Identification of roselle varieties through simple discriminating physicochemical characteristics using multivariate analysis
Autor(a) principal: | |
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Data de Publicação: | 2019 |
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=S0101-20612019000200321 |
Resumo: | Abstract The objective of this work is to study the feasibility of a more objective and rigorous classification of the calices of Hibiscus sabdariffa based on their physicochemical profile. To do so, 19 analyses were carried out on 4 varieties of calices cultivated in Senegal: Vimto, Koor, Thaï and CLT92. Principal component analysis results showed that 15 physicochemical and biochemical parameters could be potentially used to discriminate the varieties of calices. Polyphenolic and anthocyanin contents were anti-correlated to protein content and could be used to differentiate the Vimto/CLT92 and the Koor/Thaï varieties. Within these two clusters, pH and lipid content could discriminate each variety. Finally, factorial discriminant analysis showed that total anthocyanin content, lipid content and chromaticity C* were the 3 parameters enabling the most efficient classification of calices according to variety and led to 100% classification accuracy. |
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Identification of roselle varieties through simple discriminating physicochemical characteristics using multivariate analysisHibiscus sabdariffa L.discriminant analysiscolouranthocyaninAbstract The objective of this work is to study the feasibility of a more objective and rigorous classification of the calices of Hibiscus sabdariffa based on their physicochemical profile. To do so, 19 analyses were carried out on 4 varieties of calices cultivated in Senegal: Vimto, Koor, Thaï and CLT92. Principal component analysis results showed that 15 physicochemical and biochemical parameters could be potentially used to discriminate the varieties of calices. Polyphenolic and anthocyanin contents were anti-correlated to protein content and could be used to differentiate the Vimto/CLT92 and the Koor/Thaï varieties. Within these two clusters, pH and lipid content could discriminate each variety. Finally, factorial discriminant analysis showed that total anthocyanin content, lipid content and chromaticity C* were the 3 parameters enabling the most efficient classification of calices according to variety and led to 100% classification accuracy.Sociedade Brasileira de Ciência e Tecnologia de Alimentos2019-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612019000200321Food Science and Technology v.39 n.2 2019reponame:Food Science and Technology (Campinas)instname:Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA)instacron:SBCTA10.1590/1678-457x.29417info:eu-repo/semantics/openAccessKANE,AléACHIR,NawelCISSE,MadyPALLET,DominiqueSAKHO,MamaDORNIER,Manueleng2019-06-04T00:00:00Zoai:scielo:S0101-20612019000200321Revistahttp://www.scielo.br/ctaONGhttps://old.scielo.br/oai/scielo-oai.php||revista@sbcta.org.br1678-457X0101-2061opendoar:2019-06-04T00:00Food Science and Technology (Campinas) - Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA)false |
dc.title.none.fl_str_mv |
Identification of roselle varieties through simple discriminating physicochemical characteristics using multivariate analysis |
title |
Identification of roselle varieties through simple discriminating physicochemical characteristics using multivariate analysis |
spellingShingle |
Identification of roselle varieties through simple discriminating physicochemical characteristics using multivariate analysis KANE,Alé Hibiscus sabdariffa L. discriminant analysis colour anthocyanin |
title_short |
Identification of roselle varieties through simple discriminating physicochemical characteristics using multivariate analysis |
title_full |
Identification of roselle varieties through simple discriminating physicochemical characteristics using multivariate analysis |
title_fullStr |
Identification of roselle varieties through simple discriminating physicochemical characteristics using multivariate analysis |
title_full_unstemmed |
Identification of roselle varieties through simple discriminating physicochemical characteristics using multivariate analysis |
title_sort |
Identification of roselle varieties through simple discriminating physicochemical characteristics using multivariate analysis |
author |
KANE,Alé |
author_facet |
KANE,Alé ACHIR,Nawel CISSE,Mady PALLET,Dominique SAKHO,Mama DORNIER,Manuel |
author_role |
author |
author2 |
ACHIR,Nawel CISSE,Mady PALLET,Dominique SAKHO,Mama DORNIER,Manuel |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
KANE,Alé ACHIR,Nawel CISSE,Mady PALLET,Dominique SAKHO,Mama DORNIER,Manuel |
dc.subject.por.fl_str_mv |
Hibiscus sabdariffa L. discriminant analysis colour anthocyanin |
topic |
Hibiscus sabdariffa L. discriminant analysis colour anthocyanin |
description |
Abstract The objective of this work is to study the feasibility of a more objective and rigorous classification of the calices of Hibiscus sabdariffa based on their physicochemical profile. To do so, 19 analyses were carried out on 4 varieties of calices cultivated in Senegal: Vimto, Koor, Thaï and CLT92. Principal component analysis results showed that 15 physicochemical and biochemical parameters could be potentially used to discriminate the varieties of calices. Polyphenolic and anthocyanin contents were anti-correlated to protein content and could be used to differentiate the Vimto/CLT92 and the Koor/Thaï varieties. Within these two clusters, pH and lipid content could discriminate each variety. Finally, factorial discriminant analysis showed that total anthocyanin content, lipid content and chromaticity C* were the 3 parameters enabling the most efficient classification of calices according to variety and led to 100% classification accuracy. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-06-01 |
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=S0101-20612019000200321 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612019000200321 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1678-457x.29417 |
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.39 n.2 2019 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_ |
1752126323828981760 |