响应面分析法优化副溶血性弧菌生长条件

Optimization of Growth Condition of Vibrio parahaemolyticus via Response Surface Methodology

摘要:

通过单因素分析, 确定最适于副溶血性弧菌VPJ33生长的pH、温度和盐度。在此基础上, 综合考虑3个因素对VPJ33生长的影响, 用Design-Expert软件进行响应面分析, 优化VPJ33的培养条件得到了菌体生长模型, 以及取得模型最优值时各因素的水平。结果表明, VPJ33的最优培养条件为：pH 8.41、温度34.1℃和盐度2.47％; 菌体生长过程中, pH和盐度以及pH和温度对VPJ33生长的交互作用显著, 盐度和温度对VPJ33生长的交互作用不显著。菌体生长模型达到显著水平, 可以对VPJ33在不同条件下的生长情况进行分析和预测。

Abstract:

In this paper, the optimum pH, temperature and salinity for VpJ33 growth were determined through singe-factor analysis respectively and the Response Surface Methodology (RSM). The multivariate non-linear model was applied to study the interactions and optimization of the growth parameters for VpJ33 which were explored by experiments. The experimental results showed that the optimum conditions for germination as follows: pH 8.41, temperature 34.1℃ and salinity 2.47％. Significant interactions between pH and salinity, as well as pH and temperature were found during the germination respectively, otherwise the relationship between salinity and temperature was relatively unapparent. The experimental results indicated that the proposed model is reasonably accurate and can be used for describing and predicting the growth feature of VPJ33 in different outside environmental factors.