Detection of adulterants in grape nectars by attenuated total reflectance fourier-transform mid-infrared spectroscopy and multivariate classification strategies

Detalhes bibliográficos
Autor(a) principal: Carolina Sheng Whei Miaw
Data de Publicação: 2018
Outros Autores: Marcelo Martins Sena, Scheilla Vitorino Carvalho de Souza, Maria Pilar Callao, Itziar Ruisanchez
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFMG
Texto Completo: http://hdl.handle.net/1843/39603
Resumo: CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
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spelling 2022-02-23T09:50:23Z2022-02-23T09:50:23Z201826625426110.1016/j.foodchem.2018.06.00603088146http://hdl.handle.net/1843/39603CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível SuperiorThere is no any doubt about the importance of food fraud control, as it has implications in food safety and in consumer health. Focusing on fruit beverages, some types of adulterations have been detected more frequently, such as substitution with less expensive fruits. A methodology based on attenuated total reflectance Fourier-transform mid-infrared spectroscopy (ATR-FTIR) and multivariate classification was applied to detect whether grape nectars were adulterated by substitution with apple juice or cashew juice. A total of 126 samples were obtained and analyzed. Two strategies were proposed: one-class and multiclass approaches. Soft independent modeling of class analogy (SIMCA), partial least squares discriminant analysis (PLS-DA) and partial least squares density modeling (PLS-DM) were used to build the models. Among them, PLS-DA presented the best performance with a sensitivity and specificity of nearly 100%. The multiclass strategy was preferred if the adulterants to be studied are known because it provides additional information.engUniversidade Federal de Minas GeraisUFMGBrasilFAR - DEPARTAMENTO DE ALIMENTOSICX - DEPARTAMENTO DE QUÍMICAFood ChemistryTecnologia de alimentosSucosFood adulterationFruit nectarPLS-DASIMCAOne-class classificationMulticlass classificationDetection of adulterants in grape nectars by attenuated total reflectance fourier-transform mid-infrared spectroscopy and multivariate classification strategiesinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttps://www.sciencedirect.com/science/article/pii/S0308814618309671Carolina Sheng Whei MiawMarcelo Martins SenaScheilla Vitorino Carvalho de SouzaMaria Pilar CallaoItziar Ruisanchezapplication/pdfinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFMGinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGLICENSELicense.txtLicense.txttext/plain; charset=utf-82042https://repositorio.ufmg.br/bitstream/1843/39603/1/License.txtfa505098d172de0bc8864fc1287ffe22MD51ORIGINALDetection of adulterants in grape nectars by attenuated total reflectance Fourier-transform mid-infrared spectroscopy and multivariate classification strategies.pdfDetection of adulterants in grape nectars by attenuated total reflectance Fourier-transform mid-infrared spectroscopy and multivariate classification strategies.pdfapplication/pdf958788https://repositorio.ufmg.br/bitstream/1843/39603/2/Detection%20of%20adulterants%20in%20grape%20nectars%20by%20attenuated%20total%20reflectance%20Fourier-transform%20mid-infrared%20spectroscopy%20and%20multivariate%20classification%20strategies.pdf76558f368778cb7fa4209a877a4ba02eMD521843/396032022-02-23 06:50:23.907oai:repositorio.ufmg.br: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Repositório de PublicaçõesPUBhttps://repositorio.ufmg.br/oaiopendoar:2022-02-23T09:50:23Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)false
dc.title.pt_BR.fl_str_mv Detection of adulterants in grape nectars by attenuated total reflectance fourier-transform mid-infrared spectroscopy and multivariate classification strategies
title Detection of adulterants in grape nectars by attenuated total reflectance fourier-transform mid-infrared spectroscopy and multivariate classification strategies
spellingShingle Detection of adulterants in grape nectars by attenuated total reflectance fourier-transform mid-infrared spectroscopy and multivariate classification strategies
Carolina Sheng Whei Miaw
Food adulteration
Fruit nectar
PLS-DA
SIMCA
One-class classification
Multiclass classification
Tecnologia de alimentos
Sucos
title_short Detection of adulterants in grape nectars by attenuated total reflectance fourier-transform mid-infrared spectroscopy and multivariate classification strategies
title_full Detection of adulterants in grape nectars by attenuated total reflectance fourier-transform mid-infrared spectroscopy and multivariate classification strategies
title_fullStr Detection of adulterants in grape nectars by attenuated total reflectance fourier-transform mid-infrared spectroscopy and multivariate classification strategies
title_full_unstemmed Detection of adulterants in grape nectars by attenuated total reflectance fourier-transform mid-infrared spectroscopy and multivariate classification strategies
title_sort Detection of adulterants in grape nectars by attenuated total reflectance fourier-transform mid-infrared spectroscopy and multivariate classification strategies
author Carolina Sheng Whei Miaw
author_facet Carolina Sheng Whei Miaw
Marcelo Martins Sena
Scheilla Vitorino Carvalho de Souza
Maria Pilar Callao
Itziar Ruisanchez
author_role author
author2 Marcelo Martins Sena
Scheilla Vitorino Carvalho de Souza
Maria Pilar Callao
Itziar Ruisanchez
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Carolina Sheng Whei Miaw
Marcelo Martins Sena
Scheilla Vitorino Carvalho de Souza
Maria Pilar Callao
Itziar Ruisanchez
dc.subject.por.fl_str_mv Food adulteration
Fruit nectar
PLS-DA
SIMCA
One-class classification
Multiclass classification
topic Food adulteration
Fruit nectar
PLS-DA
SIMCA
One-class classification
Multiclass classification
Tecnologia de alimentos
Sucos
dc.subject.other.pt_BR.fl_str_mv Tecnologia de alimentos
Sucos
description CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
publishDate 2018
dc.date.issued.fl_str_mv 2018
dc.date.accessioned.fl_str_mv 2022-02-23T09:50:23Z
dc.date.available.fl_str_mv 2022-02-23T09:50:23Z
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 http://hdl.handle.net/1843/39603
dc.identifier.doi.pt_BR.fl_str_mv 10.1016/j.foodchem.2018.06.006
dc.identifier.issn.pt_BR.fl_str_mv 03088146
identifier_str_mv 10.1016/j.foodchem.2018.06.006
03088146
url http://hdl.handle.net/1843/39603
dc.language.iso.fl_str_mv eng
language eng
dc.relation.ispartof.pt_BR.fl_str_mv Food Chemistry
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Minas Gerais
dc.publisher.initials.fl_str_mv UFMG
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv FAR - DEPARTAMENTO DE ALIMENTOS
ICX - DEPARTAMENTO DE QUÍMICA
publisher.none.fl_str_mv Universidade Federal de Minas Gerais
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFMG
instname:Universidade Federal de Minas Gerais (UFMG)
instacron:UFMG
instname_str Universidade Federal de Minas Gerais (UFMG)
instacron_str UFMG
institution UFMG
reponame_str Repositório Institucional da UFMG
collection Repositório Institucional da UFMG
bitstream.url.fl_str_mv https://repositorio.ufmg.br/bitstream/1843/39603/1/License.txt
https://repositorio.ufmg.br/bitstream/1843/39603/2/Detection%20of%20adulterants%20in%20grape%20nectars%20by%20attenuated%20total%20reflectance%20Fourier-transform%20mid-infrared%20spectroscopy%20and%20multivariate%20classification%20strategies.pdf
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