Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/349700
Type: Artigo
Title: Classification and compositional characterization of different varieties of cocoa beans by near infrared spectroscopy and multivariate statistical analyses
Author: Barbin, Douglas Fernandes
Maciel, Leonardo Fonseca
Bazoni, Carlos Henrique Vidigal
Ribeiro, Margareth da Silva
Carvalho, Rosemary Duarte Sales
Bispo, Eliete da Silva
Miranda, Maria da Pureza Spínola
Hirooka, Elisa Yoko
Abstract: Effective and fast methods are important for distinguishing cocoa varieties in the field and in the processing industry. This work proposes the application of NIR spectroscopy as a potential analytical method to classify different varieties and predict the chemical composition of cocoa. Chemical composition and colour features were determined by traditional methods and then related with the spectral information by partial least-squares regression. Several mathematical pre-processing methods including first and second derivatives, standard normal variate and multiplicative scatter correction were applied to study the influence of spectral variations. The results of chemical composition analysis and colourimetric measurements show significant differences between varieties. NIR spectra of samples exhibited characteristic profiles for each variety and principal component analysis showed different varieties in according to spectral features
Subject: Espectroscopia de infravermelho próximo
Country: India
Editor: Springer
Rights: Fechado
Identifier DOI: 10.1007/s13197-018-3163-5
Address: https://link.springer.com/article/10.1007%2Fs13197-018-3163-5
Date Issue: 2018
Appears in Collections:FEA - Artigos e Outros Documentos

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