Evaluation of the behavior of coffee stored in cooled and natural environments.
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1150902 https://doi.org/10.25186/.v17i.2051 |
Resumo: | The market value of coffee is strongly influenced by loss of quality, which makes storage one of the main steps in the entire production chain. The finite element method (FEM) and computational fluid dynamics (CFD) are numerical and computational techniques that facilitate the simulation of agricultural product storage systems. Computational modeling satisfactorily represents real experimentation, simplifies decision-making, and reduces costs. This study aimed to analyze mocha coffee storage for 6 months in a cooled environment with temperatures between 15 and 18 °C and in a natural environment. The water content, bulk density, specific heat, thermal conductivity, and thermal diffusivity were determined and colorimetry and sensory analysis were applied to compare initial and final samples of the product after storage. It was found that the water content and specific heat were the only properties that presented significant changes. Through sensory analysis, it was observed that the quality of the coffee was the same for both systems. A computational model was developed to simulate the heat transfer process during storage. The comparison of the simulation results with the experimental results for the temperature distribution in the grain mass showed overall mean relative errors of 2.34% for the natural environment and 5.74% for the cooled environment. |
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Evaluation of the behavior of coffee stored in cooled and natural environments.Postharvest systemsStorageCoffee beansThe market value of coffee is strongly influenced by loss of quality, which makes storage one of the main steps in the entire production chain. The finite element method (FEM) and computational fluid dynamics (CFD) are numerical and computational techniques that facilitate the simulation of agricultural product storage systems. Computational modeling satisfactorily represents real experimentation, simplifies decision-making, and reduces costs. This study aimed to analyze mocha coffee storage for 6 months in a cooled environment with temperatures between 15 and 18 °C and in a natural environment. The water content, bulk density, specific heat, thermal conductivity, and thermal diffusivity were determined and colorimetry and sensory analysis were applied to compare initial and final samples of the product after storage. It was found that the water content and specific heat were the only properties that presented significant changes. Through sensory analysis, it was observed that the quality of the coffee was the same for both systems. A computational model was developed to simulate the heat transfer process during storage. The comparison of the simulation results with the experimental results for the temperature distribution in the grain mass showed overall mean relative errors of 2.34% for the natural environment and 5.74% for the cooled environment.EDNILTON TAVARES DE ANDRADE, UNIVERSIDADE FEDERAL DE LAVRAS; RENAN PEREIRA REZENDE, UNIVERSIDADE FEDERAL DE LAVRAS; FLÁVIO MEIRA BORÉM, UNIVERSIDADE FEDERAL DE LAVRAS; STTELA DELLYZETE VEIGA F DA ROSA, CNPCa; PAULA DE ALMEIDA RIOS, UNIVERSIDADE FEDERAL DE LAVRAS; FILIPE DA SILVA DE OLIVEIRA, UNIVERSIDADE FEDERAL DE LAVRAS.ANDRADE, E. T. deREZENDE, R. P.BORÉM, F. M.ROSA, S. D. V. F. daRIOS, P. de A.OLIVEIRA, F. da S. de2023-01-12T13:01:19Z2023-01-12T13:01:19Z2023-01-122022info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article8 p.Coffee Science, v. 17, e172051, 2022.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1150902https://doi.org/10.25186/.v17i.2051enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2023-01-12T13:01:19Zoai:www.alice.cnptia.embrapa.br:doc/1150902Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542023-01-12T13:01:19falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542023-01-12T13:01:19Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Evaluation of the behavior of coffee stored in cooled and natural environments. |
title |
Evaluation of the behavior of coffee stored in cooled and natural environments. |
spellingShingle |
Evaluation of the behavior of coffee stored in cooled and natural environments. ANDRADE, E. T. de Postharvest systems Storage Coffee beans |
title_short |
Evaluation of the behavior of coffee stored in cooled and natural environments. |
title_full |
Evaluation of the behavior of coffee stored in cooled and natural environments. |
title_fullStr |
Evaluation of the behavior of coffee stored in cooled and natural environments. |
title_full_unstemmed |
Evaluation of the behavior of coffee stored in cooled and natural environments. |
title_sort |
Evaluation of the behavior of coffee stored in cooled and natural environments. |
author |
ANDRADE, E. T. de |
author_facet |
ANDRADE, E. T. de REZENDE, R. P. BORÉM, F. M. ROSA, S. D. V. F. da RIOS, P. de A. OLIVEIRA, F. da S. de |
author_role |
author |
author2 |
REZENDE, R. P. BORÉM, F. M. ROSA, S. D. V. F. da RIOS, P. de A. OLIVEIRA, F. da S. de |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
EDNILTON TAVARES DE ANDRADE, UNIVERSIDADE FEDERAL DE LAVRAS; RENAN PEREIRA REZENDE, UNIVERSIDADE FEDERAL DE LAVRAS; FLÁVIO MEIRA BORÉM, UNIVERSIDADE FEDERAL DE LAVRAS; STTELA DELLYZETE VEIGA F DA ROSA, CNPCa; PAULA DE ALMEIDA RIOS, UNIVERSIDADE FEDERAL DE LAVRAS; FILIPE DA SILVA DE OLIVEIRA, UNIVERSIDADE FEDERAL DE LAVRAS. |
dc.contributor.author.fl_str_mv |
ANDRADE, E. T. de REZENDE, R. P. BORÉM, F. M. ROSA, S. D. V. F. da RIOS, P. de A. OLIVEIRA, F. da S. de |
dc.subject.por.fl_str_mv |
Postharvest systems Storage Coffee beans |
topic |
Postharvest systems Storage Coffee beans |
description |
The market value of coffee is strongly influenced by loss of quality, which makes storage one of the main steps in the entire production chain. The finite element method (FEM) and computational fluid dynamics (CFD) are numerical and computational techniques that facilitate the simulation of agricultural product storage systems. Computational modeling satisfactorily represents real experimentation, simplifies decision-making, and reduces costs. This study aimed to analyze mocha coffee storage for 6 months in a cooled environment with temperatures between 15 and 18 °C and in a natural environment. The water content, bulk density, specific heat, thermal conductivity, and thermal diffusivity were determined and colorimetry and sensory analysis were applied to compare initial and final samples of the product after storage. It was found that the water content and specific heat were the only properties that presented significant changes. Through sensory analysis, it was observed that the quality of the coffee was the same for both systems. A computational model was developed to simulate the heat transfer process during storage. The comparison of the simulation results with the experimental results for the temperature distribution in the grain mass showed overall mean relative errors of 2.34% for the natural environment and 5.74% for the cooled environment. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022 2023-01-12T13:01:19Z 2023-01-12T13:01:19Z 2023-01-12 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Coffee Science, v. 17, e172051, 2022. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1150902 https://doi.org/10.25186/.v17i.2051 |
identifier_str_mv |
Coffee Science, v. 17, e172051, 2022. |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1150902 https://doi.org/10.25186/.v17i.2051 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
8 p. |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503537513725952 |