Abstract
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.
Keywords: Multivariate methods, PCA, PLS, red wine, trans-resveratrol, UV-Vis.
Current Analytical Chemistry
Title:New Method for Determination of Trans-resveratrol for Quality Evaluation of Red Wines by Multivariate Calibration Associated with UVVIS Spectroscopy
Volume: 17 Issue: 7
Author(s): Milleno D. Mota, Marilena Meira, Juceni P. David*, Erika M. de Oliveira Ribeiro, Hugo N. Brandão, Ademir E. do Vale and Jorge M. David*
Affiliation:
- Departamento do Medicamento, Faculdade de Farmacia, Universidade Federal da Bahia, Salvador-BA,Brazil
- Departamento Ciencias da Vida, Universidade do Estado da Bahia, Salvador-BA,Brazil
Keywords: Multivariate methods, PCA, PLS, red wine, trans-resveratrol, UV-Vis.
Abstract:
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.
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Cite this article as:
Mota D. Milleno, Meira Marilena , David P. Juceni *, de Oliveira Ribeiro M. Erika , Brandão N. Hugo , do Vale E. Ademir and David M. Jorge *, New Method for Determination of Trans-resveratrol for Quality Evaluation of Red Wines by Multivariate Calibration Associated with UVVIS Spectroscopy, Current Analytical Chemistry 2021; 17 (7) . https://dx.doi.org/10.2174/1573411017666201229142412
DOI https://dx.doi.org/10.2174/1573411017666201229142412 |
Print ISSN 1573-4110 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-6727 |
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