食品科学 ›› 2023, Vol. 44 ›› Issue (22): 133-138.doi: 10.7506/spkx1002-6630-20221219-195

• 生物工程 • 上一篇    下一篇

糯米面团中金黄色葡萄球菌生长预测模型的构建

冻梓杰, 黄阳阳, 周伟涛, 黄忠民, 艾志录, 郑琦, 王晓杰, 索标   

  1. (1.河南农业大学食品科学技术学院,河南 郑州 450002;2.农业农村部大宗粮食加工重点实验室,河南 郑州 450002;3.国家速冻米面制品加工技术研发专业中心,速冻面米及调制食品河南省工程实验室,河南 郑州 450002)
  • 出版日期:2023-11-25 发布日期:2023-12-13
  • 基金资助:
    国家自然科学基金面上项目(32272441);河南省自然科学基金面上项目(222300420455); 河南省高校科技创新人才资助计划项目(22HASTIT034);郑州市重大科技专项(2020CXZX0084)

Predictive Modeling of the Growth of Staphylococcus aureus in Glutinous Rice Dough

DONG Zijie, HUANG Yangyang, ZHOU Weitao, HUANG Zhongmin, AI Zhilu, ZHENG Qi, WANG Xiaojie, SUO Biao   

  1. (1. College of Food Science and Technology, Henan Agricultural University, Zhengzhou 450002, China;2. Key Laboratory of Staple Grain Processing, Ministry of Agriculture and Rural Affairs, Zhengzhou 450002, China; 3. National R&D Center for Frozen Rice & Wheat Products Processing Technology, Henan Engineering Laboratory of Quick-Frozen Flour-Rice Food and Prepared Food, Zhengzhou 450002, China)
  • Online:2023-11-25 Published:2023-12-13

摘要: 通过建立一级和二级模型描述糯米面团中金黄色葡萄球菌的生长动力学,为糯米制品原料中金黄色葡萄球菌的生长监测提供依据。将2 株金黄色葡萄球菌(ATCC 8095和NCTC 8325)混合菌悬液接种至糯米面团样品中,分别将其在4、11、18、25、32 ℃和37 ℃恒温培养。结果表明,除4 ℃生长缓慢无法构建模型外,其他温度下3 种一级生长模型(Baranyi、修正的Gompertz和Huang模型)均能对糯米面团中金黄色葡萄球菌生长曲线进行良好的拟合;但在较低和较高温度(11 ℃和37 ℃)下修正的Gompertz模型表现出最好的拟合准确度。赤池信息准则和决定系数(R2)等数据分析显示,修正的Gompertz模型可作为金黄色葡萄球菌最优一级生长预测模型。采用2 个二级模型(Ratkowsky和Huang平方根模型)分析温度对金黄色葡萄球菌生长速率的影响,结果表明Ratkowsky平方根模型预测最低(0.049 ℃)和最高(47.135 ℃)生长温度相较于Huang平方根模型与实验结果更为接近,因而更适合作为糯米面团中金黄色葡萄球菌的二级生长模型。本研究结果可对食品企业和监管机构预测糯米制品中金黄色葡萄球菌的生长及安全风险评估提供科学依据。

关键词: 糯米面团;金黄色葡萄球菌;一级模型;二级模型;生长动力学

Abstract: The aim of this study was to develop primary and secondary models to describe the growth kinetics of Staphylococcus aureus in glutinous rice dough in order to provide a basis for monitoring the growth of S. aureus in raw materials for glutinous rice products. Glutinous rice dough was inoculated with a mixture of two S. aureus strains (ATCC 8095 and NCTC 8325) and cultured at 4, 11, 18, 25, 32 or 37 ℃. The results showed that the growth data of S. aureus in glutinous rice dough at all temperatures except 4 ℃, at which S. aureus grew slowly, could be fitted to three primary growth models (the Baranyi, modified Gompertz and Huang models). However, the modified Gompertz model most accurately fitted the growth data of S. aureus at lower and higher temperatures (11 and 37 ℃). The Akaike information criterion (AIC) and the coefficient of determination (R2) showed that the modified Gompertz model could be used as the optimal primary model for the prediction of S. aureus growth. Thereafter, the effect of temperature on the growth rate of S. aureus was analyzed using the Ratkowsky (RSR) and Huang square-root (HSR) models. The results showed that the RSR model provided more accurate predictions of the lowest (0.049 ℃) and highest (47.135 ℃) growth temperatures than did the HSR model, suggesting the RSR model was a more suitable secondary growth model for S. aureus in glutinous rice dough. The results of this study can provide a scientific basis for food companies and regulatory agencies to predict the growth of S. aureus in glutinous rice products for food safety risk assessment.

Key words: glutinous rice dough; Staphylococcus aureus; primary model; secondary model; growth kinetics

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