The Optimization of Medium for Coenzyme Q<sub>10</sub> Fermentation by Artificial Neural Network associated with Genetic Algorithms

China Biotechnology

2013, Vol. 33

Issue (9): 73-78 DOI:

The Optimization of Medium for Coenzyme Q₁₀ Fermentation by Artificial Neural Network associated with Genetic Algorithms

ZHOU Yong, ZHENG Yi, SONG Li-dan

Engineering Research Centre of Industrial Microbiology Under Ministry of Education, College of Life Sciences, Fujian Normal University, Fuzhou 350108 China

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Abstract In order to improve the yield of Coenzyme Q₁₀ produced by Rhodobacter sphaeroides F3-40. First, the reasonable concentration ranges of 4 important medium components were determined by single-factor experiments. On the basis of the above results, uniform design method was adopted to optimize their combination. Square stepwise regression analyses, artificial neural network associated with genetic algorithms optimization (ANN-GA) were used to optimize their concentrations respectively. From results, the ANN-GA showed better optimization effect. In the end, the yield of Coenzyme Q₁₀ by ANN-GA reached 245mg/L, increased 10.86%,16.11% and 63.33% more than that of square stepwise regression analysis (221mg/L), single-factor analysis (211 mg/L) and the primary (150mg/L) respectively.

Key words： Coenzyme Q₁₀ Artificial neural network Genetic algorithms Uniform design method

Received: 23 April 2013 Published: 25 September 2013

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ZHOU Yong, ZHENG Yi, SONG Li-dan. The Optimization of Medium for Coenzyme Q₁₀ Fermentation by Artificial Neural Network associated with Genetic Algorithms. China Biotechnology, 2013, 33(9): 73-78.

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https://manu60.magtech.com.cn/biotech/ OR https://manu60.magtech.com.cn/biotech/Y2013/V33/I9/73

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