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Mathematical modeling and optimization of pasteurization for the internal pressure and physical quality of canned beer

Globally, beer is the most popular alcoholic beverage. To accomplish microbial stabilization and extend the shelf life of beer, it is typically subjected to in-package pasteurization using a tunnel pasteurizer. However, high internal pressure can cause can bulging during pasteurization, leading to s...

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Autores principales: Thongon, Ruthaikamol, Netramai, Siriyupa, Kijchavengkul, Thitisilp, Yaijam, Gong, Debhakam, Rojrit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10661091/
https://www.ncbi.nlm.nih.gov/pubmed/38027755
http://dx.doi.org/10.1016/j.heliyon.2023.e21493
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author Thongon, Ruthaikamol
Netramai, Siriyupa
Kijchavengkul, Thitisilp
Yaijam, Gong
Debhakam, Rojrit
author_facet Thongon, Ruthaikamol
Netramai, Siriyupa
Kijchavengkul, Thitisilp
Yaijam, Gong
Debhakam, Rojrit
author_sort Thongon, Ruthaikamol
collection PubMed
description Globally, beer is the most popular alcoholic beverage. To accomplish microbial stabilization and extend the shelf life of beer, it is typically subjected to in-package pasteurization using a tunnel pasteurizer. However, high internal pressure can cause can bulging during pasteurization, leading to significant product loss. In this study, an empirical mathematical model was constructed to describe the effects of can thickness (0.245–0.270 mm), fill volume (320–338 mL), carbon dioxide content (5.70–6.10 g/L), and pasteurization temperature (59–66 °C) on the internal pressure inside canned beer. A laboratory-scale pasteurization setup was used to pasteurize samples based on the worst-case scenario of commercial pasteurization. The mathematical model (R(2) = 0.90) showed that all parameters significantly influenced the internal pressure of pasteurized canned beer (p < 0.05). Additionally, the physical, chemical, and biological properties of pasteurized canned beer were assessed. All values fell within an acceptable range of industrial standards. A simplified 2(nd)-order polynomial equation (R(2) = 0.90) was created and verified for industrial use. The data are well represented by the simplified model, which suggests that it could be used for optimization of product- and process parameters to reduce the occurrence of can bulging in commercial pasteurization of canned beer.
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spelling pubmed-106610912023-10-31 Mathematical modeling and optimization of pasteurization for the internal pressure and physical quality of canned beer Thongon, Ruthaikamol Netramai, Siriyupa Kijchavengkul, Thitisilp Yaijam, Gong Debhakam, Rojrit Heliyon Research Article Globally, beer is the most popular alcoholic beverage. To accomplish microbial stabilization and extend the shelf life of beer, it is typically subjected to in-package pasteurization using a tunnel pasteurizer. However, high internal pressure can cause can bulging during pasteurization, leading to significant product loss. In this study, an empirical mathematical model was constructed to describe the effects of can thickness (0.245–0.270 mm), fill volume (320–338 mL), carbon dioxide content (5.70–6.10 g/L), and pasteurization temperature (59–66 °C) on the internal pressure inside canned beer. A laboratory-scale pasteurization setup was used to pasteurize samples based on the worst-case scenario of commercial pasteurization. The mathematical model (R(2) = 0.90) showed that all parameters significantly influenced the internal pressure of pasteurized canned beer (p < 0.05). Additionally, the physical, chemical, and biological properties of pasteurized canned beer were assessed. All values fell within an acceptable range of industrial standards. A simplified 2(nd)-order polynomial equation (R(2) = 0.90) was created and verified for industrial use. The data are well represented by the simplified model, which suggests that it could be used for optimization of product- and process parameters to reduce the occurrence of can bulging in commercial pasteurization of canned beer. Elsevier 2023-10-31 /pmc/articles/PMC10661091/ /pubmed/38027755 http://dx.doi.org/10.1016/j.heliyon.2023.e21493 Text en © 2023 The Authors. Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Thongon, Ruthaikamol
Netramai, Siriyupa
Kijchavengkul, Thitisilp
Yaijam, Gong
Debhakam, Rojrit
Mathematical modeling and optimization of pasteurization for the internal pressure and physical quality of canned beer
title Mathematical modeling and optimization of pasteurization for the internal pressure and physical quality of canned beer
title_full Mathematical modeling and optimization of pasteurization for the internal pressure and physical quality of canned beer
title_fullStr Mathematical modeling and optimization of pasteurization for the internal pressure and physical quality of canned beer
title_full_unstemmed Mathematical modeling and optimization of pasteurization for the internal pressure and physical quality of canned beer
title_short Mathematical modeling and optimization of pasteurization for the internal pressure and physical quality of canned beer
title_sort mathematical modeling and optimization of pasteurization for the internal pressure and physical quality of canned beer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10661091/
https://www.ncbi.nlm.nih.gov/pubmed/38027755
http://dx.doi.org/10.1016/j.heliyon.2023.e21493
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