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

dc.contributorUniversidade Federal de Lavras (UFLA)
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.creatorBarbosa, Juliana Nevez
dc.creatorBorem, Flávio Meira
dc.creatorAlves, Helena Maria Ramos
dc.creatorCirillo, Marcelo
dc.creatorSartori, Maria Márcia Pereira [UNESP]
dc.creatorDucatti, Carlos [UNESP]
dc.date2016-04-01T18:44:41Z
dc.date2016-04-01T18:44:41Z
dc.date2014
dc.date.accessioned2023-09-12T09:15:49Z
dc.date.available2023-09-12T09:15:49Z
dc.identifierhttp://dx.doi.org/10.5539/jas.v6n5p55
dc.identifierJournal of Agricultural Science, v. 6, n. 5, p. 55-64, 2014.
dc.identifier1916-9760
dc.identifierhttp://hdl.handle.net/11449/137208
dc.identifier10.5539/jas.v6n5p55
dc.identifier1030251743943217
dc.identifier0160407381424066
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8786447
dc.descriptionThe 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.
dc.descriptionUniversidade Federal de Lavras (UFLA), Departamento de Biologia, Lavras, MG, Brasil
dc.descriptionUniversidade Federal de Lavras (UFLA), Departamento de Engenharia, Lavras, MG, Brasil
dc.descriptionUniversidade Estadual Paulista Júlio de Mesquita Filho (UNESP), Instituto de Biociências Botucatu (IBB), Departamento de Física e Biofísica, Botucatu, SP, Brasil
dc.descriptionUniversidade Estadual Paulista Júlio de Mesquita Filho (UNESP), Instituto de Biociências Botucatu (IBB), Departamento de Física e Biofísica, Botucatu, SP, Brasil
dc.format55-64
dc.languageeng
dc.relationJournal of Agricultural Science
dc.rightsAcesso aberto
dc.sourceCurrículo Lattes
dc.subjectGeographic originality
dc.subjectSpecialty coffees
dc.subjectAltitude
dc.subjectIsotopes
dc.titleDiscrimination of production environments of specialty coffees by means of stable isotopes and discriminant model
dc.typeArtigo


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