Discrimination of production environments of specialty coffees by means of stable isotopes and discriminant model

Detalhes bibliográficos
Autor(a) principal: Barbosa, Juliana Nevez
Data de Publicação: 2014
Outros Autores: Borem, Flávio Meira, Alves, Helena Maria Ramos, Cirillo, Marcelo, Sartori, Maria Márcia Pereira [UNESP], Ducatti, Carlos [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.5539/jas.v6n5p55
http://hdl.handle.net/11449/137208
Resumo: The south of Minas Gerais, Brazil stands out among various regions through its capacity for production of specialty coffees. Its potential, manifested through being one of the most award-winning Brazilian regions in recent years, has been recognized by the Cup of Excellence (COE). With the evident relationship between product quality and the environment in mind, the need arises for scientific studies to provide a foundation for discrimination of product origin, creating new methods for combating possible fraud. The aim of this study was to evaluate the use of carbon and nitrogen isotopes in discrimination of production environments of specialty coffees from the Serra da Mantiqueira of Minas Gerais by means of the discriminant model. Coffee samples were composed of ripe yellow and red fruits collected manually at altitudes below 1,000 m, from 1,000 to 1,200 m and above 1,200 m. The yellow and red fruits were subjected to dry processing and wet processing, with five replications. A total of 119 samples were used for discrimination of specialty coffee production environments by means of stable isotopes and statistical modeling. The model generated had an accuracy rate of 89% in discrimination of environments and was composed of the isotope variables of δ15N, δ13C, %C, %N, δD, δ18O (meteoric water) and sensory analysis scores. In addition, for the first time, discrimination of environments on a local geographic scale, within a single municipality, was proposed and successfully concluded. This shows that isotope analysis is an effective method in verifying geographic origin for specialty coffees.
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spelling Discrimination of production environments of specialty coffees by means of stable isotopes and discriminant modelGeographic originalitySpecialty coffeesAltitudeIsotopesThe south of Minas Gerais, Brazil stands out among various regions through its capacity for production of specialty coffees. Its potential, manifested through being one of the most award-winning Brazilian regions in recent years, has been recognized by the Cup of Excellence (COE). With the evident relationship between product quality and the environment in mind, the need arises for scientific studies to provide a foundation for discrimination of product origin, creating new methods for combating possible fraud. The aim of this study was to evaluate the use of carbon and nitrogen isotopes in discrimination of production environments of specialty coffees from the Serra da Mantiqueira of Minas Gerais by means of the discriminant model. Coffee samples were composed of ripe yellow and red fruits collected manually at altitudes below 1,000 m, from 1,000 to 1,200 m and above 1,200 m. The yellow and red fruits were subjected to dry processing and wet processing, with five replications. A total of 119 samples were used for discrimination of specialty coffee production environments by means of stable isotopes and statistical modeling. The model generated had an accuracy rate of 89% in discrimination of environments and was composed of the isotope variables of δ15N, δ13C, %C, %N, δD, δ18O (meteoric water) and sensory analysis scores. In addition, for the first time, discrimination of environments on a local geographic scale, within a single municipality, was proposed and successfully concluded. This shows that isotope analysis is an effective method in verifying geographic origin for specialty coffees.Universidade Federal de Lavras (UFLA), Departamento de Biologia, Lavras, MG, BrasilUniversidade Federal de Lavras (UFLA), Departamento de Engenharia, Lavras, MG, BrasilUniversidade Estadual Paulista Júlio de Mesquita Filho (UNESP), Instituto de Biociências Botucatu (IBB), Departamento de Física e Biofísica, Botucatu, SP, BrasilUniversidade Estadual Paulista Júlio de Mesquita Filho (UNESP), Instituto de Biociências Botucatu (IBB), Departamento de Física e Biofísica, Botucatu, SP, BrasilUniversidade Federal de Lavras (UFLA)Universidade Estadual Paulista (Unesp)Barbosa, Juliana NevezBorem, Flávio MeiraAlves, Helena Maria RamosCirillo, MarceloSartori, Maria Márcia Pereira [UNESP]Ducatti, Carlos [UNESP]2016-04-01T18:44:41Z2016-04-01T18:44:41Z2014info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article55-64http://dx.doi.org/10.5539/jas.v6n5p55Journal of Agricultural Science, v. 6, n. 5, p. 55-64, 2014.1916-9760http://hdl.handle.net/11449/13720810.5539/jas.v6n5p5510302517439432170160407381424066Currículo Lattesreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of Agricultural Scienceinfo:eu-repo/semantics/openAccess2021-10-23T04:24:16Zoai:repositorio.unesp.br:11449/137208Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T04:24:16Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Discrimination of production environments of specialty coffees by means of stable isotopes and discriminant model
