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|Title: ||Optimization of sample preparation method for multi-element analysis of wines by ICP-MS: Application to classify wines according to several factors.|
|Authors: ||Pérez-Álvarez, Eva|
Cabrita, Maria João
|Issue Date: ||2019|
|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.|
|Appears in Collections:||ICAAM - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica|
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