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Conflict of Interest: In relation to this article, we declare that there is no conflict of interest.

Publication history: Received September 3, 2009
Accepted November 30, 2009

This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Modeling and optimization of cutinase production by recombinant Escherichia coli based on statistical experimental designs

Jianghua Li^{1 2} Long Liu^{1 2} Jing Wu³ Jun Sun⁴ Guocheng Du^{1 2} Jian Chen^{1 3} Wenyi Tao^{1 2†}

¹School of Biotechnology, Jiangnan University, Wuxi 214122, China ²Key Laboratory of Industrial Biotechnology, Ministry of Education, Jiangnan University, Wuxi 214122, China ³State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China ⁴Institute of Information Technology, Jiangnan University, Wuxi 214122, China

Korean Journal of Chemical Engineering, July 2010, 27(4), 1233-1238(6), 10.1007/s11814-010-0195-6

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Abstract

Statistics-based experiment designs were used to optimize the culture medium (glucose, yeast extract, IPTG, tween-60, and CaCl2) for cutinase production by recombinant Escherichia coli. A 2^(5-1) fractional factorial design augmented with center points revealed that glucose, yeast extract, and IPTG were the most significant factors, whereas the other factors were not important within the levels tested. The method of steepest ascent was used to approach the proximity of optimum, followed by a central composite design to develop a response surface for culture condition optimization. The optimum culture medium for cutinase production was found to be: glucose 33. 92 g/L, yeast extract 30.92 g/L, and IPTG 0.76 g/L. A cutinase production of 145.27±1.5 U/mL, which was in agreement with the prediction, was observed in triplicate verification experiments. The results obtained here verified the effectiveness of the applied methodology_x000D_ and may be helpful for cutinase production on an industrial scale.

Keywords

Cutinase Recombinant Escherichia coli Optimization Statistical-based Experimental Design

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