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小肠结肠炎耶尔森菌生长的预测模型:温度、pH值和氯化钠的影响

Predictive modelling of growth of Yersinia enterocolitica: the effects of temperature, pH and sodium chloride.

作者信息

Sutherland J P, Bayliss A J

机构信息

Institute of Food Research, Reading Laboratory, England, UK.

出版信息

Int J Food Microbiol. 1994 Feb;21(3):197-215. doi: 10.1016/0168-1605(94)90028-0.

Abstract

The growth responses of Yersinia enterocolitica as affected by NaCl concentration, pH value and storage temperature were studied in laboratory medium. Growth curves at concentrations of NaCl in the range 0.5-6.5% (w/v), pH values in the range 4.0-7.0 and storage temperatures in the range 5-30 degrees C were fitted using the Gompertz routine and the derived parameters modelled. Growth curves could then be regenerated for any set of conditions within the matrix studied and values for growth rate, generation time, lag time and time to 1000-fold increase predicted. The model was validated against data from the literature and was found to give realistic estimates for generation time in media and a range of foods including meat and meat products, milk, eggs, fish and tofu. All predictions were consistently 'fail-safe'.

摘要

在实验室培养基中研究了氯化钠浓度、pH值和储存温度对小肠结肠炎耶尔森菌生长反应的影响。使用Gompertz程序拟合了氯化钠浓度范围为0.5 - 6.5%(w/v)、pH值范围为4.0 - 7.0以及储存温度范围为5 - 30℃时的生长曲线,并对导出的参数进行建模。然后可以针对所研究矩阵内的任何一组条件重新生成生长曲线,并预测生长速率、代时、延迟期和增加1000倍所需时间的值。该模型根据文献数据进行了验证,结果发现对于培养基以及包括肉类和肉制品、牛奶、鸡蛋、鱼类和豆腐在内的一系列食品中的代时能给出实际的估计值。所有预测始终都是“安全可靠”的。

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