Optimization of microwave drying conditions of two banana varieties using response surface methodology
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Food Science and Technology (Campinas) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612015000300438 |
Resumo: | AbstractOptimization of microwave drying conditions of Luvhele and Mabonde banana varieties were studied using response surface methodology. The drying was performed using a central composite rotatable design for two variables: microwave power level (100, 200 and 300 W) and drying time (40, 26, and 12 min.) for Luvhele; (100, 200 and 300 W) and (42, 27, and 12 min) for Mabonde. The colour and texture (hardness) data were analyzed using ANOVA and regression analysis. The fitness of the models obtained was good as the lack of fit for each of the models was not significant. The coefficient of determination R2 of the models was relatively high, hence the models obtained for the responses were adequate and acceptable. Drying conditions of 178.76 W, 12 min. drying time were found optimum for product quality at a desirability of 0.91 for Luvhele; while 127.67 W, 12 min. with a desirability of 0.86 was predicted for Mabonde. The result of this study could be used as a standard for microwave processing of Luvhele and Mabondebanana varieties. |
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Optimization of microwave drying conditions of two banana varieties using response surface methodologybananaLuvheleMabondemicrowavedryingresponse surface methodologycolourhardnessmodelsoptimizationAbstractOptimization of microwave drying conditions of Luvhele and Mabonde banana varieties were studied using response surface methodology. The drying was performed using a central composite rotatable design for two variables: microwave power level (100, 200 and 300 W) and drying time (40, 26, and 12 min.) for Luvhele; (100, 200 and 300 W) and (42, 27, and 12 min) for Mabonde. The colour and texture (hardness) data were analyzed using ANOVA and regression analysis. The fitness of the models obtained was good as the lack of fit for each of the models was not significant. The coefficient of determination R2 of the models was relatively high, hence the models obtained for the responses were adequate and acceptable. Drying conditions of 178.76 W, 12 min. drying time were found optimum for product quality at a desirability of 0.91 for Luvhele; while 127.67 W, 12 min. with a desirability of 0.86 was predicted for Mabonde. The result of this study could be used as a standard for microwave processing of Luvhele and Mabondebanana varieties.Sociedade Brasileira de Ciência e Tecnologia de Alimentos2015-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612015000300438Food Science and Technology v.35 n.3 2015reponame:Food Science and Technology (Campinas)instname:Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA)instacron:SBCTA10.1590/1678-457X.6700info:eu-repo/semantics/openAccessOmolola,Adewale OlusegunJideani,Afam Israel ObiefunaKapila,Patrick FrancisJideani,Victoria Adaoraeng2015-10-21T00:00:00Zoai:scielo:S0101-20612015000300438Revistahttp://www.scielo.br/ctaONGhttps://old.scielo.br/oai/scielo-oai.php||revista@sbcta.org.br1678-457X0101-2061opendoar:2015-10-21T00:00Food Science and Technology (Campinas) - Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA)false |
dc.title.none.fl_str_mv |
Optimization of microwave drying conditions of two banana varieties using response surface methodology |
title |
Optimization of microwave drying conditions of two banana varieties using response surface methodology |
spellingShingle |
Optimization of microwave drying conditions of two banana varieties using response surface methodology Omolola,Adewale Olusegun banana Luvhele Mabonde microwave drying response surface methodology colour hardness models optimization |
title_short |
Optimization of microwave drying conditions of two banana varieties using response surface methodology |
title_full |
Optimization of microwave drying conditions of two banana varieties using response surface methodology |
title_fullStr |
Optimization of microwave drying conditions of two banana varieties using response surface methodology |
title_full_unstemmed |
Optimization of microwave drying conditions of two banana varieties using response surface methodology |
title_sort |
Optimization of microwave drying conditions of two banana varieties using response surface methodology |
author |
Omolola,Adewale Olusegun |
author_facet |
Omolola,Adewale Olusegun Jideani,Afam Israel Obiefuna Kapila,Patrick Francis Jideani,Victoria Adaora |
author_role |
author |
author2 |
Jideani,Afam Israel Obiefuna Kapila,Patrick Francis Jideani,Victoria Adaora |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Omolola,Adewale Olusegun Jideani,Afam Israel Obiefuna Kapila,Patrick Francis Jideani,Victoria Adaora |
dc.subject.por.fl_str_mv |
banana Luvhele Mabonde microwave drying response surface methodology colour hardness models optimization |
topic |
banana Luvhele Mabonde microwave drying response surface methodology colour hardness models optimization |
description |
AbstractOptimization of microwave drying conditions of Luvhele and Mabonde banana varieties were studied using response surface methodology. The drying was performed using a central composite rotatable design for two variables: microwave power level (100, 200 and 300 W) and drying time (40, 26, and 12 min.) for Luvhele; (100, 200 and 300 W) and (42, 27, and 12 min) for Mabonde. The colour and texture (hardness) data were analyzed using ANOVA and regression analysis. The fitness of the models obtained was good as the lack of fit for each of the models was not significant. The coefficient of determination R2 of the models was relatively high, hence the models obtained for the responses were adequate and acceptable. Drying conditions of 178.76 W, 12 min. drying time were found optimum for product quality at a desirability of 0.91 for Luvhele; while 127.67 W, 12 min. with a desirability of 0.86 was predicted for Mabonde. The result of this study could be used as a standard for microwave processing of Luvhele and Mabondebanana varieties. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-09-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612015000300438 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612015000300438 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1678-457X.6700 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Ciência e Tecnologia de Alimentos |
publisher.none.fl_str_mv |
Sociedade Brasileira de Ciência e Tecnologia de Alimentos |
dc.source.none.fl_str_mv |
Food Science and Technology v.35 n.3 2015 reponame:Food Science and Technology (Campinas) instname:Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA) instacron:SBCTA |
instname_str |
Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA) |
instacron_str |
SBCTA |
institution |
SBCTA |
reponame_str |
Food Science and Technology (Campinas) |
collection |
Food Science and Technology (Campinas) |
repository.name.fl_str_mv |
Food Science and Technology (Campinas) - Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA) |
repository.mail.fl_str_mv |
||revista@sbcta.org.br |
_version_ |
1752126319925133312 |