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

Eva P. Pérez-Álvarez, Raquel Garcia, Pedro Barrulas, Cristina Barrocas Dias, Maria João Cabrita, Teresa Garde-Cerdán

Research output: Contribution to journalConference article

22 Citations (Scopus)

Abstract

Wines from different grape varieties, geographical zones, soil types, foliar N application, SO 2 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 SO 2 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.

Original languageEnglish
Pages (from-to)273-280
Number of pages8
JournalFood Chemistry
Volume270
DOIs
Publication statusPublished - 1 Jan 2019
Event9th Symposium on In Vino Analytica Scientia - Trentino, Italy
Duration: 14 Jul 201517 Jul 2015

Keywords

  • ICP-MS
  • Method optimization
  • Multi-element analysis
  • Wine classification

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    Pérez-Álvarez, E. P., Garcia, R., Barrulas, P., Dias, C. B., Cabrita, M. J., & Garde-Cerdán, T. (2019). Classification of wines according to several factors by ICP-MS multi-element analysis. Food Chemistry, 270, 273-280. https://doi.org/10.1016/j.foodchem.2018.07.087