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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Classification and compositional characterization of different varieties of cocoa beans by near infrared spectroscopy and multivariate statistical analyses

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Autor(es):
Barbin, Douglas Fernandes [1] ; Maciel, Leonardo Fonseca [2, 3] ; Vidigal Bazoni, Carlos Henrique [2] ; Ribeiro, Margareth da Silva [3] ; Sales Carvalho, Rosemary Duarte [3] ; Bispo, Eliete da Silva [3] ; Spinola Miranda, Maria da Pureza [3] ; Hirooka, Elisa Yoko [2]
Número total de Autores: 8
Afiliação do(s) autor(es):
[1] Univ Estadual Campinas, Dept Food Engn, Rua Monteiro Lobato 80, Cidade Univ, BR-13083860 Campinas, SP - Brazil
[2] Univ Estadual Londrina, Dept Food Sci & Technol, Rodovia Celso Garcia Cid, PR 445 Km 380, BR-86055900 Londrina, PR - Brazil
[3] Univ Fed Bahia, Coll Pharm, Salvador, BA - Brazil
Número total de Afiliações: 3
Tipo de documento: Artigo Científico
Fonte: JOURNAL OF FOOD SCIENCE AND TECHNOLOGY-MYSORE; v. 55, n. 7, p. 2457-2466, JUL 2018.
Citações Web of Science: 1
Resumo

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. (AU)

Processo FAPESP: 15/24351-2 - Análise de imagens e espectroscopia de infravermelho próximo (NIR) na avaliação de qualidade e autenticação de alimentos
Beneficiário:Douglas Fernandes Barbin
Modalidade de apoio: Auxílio à Pesquisa - Jovens Pesquisadores