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

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dc.contributor.authorBarbosa, Juliana Nevez
dc.contributor.authorBorem, Flávio Meira
dc.contributor.authorAlves, Helena Maria Ramos
dc.contributor.authorCirillo, Marcelo
dc.contributor.authorSartori, Maria Márcia Pereira [UNESP]
dc.contributor.authorDucatti, Carlos [UNESP]
dc.contributor.institutionUniversidade Federal de Lavras (UFLA)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2016-04-01T18:44:41Z
dc.date.available2016-04-01T18:44:41Z
dc.date.issued2014
dc.description.abstractThe 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.en
dc.description.affiliationUniversidade Federal de Lavras (UFLA), Departamento de Biologia, Lavras, MG, Brasil
dc.description.affiliationUniversidade Federal de Lavras (UFLA), Departamento de Engenharia, Lavras, MG, Brasil
dc.description.affiliationUniversidade Estadual Paulista Júlio de Mesquita Filho (UNESP), Instituto de Biociências Botucatu (IBB), Departamento de Física e Biofísica, Botucatu, SP, Brasil
dc.description.affiliationUnespUniversidade Estadual Paulista Júlio de Mesquita Filho (UNESP), Instituto de Biociências Botucatu (IBB), Departamento de Física e Biofísica, Botucatu, SP, Brasil
dc.format.extent55-64
dc.identifierhttp://dx.doi.org/10.5539/jas.v6n5p55
dc.identifier.citationJournal of Agricultural Science, v. 6, n. 5, p. 55-64, 2014.
dc.identifier.doi10.5539/jas.v6n5p55
dc.identifier.issn1916-9760
dc.identifier.lattes1030251743943217
dc.identifier.lattes0160407381424066
dc.identifier.urihttp://hdl.handle.net/11449/137208
dc.language.isoeng
dc.relation.ispartofJournal of Agricultural Science
dc.rights.accessRightsAcesso aberto
dc.sourceCurrículo Lattes
dc.subjectGeographic originalityen
dc.subjectSpecialty coffeesen
dc.subjectAltitudeen
dc.subjectIsotopesen
dc.titleDiscrimination of production environments of specialty coffees by means of stable isotopes and discriminant modelen
dc.typeArtigo
unesp.author.lattes1030251743943217
unesp.author.lattes0160407381424066
unesp.campusUniversidade Estadual Paulista (Unesp), Instituto de Biociências, Botucatupt
unesp.departmentFísica e Biofísicapt

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