Literature DB >> 17612077

Predicting microbial heat inactivation under nonisothermal treatments.

Mounir Hassani1, Santiago Condón, Rafael Pagán.   

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.

Entities:  

Mesh:

Year:  2007        PMID: 17612077     DOI: 10.4315/0362-028x-70.6.1457

Source DB:  PubMed          Journal:  J Food Prot        ISSN: 0362-028X            Impact factor:   2.077


  5 in total

Review 1.  Physiology of the Inactivation of Vegetative Bacteria by Thermal Treatments: Mode of Action, Influence of Environmental Factors and Inactivation Kinetics.

Authors:  Guillermo Cebrián; Santiago Condón; Pilar Mañas
Journal:  Foods       Date:  2017-11-30

2.  Relevance of the Induced Stress Resistance When Identifying the Critical Microorganism for Microbial Risk Assessment.

Authors:  Alberto Garre; Jose A Egea; Asunción Iguaz; Alfredo Palop; Pablo S Fernandez
Journal:  Front Microbiol       Date:  2018-07-24       Impact factor: 5.640

3.  TDT Sandwich: An open source dry heat system for characterizing the thermal resistance of microorganisms.

Authors:  Soon Kiat Lau; Jeyamkondan Subbiah
Journal:  HardwareX       Date:  2020-06-07

4.  High Heating Rates Affect Greatly the Inactivation Rate of Escherichia coli.

Authors:  Juan-Pablo Huertas; Arantxa Aznar; Arturo Esnoz; Pablo S Fernández; Asunción Iguaz; Paula M Periago; Alfredo Palop
Journal:  Front Microbiol       Date:  2016-08-11       Impact factor: 5.640

5.  Impact of Heating Rates on Alicyclobacillus acidoterrestris Heat Resistance under Non-Isothermal Treatments and Use of Mathematical Modelling to Optimize Orange Juice Processing.

Authors:  Juan-Pablo Huertas; María Ros-Chumillas; Alberto Garre; Pablo S Fernández; Arantxa Aznar; Asunción Iguaz; Arturo Esnoz; Alfredo Palop
Journal:  Foods       Date:  2021-06-28
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.