冷鲜五花肉中假单胞菌预测模型的建立与验证  被引量:3

Establishment and Validation of Growth Predictive Model of Pseudomonas from Chilled Marbled Meat

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作  者:赵国娇[1] 王宏勋[1] 刘明芹[1] 

机构地区:[1]武汉工业学院食品科学与工程学院,武汉430023

出  处:《中国农学通报》2013年第12期217-220,共4页Chinese Agricultural Science Bulletin

基  金:国家"863"课题"动物源食品中腐败微生物菌相研究与预测模型构建"(2012AA101605)

摘  要:为了建立冷鲜五花肉中假单胞菌的生长预测模型,采用选择性培养基CFC琼脂对假单胞菌进行平板计数。利用Gompertz模型拟合0、5、10、15、20℃下冷鲜五花肉中假单胞菌的生长曲线,得到假单胞菌生长预测一级模型;生长预测二级模型以平方根模型、Arrhenius模型拟合一级模型中所得动力学参数。结果表明:一级模型中回归系数R2〉0.99,准确因子(Af)、偏差因子(Bf)都接近1.0,延滞期(LPD)1.6996~0.1212,最大比生长速率(U)0.5782~3.3751。二级模型中平方根模型对延滞期和最大比生长速率回归系数R2为0.9825和0.934均略高于Arrhenius模型。可用平方根预测0~20℃范围内假单胞菌的变化情况,为冷鲜五花肉中腐败微生物的预测研究提供基础。In order to establish the predictive models, the plate count of Pseudomonas with selective medium (CFC agar) was developed. The predictive growth primary model of Pseudomonas was got through fitting the growth kinetics curve of chilled marbled meat under 0-20℃. The Square-root model and Arrhenius model were describe d the relationship between temperature and maximum specific growth rate, lag phase, and built the predictive secondary model of Pseudomonas. The results showed that, the regression coefficient (R^2〉0.99), accurate factor (Af) and bias factor (Bf) were close to 1.0, the lag phase (LPD) and maximum specific growth rate (U) ranged from 1.6996 to 0.1212 and from 0.5782 to 3.3751, respectively. Moreover, the regression coefficient (R^2) of the maximum specific growth rate and lag phase in Square-root model was higher than Arrhenius model, the growth kinetics model provided a useful and accurate method of predicting the growth changes of Pseudomonas from O℃ to 20℃.

关 键 词:冷鲜五花肉 假单胞菌 Gompertz模型 平方根模型 Arrhenius模型 

分 类 号:TS201-3[轻工技术与工程—食品科学]

 

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