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Appl Environ Microbiol. 1996 May;62(5):1616-22. doi: 10.1128/aem.62.5.1616-1622.1996.
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本文引用的文献

1
Evaluation of data transformations and validation of a model for the effect of temperature on bacterial growth.评估数据转换方法并验证温度对细菌生长影响模型的有效性。
Appl Environ Microbiol. 1994 Jan;60(1):195-203. doi: 10.1128/aem.60.1.195-203.1994.
2
Modeling of the bacterial growth curve.细菌生长曲线的建模。
Appl Environ Microbiol. 1990 Jun;56(6):1875-81. doi: 10.1128/aem.56.6.1875-1881.1990.
3
Growth/survival of psychrotrophic pathogens on meat packaged under modified atmospheres.
Int J Food Microbiol. 1995 Dec;28(2):221-31. doi: 10.1016/0168-1605(95)00058-5.
4
Minimum inhibitory concentration (MIC) of sodium lactate for pathogens and spoilage organisms occurring in meat products.乳酸钠对肉制品中出现的病原体和腐败微生物的最低抑菌浓度(MIC)
Int J Food Microbiol. 1993 Dec;20(4):247-57. doi: 10.1016/0168-1605(93)90169-h.
5
Modelling growth rates of Listeria innocua as a function of lactate concentration.将无害李斯特菌的生长速率模拟为乳酸浓度的函数。
Int J Food Microbiol. 1994 Dec;24(1-2):113-23. doi: 10.1016/0168-1605(94)90111-2.
6
Modeling of bacterial growth as a function of temperature.细菌生长作为温度函数的建模。
Appl Environ Microbiol. 1991 Apr;57(4):1094-101. doi: 10.1128/aem.57.4.1094-1101.1991.

温度、pH值和乳酸钠对无害李斯特菌在肉汤和博洛尼亚型香肠中生长速率的联合作用模型。

Model for the combined effects of temperature, pH, and sodium lactate on growth rates of Listeria innocua in broth and Bologna-type sausages.

作者信息

Houtsma P C, Kant-Muermans M L, Rombouts F M, Zwietering M H

机构信息

Department of Food Science, Wageningen Agricultural University, The Netherlands.

出版信息

Appl Environ Microbiol. 1996 May;62(5):1616-22. doi: 10.1128/aem.62.5.1616-1622.1996.

DOI:10.1128/aem.62.5.1616-1622.1996
PMID:8633859
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC167935/
Abstract

A modified Monod equation was successfully applied to describe the maximum specific growth rate of Listeria innocua in a broth model in the presence of various concentrations of sodium lactate or NaCl. The combined effects of temperature and pH were assessed by translating the parameters of the modified Monod equation mu(m), alpha, and p') as functions of pH and/or temperature. As a result, the area in which the growth rate could be predicted was extended to include as a variable not only the salt concentration but also pH and temperature. The number of parameters needed to describe the experimental data was thereby reduced from 48 to 4 (NaCl) and from 42 to 5 (sodium lactate). The decline in the goodness of fit that accompanied the reduction in the number of parameters was within statistically acceptable ranges. The resulting model was compared with a polynomial fit, and it was proposed that the former was more suitable for the purpose of this study. The broth model for sodium lactate was evaluated with Bologna-type sausages. Because of the "worst-case" design of the broth model, it was necessary to reestimate one or all parameters to obtain a good description of the growth rate of L. innocua in the meat product. However, the simplicity of the model and the practical usefulness of its parameters offer considerable prospects for its use in predictive microbiology.

摘要

修正的莫诺德方程成功应用于描述无害李斯特菌在含有不同浓度乳酸钠或氯化钠的肉汤模型中的最大比生长速率。通过将修正的莫诺德方程参数μ(m)、α和p'作为pH值和/或温度的函数进行转换,评估了温度和pH值的综合影响。结果,可预测生长速率的区域得以扩展,不仅将盐浓度作为变量,还纳入了pH值和温度。描述实验数据所需的参数数量因此从48个减少到4个(氯化钠),从42个减少到5个(乳酸钠)。参数数量减少伴随的拟合优度下降在统计可接受范围内。将所得模型与多项式拟合进行比较,结果表明前者更适合本研究目的。用博洛尼亚型香肠对乳酸钠肉汤模型进行了评估。由于肉汤模型采用“最坏情况”设计,有必要重新估计一个或所有参数,以便更好地描述无害李斯特菌在肉制品中的生长速率。然而,该模型的简单性及其参数的实际实用性为其在预测微生物学中的应用提供了广阔前景。