Discrimination of production environments of specialty coffees by means of stable isotopes and discriminant model
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , , , , |
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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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:29462024-08-05T23:28:13.111938Repositório 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 |
|
_version_ |
1808129523613433856 |