Optimization of sample preparation method for multi-element analysis of wines by ICP-MS: Application to classify wines according to several factors.

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 stud...

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Bibliographic Details
Main Author: Pérez-Álvarez, Eva (author)
Other Authors: Garcia, Raquel (author), Barrulas, Pedro (author), Dias, Cristina (author), Cabrita, Maria João (author), Garde-Cerdan, Teresa (author)
Format: article
Language:eng
Published: 2019
Subjects:
ICP-MS
Multi-element analysis
Methos optimization
wine classification
Online Access:http://hdl.handle.net/10174/23819
Country:Portugal
Oai:oai:dspace.uevora.pt:10174/23819
Description
Summary: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.

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