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 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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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 |
_version_ |
1815439080843902976 |