Articolo su rivista pubblicato in Beverages, volume 11, pp. 161.

Autori: Anna Lisa Gilioli, Alessio Sacco, Andrea Mario Giovannozzi, Simone Giacosa, Antonella Bosso, Loretta Panero, Lorenzo Ferrero, Silvia Raffaela Barera, Stefano Messina, Marco Lagori, Silvia Motta, Massimo Guaita, Ettore Vittone and Andrea Mario Rossi.

Abstract

The quantity of anthocyanins plays a crucial role in wine quality, since these phenolic compounds significantly influence the color, mouthfeel and organoleptic properties of red wines. It is therefore important to define accurate and precise methodologies to monitor the concentration of total anthocyanins in wine. Currently, this analysis is carried out using Ultraviolet-Visible (UV–visible) spectrophotometry. This work aims to determine an alternative methodology that is equally fast, accurate and allows in situ measurements while opening the measurement of the concentrations of other molecules of interest. The method presented consists of Raman analysis of Barbera wine samples using a portable Raman spectroscopy system. Subsequently, the collected spectra were processed using an algorithm that applies partial least squares (PLS) regression, making it possible to determine the concentration of total anthocyanins for each sample. This approach is characterized by an accuracy and precision comparable to the methodology currently in use, i.e., UV–visible spectrophotometry. It is indeed characterized by an RMSE (root mean square error) and R² (the coefficient of determination) on the validation set of 0.010 g/L and 0.88 and on the test data of 0.007 g/L and 0.93, respectively.

Parole chiave wine, anthocyanin, Raman spectroscopy, chemometrics, PLS regression

codice BibTeX: clicca per mostrare

@article{
	2318_2113190,
	url = {https://hdl.handle.net/2318/2113190},
	author = {Gilioli, Anna Lisa and Sacco, Alessio and Giovannozzi, Andrea Mario and Giacosa, Simone and Bosso, Antonella and Panero, Loretta and Ferrero, Lorenzo and Barera, Silvia Raffaela and Messina, Stefano and Lagori, Marco and Motta, Silvia and Guaita, Massimo and Vittone, Ettore and Rossi, Andrea Mario},
	title = {Determination of total anthocyanin concentration in Barbera red wines by Raman spectroscopy and multivariate statistical methods},
	year = {2025},
	journal = {Beverages},
	volume = {11},
	abstract = {The quantity of anthocyanins plays a crucial role in wine quality, since these phenolic compounds significantly influence the color, mouthfeel and organoleptic properties of red wines. It is therefore important to define accurate and precise methodologies to monitor the concentration of total anthocyanins in wine. Currently, this analysis is carried out using Ultraviolet-Visible (UV–visible) spectrophotometry. This work aims to determine an alternative methodology that is equally fast, accurate and allows in situ measurements while opening the measurement of the concentrations of other molecules of interest. The method presented consists of Raman analysis of Barbera wine samples using a portable Raman spectroscopy system. Subsequently, the collected spectra were processed using an algorithm that applies partial least squares (PLS) regression, making it possible to determine the concentration of total anthocyanins for each sample. This approach is characterized by an accuracy and precision comparable to the methodology currently in use, i.e., UV–visible spectrophotometry. It is indeed characterized by an RMSE (root mean square error) and R² (the coefficient of determination) on the validation set of 0.010 g/L and 0.88 and on the test data of 0.007 g/L and 0.93, respectively.},
	keywords = {wine, anthocyanin, Raman spectroscopy, chemometrics, PLS regression},
	doi = {10.3390/beverages11060161},
	pages = {161},
	number = {6}
}

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