Optimization of Growth Condition of Vibrio parahaemolyticus via Response Surface Methodology

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.