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.

This work has been supported by FEDER and National founds, through the Programa Operacional Regional do Alentejo (InAlentejo) Operation ALENT-07-0262-FEDER-001871/Laboratório de Biotecnologia Aplicada e Tecnologias Agro-Ambientais and FEDER Funds through the Operational Programme for Competitiveness Factors–COMPETE and National Funds through FCT–Foundation for Science and Technology under the Project UID/AGR/00115/2013. T. Garde-Cerdán thanks the Spanish MINECO for funding her Ramón y Cajal contract. E.P. Pérez-Álvarez thanks the Gobierno de La Rioja for her contract by the project R-03-16. Raquel Garcia thanks the Fundação para a Ciência e Tecnologia (FCT) for a post-doctoral research fellowship (SFRH/BPD/109912/2015)

Peer reviewed