Natural convection drying kinetics of ‘Prata’ and ‘D’água’ banana cultivars (Musa ssp) by nonlinear regression models
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFLA |
Texto Completo: | http://repositorio.ufla.br/jspui/handle/1/40566 |
Resumo: | Banana is among fruits most planted in tropical countries and belongs to the fruit group most consumed in the world; however, banana needs proper conservation techniques. The aim of this study was to describe the drying kinetics of ‘Prata’ and ‘D’água’ banana cultivars at temperatures of 40 and 70°C, comparing the Henderson, STPE, Lewis, Page and Fick regression models, estimating the Absolute Drying Rate (ADR). Parameters were estimated with R and SAS Studio softwares, using for comparison and selection models of the R²aj, RSD and corrected Akaike Information Criteria. The Page and Fick models did not adjust, and the others presented good adjustment to data. The Henderson model was the most suitable to describe data of ‘Prata’ banana at both temperatures and ‘D’água’ banana at 70°C and Lewis at 40°C for this cultivar. The drying rate of ‘Prata’ banana at temperatures of 40 and 70°C were 0.00079 g of water/ min and 0.00400 g of water/min respectively and for ‘D’água’ banana, drying rates were 0.00111 g of water/min. and 0.00495 g of water/min., respectively. Using ADR, it was observed that in one third of the drying period, there was 70% of moisture loss at 70°C. |
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Natural convection drying kinetics of ‘Prata’ and ‘D’água’ banana cultivars (Musa ssp) by nonlinear regression modelsCinética de secagem em convecção natural de bananas Prata e D’água (Musa ssp) por modelos de regressão não linearFood preservationAbsolute Drying Rate (ADR)EstimationStatistical modelsConservação de alimentosTaxa de secagem absolutaEstimaçãoModelos estatísticosBanana is among fruits most planted in tropical countries and belongs to the fruit group most consumed in the world; however, banana needs proper conservation techniques. The aim of this study was to describe the drying kinetics of ‘Prata’ and ‘D’água’ banana cultivars at temperatures of 40 and 70°C, comparing the Henderson, STPE, Lewis, Page and Fick regression models, estimating the Absolute Drying Rate (ADR). Parameters were estimated with R and SAS Studio softwares, using for comparison and selection models of the R²aj, RSD and corrected Akaike Information Criteria. The Page and Fick models did not adjust, and the others presented good adjustment to data. The Henderson model was the most suitable to describe data of ‘Prata’ banana at both temperatures and ‘D’água’ banana at 70°C and Lewis at 40°C for this cultivar. The drying rate of ‘Prata’ banana at temperatures of 40 and 70°C were 0.00079 g of water/ min and 0.00400 g of water/min respectively and for ‘D’água’ banana, drying rates were 0.00111 g of water/min. and 0.00495 g of water/min., respectively. Using ADR, it was observed that in one third of the drying period, there was 70% of moisture loss at 70°C.A bananeira está entre as frutíferas mais plantadas em países tropicais e pertence ao grupo de frutos mais consumidos do mundo; entretanto, necessitam de técnicas de conservação adequadas. Objetivou-se descrever a cinética de secagem de bananas Prata e D’água nas temperaturas de 40 e 70°C, comparando os modelos de regressão Henderson, ESTP, Lewis, Page e Fick, estimando-se a Taxa de Secagem Absoluta (TSA). Os parâmetros foram estimados com os softwares R e SAS Studio, utilizando-se para comparação e seleção de modelos R²aj, DPR e Critério de Informação de Akaike corrigido. Os modelos de Page e Fick não se ajustaram, e os demais apresentaram bom ajuste aos dados. O modelo de Henderson foi o mais indicado para descrever os dados de banana-Prata em ambas as temperaturas e banana D’água em 70°C e o de Lewis para a temperatura de 40°C desta cultivar. A taxa de secagem da banana-Prata, nas temperaturas de 40 e 70°C, foram de 0,00079 g de água/min e 0,00400 g de água/min, respectivamente, e para banana D’água foram de 0,00111 g de água/min e 0,00495 g de água/min, respectivamente. Com a TSA , observou-se que em um terço do período de secagem houve 70% da perda de umidade aos 70°C.Sociedade Brasileira de Fruticultura2020-05-05T11:51:05Z2020-05-05T11:51:05Z2019-11info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfSOUZA, F. A. C. de et al. Morphometric characteristics of the Mangalarga Marchador horse breed determined by nonlinear models. Pesquisa Agropecuária Brasileira, Brasília, v. 54, nov. 2019. Paginação irregular.http://repositorio.ufla.br/jspui/handle/1/40566Pesquisa Agropecuária Brasileirareponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessFurtado, Thais Destefani RibeiroMuniz, Joel AugustoSilva, Edilson MarcelinoFrühauf, Ariana CamposFernandes, Tales Jesuseng2021-09-29T23:33:38Zoai:localhost:1/40566Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2021-09-29T23:33:38Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false |
