Milleno D. Mota, Marilena Meira, Juceni P. David*, Erika M. de Oliveira Ribeiro, Hugo N. Brandão, Ademir E. do Vale and Jorge M. David* Pages 1037 - 1043 ( 7 )
Background: This work describes a fast, simple, sensitive, and low-cost method for the identification of resveratrol in different brands and varieties of red wines.Methods: It was developed based on a comparison of the UV-VIS spectra of the samples and samples enriched with different concentrations of the trans-resveratrol standard. The spectra were analyzed by chemometric principal component analysis (PCA) and multivariate calibration. Results: The PCA data indicated that only 4 main components made possible group samples based on the grape variety characteristics and/or production region. Conclusion: From the construction of partial least squares (PLS) and multiple linear regression (RLM) models, it was possible to predict the sample trans-resveratrol content with that sample showing similarities between the groups observed in the PCA and the samples used in the model constructions. The predicted trans-resveratrol present in these samples ranged from 0.29 to 23.3 mg L-1. This multivariate method suggested a good predictive capacity of determination of resveratrol concentrations in commercial red wines.
Multivariate methods, PCA, PLS, red wine, trans-resveratrol, UV-Vis.
Departamento do Medicamento, Faculdade de Farmácia, Universidade Federal da Bahia, Salvador-BA, Ciência e Tecnologia da Bahia, Instituto Federal de Educação, Simões Filho-BA, Departamento do Medicamento, Faculdade de Farmácia, Universidade Federal da Bahia, Salvador-BA, Departamento do Medicamento, Faculdade de Farmácia, Universidade Federal da Bahia, Salvador-BA, Departamento de Saúde, Universidade Estadual de Feira de Santana, Feira de Santana-BA, Departamento do Medicamento, Faculdade de Farmácia, Universidade Federal da Bahia, Salvador-BA, Departamento Ciências da Vida, Universidade do Estado da Bahia, Salvador-BA