title Discrimination of production environments of specialty coffees by means of stable isotopes and discriminant model
spellingShingle Discrimination of production environments of specialty coffees by means of stable isotopes and discriminant model
Barbosa, Juliana Nevez
Geographic originality
Specialty coffees
Altitude
Isotopes
title_short Discrimination of production environments of specialty coffees by means of stable isotopes and discriminant model
title_full Discrimination of production environments of specialty coffees by means of stable isotopes and discriminant model
title_fullStr Discrimination of production environments of specialty coffees by means of stable isotopes and discriminant model
title_full_unstemmed Discrimination of production environments of specialty coffees by means of stable isotopes and discriminant model
title_sort Discrimination of production environments of specialty coffees by means of stable isotopes and discriminant model
author Barbosa, Juliana Nevez
author_facet Barbosa, Juliana Nevez
Borem, Flávio Meira
Alves, Helena Maria Ramos
Cirillo, Marcelo
Sartori, Maria Márcia Pereira [UNESP]
Ducatti, Carlos [UNESP]
author_role author
author2 Borem, Flávio Meira
Alves, Helena Maria Ramos
Cirillo, Marcelo
Sartori, Maria Márcia Pereira [UNESP]
Ducatti, Carlos [UNESP]
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Federal de Lavras (UFLA)
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Barbosa, Juliana Nevez
Borem, Flávio Meira
Alves, Helena Maria Ramos
Cirillo, Marcelo
Sartori, Maria Márcia Pereira [UNESP]
Ducatti, Carlos [UNESP]
dc.subject.por.fl_str_mv Geographic originality
Specialty coffees
Altitude
Isotopes
topic Geographic originality
Specialty coffees
Altitude
Isotopes
description The south of Minas Gerais, Brazil stands out among various regions through its capacity for production of specialty coffees. Its potential, manifested through being one of the most award-winning Brazilian regions in recent years, has been recognized by the Cup of Excellence (COE). With the evident relationship between product quality and the environment in mind, the need arises for scientific studies to provide a foundation for discrimination of product origin, creating new methods for combating possible fraud. The aim of this study was to evaluate the use of carbon and nitrogen isotopes in discrimination of production environments of specialty coffees from the Serra da Mantiqueira of Minas Gerais by means of the discriminant model. Coffee samples were composed of ripe yellow and red fruits collected manually at altitudes below 1,000 m, from 1,000 to 1,200 m and above 1,200 m. The yellow and red fruits were subjected to dry processing and wet processing, with five replications. A total of 119 samples were used for discrimination of specialty coffee production environments by means of stable isotopes and statistical modeling. The model generated had an accuracy rate of 89% in discrimination of environments and was composed of the isotope variables of δ15N, δ13C, %C, %N, δD, δ18O (meteoric water) and sensory analysis scores. In addition, for the first time, discrimination of environments on a local geographic scale, within a single municipality, was proposed and successfully concluded. This shows that isotope analysis is an effective method in verifying geographic origin for specialty coffees.
publishDate 2014
dc.date.none.fl_str_mv 2014
2016-04-01T18:44:41Z
2016-04-01T18:44:41Z
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://dx.doi.org/10.5539/jas.v6n5p55
Journal of Agricultural Science, v. 6, n. 5, p. 55-64, 2014.
1916-9760
http://hdl.handle.net/11449/137208
10.5539/jas.v6n5p55
1030251743943217
0160407381424066
url http://dx.doi.org/10.5539/jas.v6n5p55
http://hdl.handle.net/11449/137208
identifier_str_mv Journal of Agricultural Science, v. 6, n. 5, p. 55-64, 2014.
1916-9760
10.5539/jas.v6n5p55
1030251743943217
0160407381424066
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Journal of Agricultural Science
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 55-64
dc.source.none.fl_str_mv Currículo Lattes
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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