Authors:
Vijay K. Juneja Eastern Regional Research Center, USDA-Agricultural Research Service, 600 E. Mermaid Lane, Wyndmoor, PA, 19038, USA

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Lihan Huang Eastern Regional Research Center, USDA-Agricultural Research Service, 600 E. Mermaid Lane, Wyndmoor, PA, 19038, USA

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Xianghe Yan Eastern Regional Research Center, USDA-Agricultural Research Service, 600 E. Mermaid Lane, Wyndmoor, PA, 19038, USA

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Abstract

The use of heat to inactivate foodborne pathogens is a critical control point and the most common means for assuring the microbiological safety of processed foods. A key to optimization of the heating step is defining the target pathogens’ heat resistance. Sufficient evidence exists to document that insufficient cooking, reheating, and/or subsequent cooling are often contributing factors in food-poisoning outbreaks. Accordingly, the objective of thermal processing is to design sufficient heating regiments to achieve a specific lethality for foodborne pathogens in foods. The effects and interactions of temperature, pH, sodium chloride content, sodium pyrophosphate, and sodium lactate concentration are among the variables that were considered when attempting to assess the heat inactivation kinetics of Escherichia coli O157:H7, Listeria monocytogenes, Salmonella spp., and spores of non-proteolytic Clostridium botulinum. Incorporation of these multiple barriers usually increases the sensitivity of pathogens to heat, thereby reducing heat requirements and ensuring the safety of ready-to-eat food products. Complex multifactorial experiments and analysis to quantify the effects and interactions of additional intrinsic and extrinsic factors and development of “enhanced” predictive models are underway to ensure the microbiological safety of thermally processed foods. Predictive inactivation kinetics (thermal death) models for foodborne pathogens have been converted into an easy-to-use computer program that is available on the USDA–Eastern Regional Research Center website. These models should aid in evaluating the safety of cooked products and are being used as building blocks for microbial risk assessment.

  • 1. Cole, MB, Davies, KW, Munro, G, Holyoak, CD, Kilsby, DC. 1993 A vitalistic model to describe the thermal inactivation of Listeria monocytogenes. J Indust Microbiol. 12:232239. .

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  • 2. Huang, L, Juneja, VK. 2001 A new kinetic model for thermal inactivation of microorganisms: development and validation using Escherichia coli O157: H7 as a test organism. J Food Prot. 64:20782082.

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  • 3. Huang, L. 2009 Thermal inactivation of L. monocytogenes in ground beef: a kinetic analysis. J Food Eng. 90:380387. .

  • 4. Juneja, VK, Marmer, BS, Phillips, JG, Miller, AJ. 1995 Influence of the intrinsic properties of food on thermal inactivation of spores of non-proteolytic Clostridium botulinum: development of a predictive model. J Food Safety. 15:349364. .

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  • 5. Juneja, VK, Eblen, BS. 1999 Predictive thermal inactivation model for Listeria monocytogenes with temperature, pH, NaCl and sodium pyrophosphate as controlling factors. J Food Prot. 62:986993.

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  • 6. Juneja, VK, Marmer, BS, Eblen, BS. 1999 Predictive model for the combined effect of temperature, pH, sodium chloride, and sodium pyrophosphate on the heat resistance of Escherichia coli O157:H7. J Food Safety. 19:147160. .

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  • 7. Mohacsi-Farkas, CS, Farkas, J, Meszaros, L, Reichart, O, Andrassy, E. 1999 Thermal denaturation of bacterial cells examined by differential scanning calorimetry. J Therm Anal Calorim. 57:409414. .

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  • 8. Pflug, IJ, Holcomb, RG. Principles of thermal destruction of microorganisms Block, SS, eds. Disinfection, sterilization, and preservation. 3 Philadelphia: Lea and Febiger; 1983 751810.

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  • 9. Tomlins, RI, Ordal, ZJ. Thermal injury and inactivation in vegetative bacteria Skinner, FA, Hugo, WB, eds. Inhibition and inactivation of vegetative microbes. New York: Academic Press; 1976 153190.

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  • 10. Tunick, MH, Bayles, DO, Novak, JS. 2006 DSC analysis of foodborne bacteria. J Therm Anal Calorim. 83:2326. .

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Journal of Thermal Analysis and Calorimetry
Language English
Size A4
Year of
Foundation
1969
Volumes
per Year
1
Issues
per Year
24
Founder Akadémiai Kiadó
Founder's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Publisher Akadémiai Kiadó
Springer Nature Switzerland AG
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
CH-6330 Cham, Switzerland Gewerbestrasse 11.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 1388-6150 (Print)
ISSN 1588-2926 (Online)

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