Protected geographical identification of honey by spark discharge-assisted laser-induced breakdown spectroscopy (LIBS)

Autores
Fechner, Diana Corina; Silva, Tiago Varão; Nespeca, Maurilio Gustavo; Vieira, Alan Lima; Neto, Joséanchieta Gomes; Júnior, Dário Santos; Pellerano, Roberto Gerardo; Ferreira, Edilene Cristina
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Honey is a natural food that is valued worldwide for its nutritional and therapeutic values. Therefore, authentication of honey according to the geographical origin is a guarantee of the genuine properties. In this article, an evaluation of spark discharge-assisted laser-induced breakdown spectroscopy (SD-LIBS) for certification of the geographical origin of honey is reported. Forty-nine samples of multifloral honey produced in four Argentine provinces were considered. The results showed the best classification performance was obtained using smoothing, generalized least squares weighting (GLSW) and mean centering for spectral preprocessing, added to the k-nearest neighbor (kNN) or Support Vector Machine (SVM) classification algorithms, which provided 100% of correct classification. More importantly, the results of Partial Least Squares – Discriminant Analysis (PLS-DA) pointed to N, Ca, K, Cu, Fe and Mn as key elements for the certification of geographical origin. In addition, the greatest potential of N stands out for the discrimination of the origin of honey. These findings confirm SD-LIBS as a promising tool for authentication of honey quality, providing a simple, fast and environmentally friendly solution. The method can be useful for industry, the market and others related to food authenticity.
Fil: Fechner, Diana Corina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Química Básica y Aplicada del Nordeste Argentino. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas Naturales y Agrimensura. Instituto de Química Básica y Aplicada del Nordeste Argentino; Argentina
Fil: Silva, Tiago Varão. Universidade Estadual Paulista Julio de Mesquita Filho; Brasil
Fil: Nespeca, Maurilio Gustavo. Universidade Estadual Paulista Julio de Mesquita Filho; Brasil
Fil: Vieira, Alan Lima. Universidade Estadual Paulista Julio de Mesquita Filho; Brasil
Fil: Neto, Joséanchieta Gomes. Universidade Estadual Paulista Julio de Mesquita Filho; Brasil
Fil: Júnior, Dário Santos. Universidade Estadual Paulista Julio de Mesquita Filho; Brasil
Fil: Pellerano, Roberto Gerardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Química Básica y Aplicada del Nordeste Argentino. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas Naturales y Agrimensura. Instituto de Química Básica y Aplicada del Nordeste Argentino; Argentina
Fil: Ferreira, Edilene Cristina. Universidade Estadual Paulista Julio de Mesquita Filho; Brasil
Materia
HONEY
NATURAL FOODS
AUTHENTICATION
SD-LIBS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/150767
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/150767
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Protected geographical identification of honey by spark discharge-assisted laser-induced breakdown spectroscopy (LIBS)Fechner, Diana CorinaSilva, Tiago VarãoNespeca, Maurilio GustavoVieira, Alan LimaNeto, Joséanchieta GomesJúnior, Dário SantosPellerano, Roberto GerardoFerreira, Edilene CristinaHONEYNATURAL FOODSAUTHENTICATIONSD-LIBShttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1Honey is a natural food that is valued worldwide for its nutritional and therapeutic values. Therefore, authentication of honey according to the geographical origin is a guarantee of the genuine properties. In this article, an evaluation of spark discharge-assisted laser-induced breakdown spectroscopy (SD-LIBS) for certification of the geographical origin of honey is reported. Forty-nine samples of multifloral honey produced in four Argentine provinces were considered. The results showed the best classification performance was obtained using smoothing, generalized least squares weighting (GLSW) and mean centering for spectral preprocessing, added to the k-nearest neighbor (kNN) or Support Vector Machine (SVM) classification algorithms, which provided 100% of correct classification. More importantly, the results of Partial Least Squares – Discriminant Analysis (PLS-DA) pointed to N, Ca, K, Cu, Fe and Mn as key elements for the certification of geographical origin. In addition, the greatest potential of N stands out for the discrimination of the origin of honey. These findings confirm SD-LIBS as a promising tool for authentication of honey quality, providing a simple, fast and environmentally friendly solution. The method can be useful for industry, the market and others related to food authenticity.Fil: Fechner, Diana Corina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Química Básica y Aplicada del Nordeste Argentino. