Detection of several common adulterants in raw milk by mid-infrared spectroscopy and one-class and multi-class multivariate strategies

Detalhes bibliográficos
Autor(a) principal: Carina de Souza Gondim
Data de Publicação: 2017
Outros Autores: Roberto Gonçalves Junqueira, Scheilla Vitorino Carvalho de Souza, Itziar Ruisánchez, Maria Pilar Callao
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFMG
Texto Completo: http://hdl.handle.net/1843/40513
Resumo: CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
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spelling 2022-03-28T20:14:18Z2022-03-28T20:14:18Z2017-09230687510.1016/j.foodchem.2017.03.02203088146http://hdl.handle.net/1843/40513CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível SuperiorA sequential strategy was proposed to detect adulterants in milk using a mid-infrared spectroscopy and soft independent modelling of class analogy technique. Models were set with low target levels of adulterations including formaldehyde (0.074 g.L−1), hydrogen peroxide (21.0 g.L−1), bicarbonate (4.0 g.L−1), carbonate (4.0 g.L−1), chloride (5.0 g.L−1), citrate (6.5 g.L−1), hydroxide (4.0 g.L−1), hypochlorite (0.2 g.L−1), starch (5.0 g.L−1), sucrose (5.4 g.L−1) and water (150 g.L−1). In the first step, a one-class model was developed with unadulterated samples, providing 93.1% sensitivity. Four poorly assigned adulterants were discarded for the following step (multi-class modelling). Then, in the second step, a multi-class model, which considered unadulterated and formaldehyde-, hydrogen peroxide-, citrate-, hydroxide- and starch-adulterated samples was implemented, providing 82% correct classifications, 17% inconclusive classifications and 1% misclassifications. The proposed strategy was considered efficient as a screening approach since it would reduce the number of samples subjected to confirmatory analysis, time, costs and errors.engUniversidade Federal de Minas GeraisUFMGBrasilFAR - DEPARTAMENTO DE ALIMENTOSFood ChemistryTecnologia de alimentosLeiteMilk adulterationOne-class modellingAdulterant detectionMulti-class modellingMultivariate SIMCA screeningDetection of several common adulterants in raw milk by mid-infrared spectroscopy and one-class and multi-class multivariate strategiesinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttps://www.sciencedirect.com/science/article/pii/S0308814617303874Carina de Souza GondimRoberto Gonçalves JunqueiraScheilla Vitorino Carvalho de SouzaItziar RuisánchezMaria Pilar Callaoapplication/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/1843/40513/1/License.txtfa505098d172de0bc8864fc1287ffe22MD51ORIGINALDetection of several common adulterants in raw milk by MID-infrared spectroscopy and one-class and multi-class multivariate strategies.pdfDetection of several common adulterants in raw milk by MID-infrared spectroscopy and one-class and multi-class multivariate strategies.pdfapplication/pdf945253https://repositorio.ufmg.br/bitstream/1843/40513/2/Detection%20of%20several%20common%20adulterants%20in%20raw%20milk%20by%20MID-infrared%20spectroscopy%20and%20one-class%20and%20multi-class%20multivariate%20strategies.pdfc0dc42af9309b836dda65aed9951b9b8MD521843/405132022-03-28 17:14:19.126oai:repositorio.ufmg.br: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Repositório de PublicaçõesPUBhttps://repositorio.ufmg.br/oaiopendoar:2022-03-28T20:14:19Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)false
dc.title.pt_BR.fl_str_mv Detection of several common adulterants in raw milk by mid-infrared spectroscopy and one-class and multi-class multivariate strategies
title Detection of several common adulterants in raw milk by mid-infrared spectroscopy and one-class and multi-class multivariate strategies
spellingShingle Detection of several common adulterants in raw milk by mid-infrared spectroscopy and one-class and multi-class multivariate strategies
Carina de Souza Gondim
Milk adulteration
One-class modelling
Adulterant detection
Multi-class modelling
Multivariate SIMCA screening
Tecnologia de alimentos
Leite
title_short Detection of several common adulterants in raw milk by mid-infrared spectroscopy and one-class and multi-class multivariate strategies
title_full Detection of several common adulterants in raw milk by mid-infrared spectroscopy and one-class and multi-class multivariate strategies
title_fullStr Detection of several common adulterants in raw milk by mid-infrared spectroscopy and one-class and multi-class multivariate strategies
title_full_unstemmed Detection of several common adulterants in raw milk by mid-infrared spectroscopy and one-class and multi-class multivariate strategies
title_sort Detection of several common adulterants in raw milk by mid-infrared spectroscopy and one-class and multi-class multivariate strategies
author Carina de Souza Gondim
author_facet Carina de Souza Gondim
Roberto Gonçalves Junqueira
Scheilla Vitorino Carvalho de Souza
Itziar Ruisánchez
Maria Pilar Callao
author_role author
author2 Roberto Gonçalves Junqueira
Scheilla Vitorino Carvalho de Souza
Itziar Ruisánchez
Maria Pilar Callao
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Carina de Souza Gondim
Roberto Gonçalves Junqueira
Scheilla Vitorino Carvalho de Souza
Itziar Ruisánchez
Maria Pilar Callao
dc.subject.por.fl_str_mv Milk adulteration
One-class modelling
Adulterant detection
Multi-class modelling
Multivariate SIMCA screening
topic Milk adulteration
One-class modelling
Adulterant detection
Multi-class modelling
Multivariate SIMCA screening
Tecnologia de alimentos
Leite
dc.subject.other.pt_BR.fl_str_mv Tecnologia de alimentos
Leite
description CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
publishDate 2017
dc.date.issued.fl_str_mv 2017-09
dc.date.accessioned.fl_str_mv 2022-03-28T20:14:18Z
dc.date.available.fl_str_mv 2022-03-28T20:14:18Z
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/1843/40513
dc.identifier.doi.pt_BR.fl_str_mv 10.1016/j.foodchem.2017.03.022
dc.identifier.issn.pt_BR.fl_str_mv 03088146
identifier_str_mv 10.1016/j.foodchem.2017.03.022
03088146
url http://hdl.handle.net/1843/40513
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
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)
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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/1843/40513/1/License.txt
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