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

Detalhes bibliográficos
Autor(a) principal: Barbosa, Juliana
Data de Publicação: 2014
Outros Autores: Borém, Flavio, Alves, Helena, Cirillo, Marcelo, Sartori, Maria, Ducatti, Carlos
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/37137
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 ?15N, ?13C, %C, %N, ?D, ?18O (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 ?15N, ?13C, %C, %N, ?D, ?18O (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.Canadian Center of Science and Education2019-10-09T12:37:17Z2019-10-09T12:37:17Z2014info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfBARBOSA, J. et al. Discrimination of production environments of specialty coffees by means of stable isotopes and discriminant model. Journal of Agricultural Science, [S.l.], v. 6, n. 5, 2014.http://repositorio.ufla.br/jspui/handle/1/37137Journal of Agricultural Sciencereponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessBarbosa, JulianaBorém, FlavioAlves, HelenaCirillo, MarceloSartori, MariaDucatti, Carloseng2019-10-09T12:37:44Zoai:localhost:1/37137Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2019-10-09T12:37:44Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)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
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
author_facet Barbosa, Juliana
Borém, Flavio
Alves, Helena
Cirillo, Marcelo
Sartori, Maria
Ducatti, Carlos
author_role author
author2 Borém, Flavio
Alves, Helena
Cirillo, Marcelo
Sartori, Maria
Ducatti, Carlos
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Barbosa, Juliana
Borém, Flavio
Alves, Helena
Cirillo, Marcelo
Sartori, Maria
Ducatti, Carlos
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 ?15N, ?13C, %C, %N, ?D, ?18O (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
2019-10-09T12:37:17Z
2019-10-09T12:37:17Z
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 BARBOSA, J. et al. Discrimination of production environments of specialty coffees by means of stable isotopes and discriminant model. Journal of Agricultural Science, [S.l.], v. 6, n. 5, 2014.
http://repositorio.ufla.br/jspui/handle/1/37137
identifier_str_mv BARBOSA, J. et al. Discrimination of production environments of specialty coffees by means of stable isotopes and discriminant model. Journal of Agricultural Science, [S.l.], v. 6, n. 5, 2014.
url http://repositorio.ufla.br/jspui/handle/1/37137
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Canadian Center of Science and Education
publisher.none.fl_str_mv Canadian Center of Science and Education
dc.source.none.fl_str_mv Journal of Agricultural Science
reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv nivaldo@ufla.br || repositorio.biblioteca@ufla.br
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