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas Naturales y Agrimensura. Instituto de Química Básica y Aplicada del Nordeste Argentino; ArgentinaFil: Silva, Tiago Varão. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilFil: Nespeca, Maurilio Gustavo. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilFil: Vieira, Alan Lima. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilFil: Neto, Joséanchieta Gomes. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilFil: Júnior, Dário Santos. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilFil: Pellerano, Roberto Gerardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Química Básica y Aplicada del Nordeste Argentino. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas Naturales y Agrimensura. Instituto de Química Básica y Aplicada del Nordeste Argentino; ArgentinaFil: Ferreira, Edilene Cristina. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilPerkin-Elmer Corporation2021-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/150767Fechner, Diana Corina; Silva, Tiago Varão; Nespeca, Maurilio Gustavo; Vieira, Alan Lima; Neto, Joséanchieta Gomes; et al.; Protected geographical identification of honey by spark discharge-assisted laser-induced breakdown spectroscopy (LIBS); Perkin-Elmer Corporation; Atomic Spectroscopy; 42; 3; 5-2021; 148-1530195-5373CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.at-spectrosc.com/as/article/pdf/2021022info:eu-repo/semantics/altIdentifier/doi/10.46770/AS.2021.022info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:00:29Zoai:ri.conicet.gov.ar:11336/150767instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:00:29.8CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Protected geographical identification of honey by spark discharge-assisted laser-induced breakdown spectroscopy (LIBS)
title Protected geographical identification of honey by spark discharge-assisted laser-induced breakdown spectroscopy (LIBS)
spellingShingle Protected geographical identification of honey by spark discharge-assisted laser-induced breakdown spectroscopy (LIBS)
Fechner, Diana Corina
HONEY
NATURAL FOODS
AUTHENTICATION
SD-LIBS
title_short Protected geographical identification of honey by spark discharge-assisted laser-induced breakdown spectroscopy (LIBS)
title_full Protected geographical identification of honey by spark discharge-assisted laser-induced breakdown spectroscopy (LIBS)
title_fullStr Protected geographical identification of honey by spark discharge-assisted laser-induced breakdown spectroscopy (LIBS)
title_full_unstemmed Protected geographical identification of honey by spark discharge-assisted laser-induced breakdown spectroscopy (LIBS)
title_sort Protected geographical identification of honey by spark discharge-assisted laser-induced breakdown spectroscopy (LIBS)
dc.creator.none.fl_str_mv Fechner, Diana Corina
Silva, Tiago Varão
Nespeca, Maurilio Gustavo
Vieira, Alan Lima
Neto, Joséanchieta Gomes
Júnior, Dário Santos
Pellerano, Roberto Gerardo
Ferreira, Edilene Cristina
author Fechner, Diana Corina
author_facet Fechner, Diana Corina
Silva, Tiago Varão
Nespeca, Maurilio Gustavo
Vieira, Alan Lima
Neto, Joséanchieta Gomes
Júnior, Dário Santos
Pellerano, Roberto Gerardo
Ferreira, Edilene Cristina
author_role author
author2 Silva, Tiago Varão
Nespeca, Maurilio Gustavo
Vieira, Alan Lima
Neto, Joséanchieta Gomes
Júnior, Dário Santos
Pellerano, Roberto Gerardo
Ferreira, Edilene Cristina
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv HONEY
NATURAL FOODS
AUTHENTICATION
SD-LIBS
topic HONEY
NATURAL FOODS
AUTHENTICATION
SD-LIBS
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Honey is a natural food that is valued worldwide for its nutritional and therapeutic values. Therefore, authentication of honey according to the geographical origin is a guarantee of the genuine properties. In this article, an evaluation of spark discharge-assisted laser-induced breakdown spectroscopy (SD-LIBS) for certification of the geographical origin of honey is reported. Forty-nine samples of multifloral honey produced in four Argentine provinces were considered. The results showed the best classification performance was obtained using smoothing, generalized least squares weighting (GLSW) and mean centering for spectral preprocessing, added to the k-nearest neighbor (kNN) or Support Vector Machine (SVM) classification algorithms, which provided 100% of correct classification. More importantly, the results of Partial Least Squares – Discriminant Analysis (PLS-DA) pointed to N, Ca, K, Cu, Fe and Mn as key elements for the certification of geographical origin. In addition, the greatest potential of N stands out for the discrimination of the origin of honey. These findings confirm SD-LIBS as a promising tool for authentication of honey quality, providing a simple, fast and environmentally friendly solution. The method can be useful for industry, the market and others related to food authenticity.
