Classification of intact fresh plums according to sweetness using time-domain nuclear magnetic resonance and chemometrics

dc.contributorUniversidade Estadual Paulista (Unesp)
dc.creatorPereira, Fabiola Manhas Verbi [UNESP]
dc.creatorCarvalho, André de Souza
dc.creatorCabeça, Luís Fernando
dc.creatorColnago, Luiz Alberto
dc.date2015-05-15T13:30:22Z
dc.date2015-05-15T13:30:22Z
dc.date2013
dc.date.accessioned2023-09-12T05:02:49Z
dc.date.available2023-09-12T05:02:49Z
dc.identifierMicrochemical Journal, v. 108, p. 14-17, 2013.
dc.identifier0026-265X
dc.identifierhttp://hdl.handle.net/11449/123535
dc.identifier10.1016/j.microc.2012.12.003
dc.identifier5704445473654024
dc.identifier0000-0002-8117-2108
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8772971
dc.descriptionTime domain nuclear magnetic resonance (TD-NMR) and chemometric models were used to classify intact plums according to the total soluble solid content in percentage (% of SSC). The models were constructed using use Carr–Purcell–Meiboom–Gill (CPMG) decay (as independent variables) of intact plums. The reference values in % of SSC (as dependent variable) were obtained from the juice extracted from the same plums. The data sample was divided into two categories: class 1, up 9 to 12% of SSC and class 2, up 13 to 22% of SSC. The soft independent modeling of class analogy (SIMCA) of 171 plums correctly classified the class 1 plums approximately 89% of the total and the class 2 plums (sweeter) above 93% of the samples for both training and the validation data set, at 95% of confidence level. Therefore, the analysis of CPMG decay using SIMCA can be used to classify intact plums according to sweetness. This method is fast (seconds) and can easily be automated, allowing a better classification of each plum than the average SSC values of a lot.
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionUniversidade Estadual Paulista Júlio de Mesquita Filho, Departamento de Química Analítica, Instituto de Química de Araraquara, Araraquara, Rua Professor Francisco Degni, 55, Jardim Quitandinha, CEP 14800060, SP, Brasil
dc.descriptionUniversidade Estadual Paulista Júlio de Mesquita Filho, Departamento de Química Analítica, Instituto de Química de Araraquara, Araraquara, Rua Professor Francisco Degni, 55, Jardim Quitandinha, CEP 14800060, SP, Brasil
dc.format14-17
dc.languageeng
dc.relationMicrochemical Journal
dc.relation2.746
dc.rightsAcesso restrito
dc.sourceCurrículo Lattes
dc.subjectTD-NMR
dc.subjectfruits
dc.subjectsweetness
dc.subjectquality control
dc.subjectplum
dc.titleClassification of intact fresh plums according to sweetness using time-domain nuclear magnetic resonance and chemometrics
dc.typeArtigo


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