Identification of roselle varieties through simple discriminating physicochemical characteristics using multivariate analysis

Detalhes bibliográficos
Autor(a) principal: KANE,Alé
Data de Publicação: 2019
Outros Autores: ACHIR,Nawel, CISSE,Mady, PALLET,Dominique, SAKHO,Mama, DORNIER,Manuel
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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spelling 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
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