Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/25446

Title: Classification of wines according to several factors by ICP-MS multi-element analysis
Authors: Pérez-Álvarez, Eva
Garcia, Raquel
Barrulas, Pedro
Dias, Cristina
Cabrita, Maria João
Garde-Cerdan, Teresa
Keywords: ICP-MS
Multi-element analysis
Methos optimization
wine classification
Issue Date: 2019
Publisher: elsevier
Abstract: 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.
URI: http://hdl.handle.net/10174/25446
Type: article
Appears in Collections:ICAAM - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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