dc.title.none.fl_str_mv |
Natural convection drying kinetics of ‘Prata’ and ‘D’água’ banana cultivars (Musa ssp) by nonlinear regression models Cinética de secagem em convecção natural de bananas Prata e D’água (Musa ssp) por modelos de regressão não linear |
title |
Natural convection drying kinetics of ‘Prata’ and ‘D’água’ banana cultivars (Musa ssp) by nonlinear regression models |
spellingShingle |
Natural convection drying kinetics of ‘Prata’ and ‘D’água’ banana cultivars (Musa ssp) by nonlinear regression models Furtado, Thais Destefani Ribeiro Food preservation Absolute Drying Rate (ADR) Estimation Statistical models Conservação de alimentos Taxa de secagem absoluta Estimação Modelos estatísticos |
title_short |
Natural convection drying kinetics of ‘Prata’ and ‘D’água’ banana cultivars (Musa ssp) by nonlinear regression models |
title_full |
Natural convection drying kinetics of ‘Prata’ and ‘D’água’ banana cultivars (Musa ssp) by nonlinear regression models |
title_fullStr |
Natural convection drying kinetics of ‘Prata’ and ‘D’água’ banana cultivars (Musa ssp) by nonlinear regression models |
title_full_unstemmed |
Natural convection drying kinetics of ‘Prata’ and ‘D’água’ banana cultivars (Musa ssp) by nonlinear regression models |
title_sort |
Natural convection drying kinetics of ‘Prata’ and ‘D’água’ banana cultivars (Musa ssp) by nonlinear regression models |
author |
Furtado, Thais Destefani Ribeiro |
author_facet |
Furtado, Thais Destefani Ribeiro Muniz, Joel Augusto Silva, Edilson Marcelino Frühauf, Ariana Campos Fernandes, Tales Jesus |
author_role |
author |
author2 |
Muniz, Joel Augusto Silva, Edilson Marcelino Frühauf, Ariana Campos Fernandes, Tales Jesus |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Furtado, Thais Destefani Ribeiro Muniz, Joel Augusto Silva, Edilson Marcelino Frühauf, Ariana Campos Fernandes, Tales Jesus |
dc.subject.por.fl_str_mv |
Food preservation Absolute Drying Rate (ADR) Estimation Statistical models Conservação de alimentos Taxa de secagem absoluta Estimação Modelos estatísticos |
topic |
Food preservation Absolute Drying Rate (ADR) Estimation Statistical models Conservação de alimentos Taxa de secagem absoluta Estimação Modelos estatísticos |
description |
Banana is among fruits most planted in tropical countries and belongs to the fruit group most consumed in the world; however, banana needs proper conservation techniques. The aim of this study was to describe the drying kinetics of ‘Prata’ and ‘D’água’ banana cultivars at temperatures of 40 and 70°C, comparing the Henderson, STPE, Lewis, Page and Fick regression models, estimating the Absolute Drying Rate (ADR). Parameters were estimated with R and SAS Studio softwares, using for comparison and selection models of the R²aj, RSD and corrected Akaike Information Criteria. The Page and Fick models did not adjust, and the others presented good adjustment to data. The Henderson model was the most suitable to describe data of ‘Prata’ banana at both temperatures and ‘D’água’ banana at 70°C and Lewis at 40°C for this cultivar. The drying rate of ‘Prata’ banana at temperatures of 40 and 70°C were 0.00079 g of water/ min and 0.00400 g of water/min respectively and for ‘D’água’ banana, drying rates were 0.00111 g of water/min. and 0.00495 g of water/min., respectively. Using ADR, it was observed that in one third of the drying period, there was 70% of moisture loss at 70°C. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-11 2020-05-05T11:51:05Z 2020-05-05T11:51:05Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
SOUZA, F. A. C. de et al. Morphometric characteristics of the Mangalarga Marchador horse breed determined by nonlinear models. Pesquisa Agropecuária Brasileira, Brasília, v. 54, nov. 2019. Paginação irregular. http://repositorio.ufla.br/jspui/handle/1/40566 |
identifier_str_mv |
SOUZA, F. A. C. de et al. Morphometric characteristics of the Mangalarga Marchador horse breed determined by nonlinear models. Pesquisa Agropecuária Brasileira, Brasília, v. 54, nov. 2019. Paginação irregular. |
url |
http://repositorio.ufla.br/jspui/handle/1/40566 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Fruticultura |
publisher.none.fl_str_mv |
Sociedade Brasileira de Fruticultura |
dc.source.none.fl_str_mv |
Pesquisa Agropecuária Brasileira reponame:Repositório Institucional da UFLA instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Repositório Institucional da UFLA |
collection |
Repositório Institucional da UFLA |
repository.name.fl_str_mv |
Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
nivaldo@ufla.br || repositorio.biblioteca@ufla.br |
_version_ |
1815438936803115008 |