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The Complex Effect of Food Matrix Fat Content on Thermal Inactivation of Listeria monocytogenes: Case Study in Emulsion and Gelled Emulsion Model Systems

Previous studies on the influence of food matrix fat content on thermal inactivation kinetics of food pathogens have shown contradictory results due to the combined influence of fat content and other factors such as composition. Therefore, thermal inactivation of Listeria monocytogenes at 59, 64, an...

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Autores principales: Verheyen, Davy, Govaert, Marlies, Seow, Ti Kian, Ruvina, Jonela, Mukherjee, Vivek, Baka, Maria, Skåra, Torstein, Van Impe, Jan F. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6987303/
https://www.ncbi.nlm.nih.gov/pubmed/32038582
http://dx.doi.org/10.3389/fmicb.2019.03149
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author Verheyen, Davy
Govaert, Marlies
Seow, Ti Kian
Ruvina, Jonela
Mukherjee, Vivek
Baka, Maria
Skåra, Torstein
Van Impe, Jan F. M.
author_facet Verheyen, Davy
Govaert, Marlies
Seow, Ti Kian
Ruvina, Jonela
Mukherjee, Vivek
Baka, Maria
Skåra, Torstein
Van Impe, Jan F. M.
author_sort Verheyen, Davy
collection PubMed
description Previous studies on the influence of food matrix fat content on thermal inactivation kinetics of food pathogens have shown contradictory results due to the combined influence of fat content and other factors such as composition. Therefore, thermal inactivation of Listeria monocytogenes at 59, 64, and 69°C was systematically investigated in emulsion and gelled emulsion food model systems with various fat content (1, 5, 10, and 20%), such that the effect of fat content was isolated. Thermal conductivity and rheological properties of the model systems were quantified, as well as the effect of these properties on the thermal load of the model systems. Thermal conductivity was complexly related to fat content, the nature of the food matrix (i.e., viscous or gelled), and temperature. For the emulsions, the consistency index K increased with increasing fat content, while the flow behavior index n followed the opposite trend. For the gelled emulsions, the storage modulus G′ was always larger than the loss modulus G″ (i.e., measure of elastic and viscous properties, respectively). The phase angle δ [i.e., arctan (G″/G′)] was proportional with fat content, but this relation became more complex at higher temperatures. The thermal load of the model systems was not largely affected by food matrix fat content. Thermal inactivation of L. monocytogenes was investigated by means of the maximum specific inactivation rate k(max), log reductions, and sublethal injury (SI). Both for emulsions and gelled emulsions, k(max) decreased with increasing fat content below approximately 60°C, while a more complex behavior was observed at higher temperatures. In the emulsions, log reductions were considerably lower (i.e., 2–3 log) at 1% fat than in systems with higher fat content. In the gelled emulsions, log reductions generally decreased with increasing fat content. SI decreased with increasing fat content, both in emulsions and gelled emulsions. In conclusion, the inactivation rate (i.e., k(max)) of L. monocytogenes was affected by a complex relation between food matrix fat content, thermal conductivity, rheological properties, and inactivation temperature. Due to the small scale of the model systems, differences in k(max) did not directly affect the final log reductions in a similar fashion.
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spelling pubmed-69873032020-02-07 The Complex Effect of Food Matrix Fat Content on Thermal Inactivation of Listeria monocytogenes: Case Study in Emulsion and Gelled Emulsion Model Systems Verheyen, Davy Govaert, Marlies Seow, Ti Kian Ruvina, Jonela Mukherjee, Vivek Baka, Maria Skåra, Torstein Van Impe, Jan F. M. Front Microbiol Microbiology Previous studies on the influence of food matrix fat content on thermal inactivation kinetics of food pathogens have shown contradictory results due to the combined influence of fat content and other factors such as composition. Therefore, thermal inactivation of Listeria monocytogenes at 59, 64, and 69°C was systematically investigated in emulsion and gelled emulsion food model systems with various fat content (1, 5, 10, and 20%), such that the effect of fat content was isolated. Thermal conductivity and rheological properties of the model systems were quantified, as well as the effect of these properties on the thermal load of the model systems. Thermal conductivity was complexly related to fat content, the nature of the food matrix (i.e., viscous or gelled), and temperature. For the emulsions, the consistency index K increased with increasing fat content, while the flow behavior index n followed the opposite trend. For the gelled emulsions, the storage modulus G′ was always larger than the loss modulus G″ (i.e., measure of elastic and viscous properties, respectively). The phase angle δ [i.e., arctan (G″/G′)] was proportional with fat content, but this relation became more complex at higher temperatures. The thermal load of the model systems was not largely affected by food matrix fat content. Thermal inactivation of L. monocytogenes was investigated by means of the maximum specific inactivation rate k(max), log reductions, and sublethal injury (SI). Both for emulsions and gelled emulsions, k(max) decreased with increasing fat content below approximately 60°C, while a more complex behavior was observed at higher temperatures. In the emulsions, log reductions were considerably lower (i.e., 2–3 log) at 1% fat than in systems with higher fat content. In the gelled emulsions, log reductions generally decreased with increasing fat content. SI decreased with increasing fat content, both in emulsions and gelled emulsions. In conclusion, the inactivation rate (i.e., k(max)) of L. monocytogenes was affected by a complex relation between food matrix fat content, thermal conductivity, rheological properties, and inactivation temperature. Due to the small scale of the model systems, differences in k(max) did not directly affect the final log reductions in a similar fashion. Frontiers Media S.A. 2020-01-22 /pmc/articles/PMC6987303/ /pubmed/32038582 http://dx.doi.org/10.3389/fmicb.2019.03149 Text en Copyright © 2020 Verheyen, Govaert, Seow, Ruvina, Mukherjee, Baka, Skåra and Van Impe. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Verheyen, Davy
Govaert, Marlies
Seow, Ti Kian
Ruvina, Jonela
Mukherjee, Vivek
Baka, Maria
Skåra, Torstein
Van Impe, Jan F. M.
The Complex Effect of Food Matrix Fat Content on Thermal Inactivation of Listeria monocytogenes: Case Study in Emulsion and Gelled Emulsion Model Systems
title The Complex Effect of Food Matrix Fat Content on Thermal Inactivation of Listeria monocytogenes: Case Study in Emulsion and Gelled Emulsion Model Systems
title_full The Complex Effect of Food Matrix Fat Content on Thermal Inactivation of Listeria monocytogenes: Case Study in Emulsion and Gelled Emulsion Model Systems
title_fullStr The Complex Effect of Food Matrix Fat Content on Thermal Inactivation of Listeria monocytogenes: Case Study in Emulsion and Gelled Emulsion Model Systems
title_full_unstemmed The Complex Effect of Food Matrix Fat Content on Thermal Inactivation of Listeria monocytogenes: Case Study in Emulsion and Gelled Emulsion Model Systems
title_short The Complex Effect of Food Matrix Fat Content on Thermal Inactivation of Listeria monocytogenes: Case Study in Emulsion and Gelled Emulsion Model Systems
title_sort complex effect of food matrix fat content on thermal inactivation of listeria monocytogenes: case study in emulsion and gelled emulsion model systems
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6987303/
https://www.ncbi.nlm.nih.gov/pubmed/32038582
http://dx.doi.org/10.3389/fmicb.2019.03149
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