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响应面法优化棕壤茶园专用解磷微生物菌剂制备工艺 被引量:2

Optimization of Preparation Technology for Special Phosphate Solubilizing Microorganism Agent in Brown Soil Tea Garden by Response Surface Methodology
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摘要 采用响应面法对棕壤茶园专用解磷微生物菌剂的制备工艺进行优化选择。试验通过PlackettBurman设计获得了影响茶园微生物菌剂制备的3个关键因素:水与载体比值(X1)、发酵温度(X4)、烘干温度(X7)。然后利用最陡爬坡试验、中心组合试验以及响应面分析法,建立了以菌剂有效活菌数为响应值的二次回归模型。该模型预测的菌剂最大有效活菌数为5.01×10^(10)个/g,最佳制备工艺条件为:水/载体(体积比)=1.8,菌液接种量为载体量的12.5%,发酵温度和烘干温度分别为30℃和41℃。采用上述优化工艺条件制备的菌剂,其有效活菌数达到5.19×10^(10)个/g,与模型预测的最大值基本相符,说明该预测模型准确可靠。 The response surface methodology was used to optimize the preparation technology for special phosphate solubilizing microorganism agent in brown soil tea garden. Three key factors that affected the preparation technology were screened out by Plackett-Burman design,including the ratio of water to carrier( X1) 、fermentation temperature( X4) and drying temperature( X7). A quadratic regression equation model was established according to the steepest ascent experiment,central composite design and response surface methodology with the number of effective living bacteria in agent as response value. The maximum number of effective living bacteria predicted by this model was 5. 01 × 10^10 per gram and the optimal preparation conditions were as follows: the ratio of water to carrier as 1. 8,the amount of bacterial inoculation to carrier as 12. 5% and the fermentation and drying temperature as 30℃ and 41℃ respectively. Under the optimization process conditions,the number of effective living bacteria in agent reached 5. 19 × 10^10 per gram,which was basically con-sistent with the predicted maximum value. These results suggested that the prediction model was reliable.
出处 《山东农业科学》 2016年第3期56-61,共6页 Shandong Agricultural Sciences
基金 山东省现代农业技术创新体系茶叶团队专项 泰安生态茶园关键技术集成研究及产业化示范(201340629) 泰安市大学生科技创新行动计划(2014D010) 山东农业大学青年科技创新基金(02023826)
关键词 茶园 解磷微生物菌剂 制备工艺 响应面法 Tea garden Phosphate solubilizing microorganism agent Preparation technology Response surface methodology
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