In:
Current Analytical Chemistry, Bentham Science Publishers Ltd., Vol. 17, No. 7 ( 2021-07-07), p. 1037-1043
Kurzfassung:
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.
Materialart:
Online-Ressource
ISSN:
1573-4110
DOI:
10.2174/1573411017666201229142412
Sprache:
Englisch
Verlag:
Bentham Science Publishers Ltd.
Publikationsdatum:
2021
