from 3.02% to 6.38%. In addition, it was observed that the interactive effect between yeast extract and magnesium carbonate was statistically significant. In conclusion, RSM is an effective and useful method for optimizing the medium components and investigating the interactive effects, and can provide valuable information for succinic acid scale-up fermentation using A. succinogenes strain BE-1.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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