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混料设计优化复合菌剂比例的研究
引用本文:魏大鹏,单洪伟,马甡,张家松.混料设计优化复合菌剂比例的研究[J].南方水产,2014(1):86-91.
作者姓名:魏大鹏  单洪伟  马甡  张家松
作者单位:[1]中国海洋大学教育部海水养殖重点实验室,山东青岛266003 [2]中国水产科学研究院南海水产研究所,广东广州510300
基金项目:国家科技支撑计划项目(2011BAD13B10);江苏省科技计划项目(BN2011029)
摘    要:采用混料设计(Mixture)对复合菌比例进行优化,测定了3株芽孢杆菌(Bacillus spp.)和1株溶藻弧菌(Vibrio alginolyticus)不同比例搭配对细菌生长的光密度(OD)、氨氮和亚硝氮去除率的影响,建立了各搭配比例与试验指标之间的回归方程。使用Design Expert 8.0的优化功能(Optimization)对满足所有期望的响应值进行优化,得到复合菌的最优比例为芽孢杆菌BD6株 5.2%、BZ5株22%、溶藻弧菌VZ5 株72.8%。对该最优比例进行验证试验,得到的结果与预测基本一致。按上述比例搭配的复合菌株在第24 小时即可获得较高的氨氮和亚硝氮去除率,第72 小时的氨氮去除率为98.37%、亚硝氮去除率为93.81%。混料设计和调优软件可用于混合菌中多组分和多目标参数优化,以获得最优的复合菌比例组合。

关 键 词:混料设计  复合菌剂  氨氮  亚硝氮  优化

Optimization of formula of compound bacteria preparation using mixture design
WEI Dapeng,SHAN Hongwei,MA Shen,ZHANG Jiasong.Optimization of formula of compound bacteria preparation using mixture design[J].South China Fisheries Science,2014(1):86-91.
Authors:WEI Dapeng  SHAN Hongwei  MA Shen  ZHANG Jiasong
Institution:1. Key Lab. of Mariculture, Ministry of Education,Ocean University of China, Qingdao 266003,China;2. South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300,China
Abstract:Using mixture design to optimize formula of mixed bacteria, we studied the effects of 4 strains of bacteria on OD600, ammonia and nitrite removal rate, and established a regression model. Through the equation analysis and optimization of Design Expert 8.0, the response values satisfying all expectations were optimized, and the most excellent combinations of Bacillus sp. BD6, Bacillus sp. BZ5 and Vibrio alginolyticus VZ5 were 5.2%, 22% and 72.8%, respectively. The result of verification experiment on the formulation was consistent with the prediction. Ammonia and nitrite removal rate by the mixed bacteria was higher at 24th hour, our reaching 98.37% and 93.81% at 72th hour, respectively. Mixture design and analysis software can optimize the formulation of mixed bacteria for several responses and obtain the best formulation.
Keywords:mixture design  compound bacteria preparation  ammonia  nitrite  optimization
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