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Applying Computational Fluid Dynamics in the Development of Smart Ripening Rooms for Traditional Cheeses

Traditional ewe’s cheese producers face certain challenges caused by fluctuating environmental parameters inside the ripening room, which lead to lack of homogeneity in the final product. The present research discusses the application of computer fluid dynamics for simulating the distribution of env...

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Autores principales: Alvarenga, Nuno, Martins, João, Caeiro, José, Garcia, João, Pássaro, João, Coelho, Luis, Santos, Maria Teresa, Lampreia, Célia, Martins, António, Dias, João
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8394216/
https://www.ncbi.nlm.nih.gov/pubmed/34441494
http://dx.doi.org/10.3390/foods10081716
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author Alvarenga, Nuno
Martins, João
Caeiro, José
Garcia, João
Pássaro, João
Coelho, Luis
Santos, Maria Teresa
Lampreia, Célia
Martins, António
Dias, João
author_facet Alvarenga, Nuno
Martins, João
Caeiro, José
Garcia, João
Pássaro, João
Coelho, Luis
Santos, Maria Teresa
Lampreia, Célia
Martins, António
Dias, João
author_sort Alvarenga, Nuno
collection PubMed
description Traditional ewe’s cheese producers face certain challenges caused by fluctuating environmental parameters inside the ripening room, which lead to lack of homogeneity in the final product. The present research discusses the application of computer fluid dynamics for simulating the distribution of environmental parameters, predicting the airflow pattern, and identifying critical areas where such parameters could cause reduced cheese quality. A new monitoring system was developed including presence sensors, temperature and humidity dataloggers, pneumatic actuators, microcontrollers, and microcomputers connected remotely for control, data visualization, and processing. The validation of the computer simulation and monitoring system was made with a batch of 40 ewe’s cheeses distributed in three different zones inside a prototype ripening room and ripened for 35 days. At 35 days, a physical, chemical, and microbiological characterization of cheeses was made for evaluation of the influence of environmental conditions on cheese quality. The comparison between simulated and local measurements showed close agreement, especially concerning air velocity inside the stacks of cheese. The results of Pearson’s correlation analysis and PCA concluded that temperature affected the appearance of the rind, hardness, number and area occupied by holes. Humidity affected a(w) and mFeret. Air velocity affected pH and the circularity of gas holes.
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spelling pubmed-83942162021-08-28 Applying Computational Fluid Dynamics in the Development of Smart Ripening Rooms for Traditional Cheeses Alvarenga, Nuno Martins, João Caeiro, José Garcia, João Pássaro, João Coelho, Luis Santos, Maria Teresa Lampreia, Célia Martins, António Dias, João Foods Article Traditional ewe’s cheese producers face certain challenges caused by fluctuating environmental parameters inside the ripening room, which lead to lack of homogeneity in the final product. The present research discusses the application of computer fluid dynamics for simulating the distribution of environmental parameters, predicting the airflow pattern, and identifying critical areas where such parameters could cause reduced cheese quality. A new monitoring system was developed including presence sensors, temperature and humidity dataloggers, pneumatic actuators, microcontrollers, and microcomputers connected remotely for control, data visualization, and processing. The validation of the computer simulation and monitoring system was made with a batch of 40 ewe’s cheeses distributed in three different zones inside a prototype ripening room and ripened for 35 days. At 35 days, a physical, chemical, and microbiological characterization of cheeses was made for evaluation of the influence of environmental conditions on cheese quality. The comparison between simulated and local measurements showed close agreement, especially concerning air velocity inside the stacks of cheese. The results of Pearson’s correlation analysis and PCA concluded that temperature affected the appearance of the rind, hardness, number and area occupied by holes. Humidity affected a(w) and mFeret. Air velocity affected pH and the circularity of gas holes. MDPI 2021-07-23 /pmc/articles/PMC8394216/ /pubmed/34441494 http://dx.doi.org/10.3390/foods10081716 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Alvarenga, Nuno
Martins, João
Caeiro, José
Garcia, João
Pássaro, João
Coelho, Luis
Santos, Maria Teresa
Lampreia, Célia
Martins, António
Dias, João
Applying Computational Fluid Dynamics in the Development of Smart Ripening Rooms for Traditional Cheeses
title Applying Computational Fluid Dynamics in the Development of Smart Ripening Rooms for Traditional Cheeses
title_full Applying Computational Fluid Dynamics in the Development of Smart Ripening Rooms for Traditional Cheeses
title_fullStr Applying Computational Fluid Dynamics in the Development of Smart Ripening Rooms for Traditional Cheeses
title_full_unstemmed Applying Computational Fluid Dynamics in the Development of Smart Ripening Rooms for Traditional Cheeses
title_short Applying Computational Fluid Dynamics in the Development of Smart Ripening Rooms for Traditional Cheeses
title_sort applying computational fluid dynamics in the development of smart ripening rooms for traditional cheeses
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8394216/
https://www.ncbi.nlm.nih.gov/pubmed/34441494
http://dx.doi.org/10.3390/foods10081716
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