1. Characterization of white wines from north-eastern Italy with surface-enhanced Raman spectroscopy
- Author
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Elisa Gurian, Antonella Calabretti, Francesco Zanuttin, Ioana Ignat, Giovanni Bigot, Stefano Fornasaro, Alois Bonifacio, Zanuttin, Francesco, Gurian, Elisa, Ignat, Ioana, Fornasaro, Stefano, Calabretti, Antonella, Bigot, Giovanni, and Bonifacio, Alois
- Subjects
Wine ,Vintage ,Chemistry ,010401 analytical chemistry ,02 engineering and technology ,Surface-enhanced Raman spectroscopy ,021001 nanoscience & nanotechnology ,01 natural sciences ,Wine classificationSERSDD-SIMCASilver colloidsFood traceability ,0104 chemical sciences ,Analytical Chemistry ,White Wine ,Food science ,Wine classification ,0210 nano-technology ,Spectroscopy - Abstract
In the present study, label-free SERS spectroscopy is applied as a useful analytical technique for white wine characterization. 180 samples of three white wines varieties from northeastern Italy, Sauvignon Blanc, Ribolla Gialla and Friulano, collected from three different Italian producers from 2016 vintage, have been analyzed using Ag citrate-reduced colloids and a portable Raman instrument with a 785 nm laser. A PCA of SERS spectra showed that discrimination between wines and wineries is possible. Main spectral differences are due to adenine, carboxylic acids and glutathione, with their ratio changing among different wine types and producers. A robust version of the Soft Independent Modelling of Class Analogy (SIMCA) method was used to model the class space of each wine and to perform the classification among the different categories, yielding overall efficiencies between 87 and 93%. These results are extremely encouraging and open the way to the application of this SERS protocol as a wine identification assay.
- Published
- 2019
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