Fil: Fechner, Diana Corina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Química Básica y Aplicada del Nordeste Argentino. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas Naturales y Agrimensura. Instituto de Química Básica y Aplicada del Nordeste Argentino; Argentina
Fil: Silva, Tiago Varão. Universidade Estadual Paulista Julio de Mesquita Filho; Brasil
Fil: Nespeca, Maurilio Gustavo. Universidade Estadual Paulista Julio de Mesquita Filho; Brasil
Fil: Vieira, Alan Lima. Universidade Estadual Paulista Julio de Mesquita Filho; Brasil
Fil: Neto, Joséanchieta Gomes. Universidade Estadual Paulista Julio de Mesquita Filho; Brasil
Fil: Júnior, Dário Santos. Universidade Estadual Paulista Julio de Mesquita Filho; Brasil
Fil: Pellerano, Roberto Gerardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Química Básica y Aplicada del Nordeste Argentino. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas Naturales y Agrimensura. Instituto de Química Básica y Aplicada del Nordeste Argentino; Argentina
Fil: Ferreira, Edilene Cristina. Universidade Estadual Paulista Julio de Mesquita Filho; Brasil
description Honey is a natural food that is valued worldwide for its nutritional and therapeutic values. Therefore, authentication of honey according to the geographical origin is a guarantee of the genuine properties. In this article, an evaluation of spark discharge-assisted laser-induced breakdown spectroscopy (SD-LIBS) for certification of the geographical origin of honey is reported. Forty-nine samples of multifloral honey produced in four Argentine provinces were considered. The results showed the best classification performance was obtained using smoothing, generalized least squares weighting (GLSW) and mean centering for spectral preprocessing, added to the k-nearest neighbor (kNN) or Support Vector Machine (SVM) classification algorithms, which provided 100% of correct classification. More importantly, the results of Partial Least Squares – Discriminant Analysis (PLS-DA) pointed to N, Ca, K, Cu, Fe and Mn as key elements for the certification of geographical origin. In addition, the greatest potential of N stands out for the discrimination of the origin of honey. These findings confirm SD-LIBS as a promising tool for authentication of honey quality, providing a simple, fast and environmentally friendly solution. The method can be useful for industry, the market and others related to food authenticity.
publishDate 2021
dc.date.none.fl_str_mv 2021-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/150767
Fechner, Diana Corina; Silva, Tiago Varão; Nespeca, Maurilio Gustavo; Vieira, Alan Lima; Neto, Joséanchieta Gomes; et al.; Protected geographical identification of honey by spark discharge-assisted laser-induced breakdown spectroscopy (LIBS); Perkin-Elmer Corporation; Atomic Spectroscopy; 42; 3; 5-2021; 148-153
0195-5373
CONICET Digital
CONICET
url http://hdl.handle.net/11336/150767
identifier_str_mv Fechner, Diana Corina; Silva, Tiago Varão; Nespeca, Maurilio Gustavo; Vieira, Alan Lima; Neto, Joséanchieta Gomes; et al.; Protected geographical identification of honey by spark discharge-assisted laser-induced breakdown spectroscopy (LIBS); Perkin-Elmer Corporation; Atomic Spectroscopy; 42; 3; 5-2021; 148-153
0195-5373
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.at-spectrosc.com/as/article/pdf/2021022
info:eu-repo/semantics/altIdentifier/doi/10.46770/AS.2021.022
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Perkin-Elmer Corporation
publisher.none.fl_str_mv Perkin-Elmer Corporation
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.9626465

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