裹浆中金黄色葡萄球菌生长预测模型的建立  

Development of Predictive Model for the Growth of Staphylococcus aureus in Wrapped Slurry

作　　者：汪慧春[1,2] 黄和[1,2] 刘亚[1,2] 蒋志红[1,2] 励建荣[3] 

机构地区：[1]广东省水产品加工与安全重点实验室广东普通高等学校水产品深加工重点实验室广东海洋大学食品科技学院 [2]广东海洋大学实验教学部,广东湛江524088 [3]渤海大学辽宁省食品安全重点实验室,辽宁锦州121013

出　　处：《安徽农业科学》2014年第26期9157-9160,共4页Journal of Anhui Agricultural Sciences

基　　金："十二五"国家科技支撑计划项目(2012BAD29B06);广东省产学研结合项目(2011B090400154)

摘　　要：[目的]建立裹浆中金黄色葡萄球菌的生长预测模型。[方法]试验通过接种金黄色葡萄球菌标准菌株菌悬液到无菌裹浆中,分别放在14、18、22、27、32和37℃下培养,通过测定不同温度下的生长数据采用修正Gompertz、修正Logistic、Baranyi模型拟合生长曲线。通过相关系数的比较,采用最优模型为一级模型,在最优一级模型的基础上拟合出相关参数。采用Ratkowsky平方根模型分别建立温度与最大比生长速率(μm)、迟滞期(λ)的二级模型。[结果]研究表明,修正Gompertz模型为最优一级模型,模型经偏差因子(Bf)和准确因子(Af)验证,均在合适的范围内,表明所建模型预测效果较好。[结论]该研究建立的生长预测模型能够有效预测金黄色葡萄球菌在裹浆中的生长情况,可降低食物中毒风险。[ Objective] To establish growth predictive model of Staphylococcus aureus in wrapped slurry. [ Method ] Through inoculum standard strains of.Staphylococcus aureus bacterial suspension in sterile wrapped slurry, they were cultured under 14, 18, 22, 27, 32, 37 ℃. Through measured the growth data at different temperatures, the modified Gompertz,, modified Logistic, Baranyi model were fitting growth curve. The goodness-of-fit of three models was compared using determination of coefficient and the optimal model fitting primary model. Therefore, the growth rate （~m） and lag time（~.） obtained from the optimal model were employed to establish the Ratkowsky square root model as secondary model. [ Result ] The results showed, the modified Gompertz is the optimal primary model, the model were validated using bias factor （Bf） , ac- curacy factor （Af）, were within the reliable range. [ Conclusion] The established predictive model can be used to assess the grow situation of S. aureus in wrapped slurry and reduce food poisoning risk.

关 键 词：裹浆 金黄色葡萄球菌 生长预测模型 

分 类 号：S609.9[农业科学—园艺学]