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Journal of Zhejiang University SCIENCE B 2007 Vol.8 No.2 P.98~104


Application of response surface methodology in medium optimization for pyruvic acid production of Torulopsis glabrata TP19 in batch fermentation

Author(s):  ZHANG Jian, GAO Nian-fa

Affiliation(s):  Tianjin Key Lab of Industrial Microbiology, College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, China

Corresponding email(s):   zj96sk@163.com

Key Words:  Response surface methodology, Torulopsis glabrata, Pyruvic acid, Fermentation, Medium optimization

ZHANG Jian, GAO Nian-fa. Application of response surface methodology in medium optimization for pyruvic acid production of Torulopsis glabrata TP19 in batch fermentation[J]. Journal of Zhejiang University Science B, 2007, 8(2): 98~104.

@article{title="Application of response surface methodology in medium optimization for pyruvic acid production of Torulopsis glabrata TP19 in batch fermentation",
author="ZHANG Jian, GAO Nian-fa",
journal="Journal of Zhejiang University Science B",
publisher="Zhejiang University Press & Springer",

%0 Journal Article
%T Application of response surface methodology in medium optimization for pyruvic acid production of Torulopsis glabrata TP19 in batch fermentation
%A GAO Nian-fa
%J Journal of Zhejiang University SCIENCE B
%V 8
%N 2
%P 98~104
%@ 1673-1581
%D 2007
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2007.B0098

T1 - Application of response surface methodology in medium optimization for pyruvic acid production of Torulopsis glabrata TP19 in batch fermentation
A1 - ZHANG Jian
A1 - GAO Nian-fa
J0 - Journal of Zhejiang University Science B
VL - 8
IS - 2
SP - 98
EP - 104
%@ 1673-1581
Y1 - 2007
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2007.B0098

response surface methodology (RSM) was used to optimize the fermentation medium for enhancing pyruvic acid production by Torulopsis glabrata TP19. In the first step of optimization, with Plackett-Burman design, ammonium sulfate, glucose and nicotinic acid were found to be the important factors affecting pyruvic acid production significantly. In the second step, a 23 full factorial central composite design and RSM were applied to determine the optimal concentration of each significant variable. A second-order polynomial was determined by the multiple regression analysis of the experimental data. The optimum values for the critical components were obtained as follows: ammonium sulfate 0.7498 (10.75 g/L), glucose 0.9383 (109.38 g/L) and nicotinic acid 0.3633 (7.86 mg/L) with a predicted value of maximum pyruvic acid production of 42.2 g/L. Under the optimal conditions, the practical pyruvic acid production was 42.4 g/L. The determination coefficient (R2) was 0.9483, which ensures adequate credibility of the model. By scaling up fermentation from flask to jar fermentor, we obtained promising results.

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


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