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

There 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 attenua...

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Detalles Bibliográficos
Autores: Carolina Sheng Whei Miaw, Marcelo Martins Sena, Scheilla Vitorino Carvalho de Souza, Maria Pilar Callao, Itziar Ruisanchez
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2018
País:Brasil
Institución:Universidade Federal de Minas Gerais (UFMG)
Repositorio:Repositório Institucional da UFMG
Idioma:inglés
OAI Identifier:oai:repositorio.ufmg.br:1843/39603
Acceso en línea:http://hdl.handle.net/1843/39603
Access Level:acceso abierto
Palabra clave:Food adulteration
Fruit nectar
PLS-DA
SIMCA
One-class classification
Multiclass classification
Tecnologia de alimentos
Sucos
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spelling Detection of adulterants in grape nectars by attenuated total reflectance fourier-transform mid-infrared spectroscopy and multivariate classification strategiesFood adulterationFruit nectarPLS-DASIMCAOne-class classificationMulticlass classificationTecnologia de alimentosSucosThere 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.CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível SuperiorUniversidade Federal de Minas GeraisBrasilFAR - DEPARTAMENTO DE ALIMENTOSICX - DEPARTAMENTO DE QUÍMICAUFMG2022-02-23T09:50:23Z2022-02-23T09:50:23Z2018info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlepdfapplication/pdf10.1016/j.foodchem.2018.06.00603088146http://hdl.handle.net/1843/39603engFood Chemistryinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFMGinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGCarolina Sheng Whei MiawMarcelo Martins SenaScheilla Vitorino Carvalho de SouzaMaria Pilar CallaoItziar Ruisanchez2022-02-23T09:50:23Zoai:repositorio.ufmg.br:1843/39603Repositório InstitucionalPUBhttps://repositorio.ufmg.br/oairepositorio@ufmg.bropendoar:2022-02-23T09:50:23Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)false
dc.title.none.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
dc.creator.none.fl_str_mv Carolina Sheng Whei Miaw
Marcelo Martins Sena
Scheilla Vitorino Carvalho de Souza
Maria Pilar Callao
Itziar Ruisanchez
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.subject.por.fl_str_mv Food adulteration
Fruit nectar
PLS-DA
SIMCA
One-class classification
Multiclass classification
Tecnologia de alimentos
Sucos
topic Food adulteration
Fruit nectar
PLS-DA
SIMCA
One-class classification
Multiclass classification
Tecnologia de alimentos
Sucos
description There 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.
publishDate 2018
dc.date.none.fl_str_mv 2018
2022-02-23T09:50:23Z
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 10.1016/j.foodchem.2018.06.006
03088146
http://hdl.handle.net/1843/39603
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.none.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 pdf
application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Minas Gerais
Brasil
FAR - DEPARTAMENTO DE ALIMENTOS
ICX - DEPARTAMENTO DE QUÍMICA
UFMG
publisher.none.fl_str_mv Universidade Federal de Minas Gerais
Brasil
FAR - DEPARTAMENTO DE ALIMENTOS
ICX - DEPARTAMENTO DE QUÍMICA
UFMG
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
repository.name.fl_str_mv Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)
repository.mail.fl_str_mv repositorio@ufmg.br
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score 15,300719

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