Combination of uniform design with artificial neural network coupling genetic algorithm: an effective way to obtain high yield of biomass and algicidal compound of a novel HABs control actinomycete

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	Combination of uniform design with artificial neural network coupling genetic algorithm: an effective way to obtain high yield of biomass and algicidal compound of a novel HABs control actinomycete
	Cai, Guanjing ; Zheng, Wei ; Yang, Xujun ; Zhang, Bangzhou ; Zheng, Tianling ; Zheng W(郑炜) ; Zheng TL(郑天凌)
刊名	http://dx.doi.org/10.1186/1475-2859-13-75
	2014-05-24
关键词	ALEXANDRIUM-TAMARENSE MARINE BACTERIUM HIDDEN NEURONS RED TIDE OPTIMIZATION FERMENTATION INHIBITION NUMBER SEA
英文摘要	National Natural Science Foundation [40930847, 41376119]; Public Science and Technology Research Funds for Projects on the Ocean [201305016, 201305022]; Science and Technology Innovation Funds of Shenzhen [JCYJ20120615161239998]; Controlling harmful algae blooms (HABs) using microbial algicides is cheap, efficient and environmental-friendly. However, obtaining high yield of algicidal microbes to meet the need of field test is still a big challenge since qualitative and quantitative analysis of algicidal compounds is difficult. In this study, we developed a protocol to increase the yield of both biomass and algicidal compound present in a novel algicidal actinomycete Streptomyces alboflavus RPS, which kills Phaeocystis globosa. To overcome the problem in algicidal compound quantification, we chose algicidal ratio as the index and used artificial neural network to fit the data, which was appropriate for this nonlinear situation. In this protocol, we firstly determined five main influencing factors through single factor experiments and generated the multifactorial experimental groups with a U-15(15(5)) uniform-design-table. Then, we used the traditional quadratic polynomial stepwise regression model and an accurate, fully optimized BP-neural network to simulate the fermentation. Optimized with genetic algorithm and verified using experiments, we successfully increased the algicidal ratio of the fermentation broth by 16.90% and the dry mycelial weight by 69.27%. These results suggested that this newly developed approach is a viable and easy way to optimize the fermentation conditions for algicidal microorganisms.
语种	英语
出版者	BIOMED CENTRAL LTD
内容类型	期刊论文
源URL	[http://dspace.xmu.edu.cn/handle/2288/92684]
专题	信息技术－已发表论文
推荐引用方式 GB/T 7714	Cai, Guanjing,Zheng, Wei,Yang, Xujun,et al. Combination of uniform design with artificial neural network coupling genetic algorithm: an effective way to obtain high yield of biomass and algicidal compound of a novel HABs control actinomycete[J]. http://dx.doi.org/10.1186/1475-2859-13-75,2014.
APA	Cai, Guanjing.,Zheng, Wei.,Yang, Xujun.,Zhang, Bangzhou.,Zheng, Tianling.,...&郑天凌.(2014).Combination of uniform design with artificial neural network coupling genetic algorithm: an effective way to obtain high yield of biomass and algicidal compound of a novel HABs control actinomycete.http://dx.doi.org/10.1186/1475-2859-13-75.
MLA	Cai, Guanjing,et al."Combination of uniform design with artificial neural network coupling genetic algorithm: an effective way to obtain high yield of biomass and algicidal compound of a novel HABs control actinomycete".http://dx.doi.org/10.1186/1475-2859-13-75 (2014).