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预测非等温处理下微生物的热失活

Predicting microbial heat inactivation under nonisothermal treatments.

作者信息

Hassani Mounir, Condón Santiago, Pagán Rafael

机构信息

Departamento Producción Animal y Ciencia de los Alimentos, Facultad de Veterinaria, Universidad de Zaragoza, 50013 Zaragoza, Spain.

出版信息

J Food Prot. 2007 Jun;70(6):1457-67. doi: 10.4315/0362-028x-70.6.1457.

Abstract

The aim of this study was to develop an equation that accurately predicts microbial heat inactivation under nonisothermal treatments at constantly rising heating rates (from 0.5 to 5 degrees C/min) in media with different pH values (4.0 or 7.4). The survival curves of all bacteria (Enterococcus faecium, Escherichia coli, Listeria monocytogenes, Salmonella Senftenberg 775W, Salmonella Typhimurium, and Staphylococcus aureus) tested under isothermal treatments were nearly linear. For the most heat-resistant microorganism (E. faecium), the estimated DT-values at pH 7.4 were at least 100 times those of the second most thermotolerant microorganism (Salmonella Senftenberg 775W). The heat resistance of E. faecium was up to 30 times lower at pH 4.0 than at pH 7.4. However, E. faecium was still the most heat-resistant microorganism under nonisothermal treatments at both pH values. Inactivation under nonisothermal conditions was not accurately estimated from heat resistance parameters of isothermal treatments when microbial adaptation or sensibilization occurred during the heating up lag phases. The under-prediction of the number of survivors might be greater than 15 log CFU within the nonisothermal treatment conditions investigated. Therefore, the nonisothermal survival curves of the most heat-resistant microorganisms were fitted with the following equation: log S(t) = -(t/delta)P. This equation accurately described the survival curves of all the bacteria tested. We observed a linear relationship between the log of the scale parameter (delta) and the log of the heating rate. A p value characteristic of each microorganism and pH tested was calculated. Two equations capable of predicting the inactivation rate of all bacteria tested under nonisothermal treatments at pH 7.4, 5.5, or 4.0 were developed. The model was evaluated in skim milk and apple juice. The results of this study could be used to help minimize public health risks and to extend the shelf life of those foods requiring long heating up lag phases during processing.

摘要

本研究的目的是建立一个方程,以准确预测在不同pH值(4.0或7.4)的培养基中,以恒定上升加热速率(从0.5至5℃/分钟)进行非等温处理时微生物的热失活情况。在等温处理下测试的所有细菌(粪肠球菌、大肠杆菌、单核细胞增生李斯特菌、沙门氏菌Senftenberg 775W、鼠伤寒沙门氏菌和金黄色葡萄球菌)的存活曲线几乎呈线性。对于最耐热的微生物(粪肠球菌),在pH 7.4时估计的DT值至少是第二耐热微生物(沙门氏菌Senftenberg 775W)的100倍。粪肠球菌在pH 4.0时的耐热性比在pH 7.4时低达30倍。然而,在两个pH值下的非等温处理中,粪肠球菌仍是最耐热的微生物。当在加热滞后阶段发生微生物适应或致敏时,不能从等温处理的耐热性参数准确估计非等温条件下的失活情况。在所研究的非等温处理条件下,对存活菌数的预测不足可能大于15 log CFU。因此,最耐热微生物的非等温存活曲线用以下方程拟合:log S(t) = -(t/δ)^P。该方程准确描述了所有测试细菌的存活曲线。我们观察到尺度参数(δ)的对数与加热速率的对数之间存在线性关系。计算了每种测试微生物和pH的p值。建立了两个能够预测在pH 7.4、5.5或4.0下非等温处理时所有测试细菌失活速率的方程。该模型在脱脂牛奶和苹果汁中进行了评估。本研究结果可用于帮助将公共卫生风险降至最低,并延长那些在加工过程中需要较长加热滞后阶段的食品的保质期。

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