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Fed-batch Culture of Saccharomyces cerevisiae with Adaptive Control Based on Differential Evolution Algorithm |
ZHANG Xu, DING Jian, GAO Peng, GAO Min-jie, JIA Lu-qiang, TU Ting-yong, SHI Zhong-ping |
The Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi 214122, China |
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Abstract In fed-batch culture of Saccharomyces cerevisiae, excessive glucose addition leads to much ethanol accumulation, destroying structure and function of cell and decreasing glucose utilization efficiency, while insufficient glucose addition limits cell growth. To solve this problem, a self-adaptive control strategy based on differential evolution algorithm was proposed. In addition, performances of the proposed strategy, traditional strategy, were tested and compared using computer simulation. As a result, under the proposed control strategy, ethanol concentration could be maintained at the low level of 1.0g/L, while the biomass concentration could reach to the high level of 34.45g/L, which was 243%, 18% and 29% higher than those under intermittent feed, stepped constant feed and PID control strategy, respectively. In conclusion, the proposed self-adaptive control strategy was capable of controlling glucose feed rate at proper level, and thus ensured the rapid growth of yeast when repressing ethanol accumulation.
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Received: 09 September 2015
Published: 11 January 2016
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