Classification of wines according to several factors by ICP-MS multi-element analysis

Wines from different grape varieties, geographical zones, soil types, foliar N application, SO2 addition and oak ageing were analyzed by inductively coupled plasma mass spectrometry (ICP-MS). For this purpose, ICP-MS methodology was optimized. The elements which allowed differentiate wines from studied grape varieties were Sr, Ca, Mg and Mn. Geographical zones were classified according to Sr, Ba, Ni, and Cu. Cs and Pb were the main elements to discriminate the wines from the 3 soil types. Wines from several N foliar doses application were classified by Pb, Ni, Mn and Zn. The content of Cs, Mg, Cu and Pb in wines characterized the SO2 addition. Finally, wines storage in barrels were differentiate by Na and Cs concentration. The discriminant functions classify 100% of the wines, with the exception of grape variety (97.0%) and oak ageing (95.8%). Consequently, ICP-MS can be applied to classified wines according to viticultural and oenological factors.

Bibliographic Details

Main Authors:	Pérez-Álvarez, Eva Pilar, García, Raquel, Barrulas, P., Dias, C., Cabrita, M. J., Garde-Cerdán, Teresa
Other Authors:	European Commission
Format:	artículo biblioteca
Language:	English
Published:	Elsevier 2019-01
Subjects:	ICP-MS, Multi-element analysis, Method optimization, Wine classification,
Online Access:	http://hdl.handle.net/10261/192705 http://dx.doi.org/10.13039/501100001871 http://dx.doi.org/10.13039/501100000780 http://dx.doi.org/10.13039/501100003329
Tags:	Add Tag No Tags, Be the first to tag this record!