Abstract
Knowledge about the metal content of wine is very important, for many reasons. Depending on the element, its quantity varies in wine from ng/L to mg/L. Despite the fact that metals are not directly connected to the taste and aroma of the wine, their content should be determined and controlled, because excess is undesirable, and in some cases prohibited, due to potential toxicity. Several analytical procedures for metal determination are applied. However, due to sensitivity, low limit of detection and speed of analysis, inductively coupled plasma-mass spectrometry (ICP-MS) is one of the most frequently used techniques. The aim of this study was to reveal specific relationships between the wine samples or between the chemical variables in order to classify the wines according to their metal content by application of chemometric analysis. For metals content determination, two techniques, ICP-MS and inductively coupled plasma-optical emission spectrometry (ICP-OES), were applied. Data obtained showed that none of the wine samples surpassed the toxic levels reported for metals in the literature, thus, these wines appeared to be safe as regards the risk associated with the potentially toxic metals intake. However, specific correlations between metals and specific aspects of the wines themselves have been found.
Citations
-
4 8
CrossRef
-
0
Web of Science
-
5 6
Scopus
Authors (5)
Cite as
Full text
- Publication version
- Accepted or Published Version
- License
- open in new tab
Keywords
Details
- Category:
- Articles
- Type:
- artykuł w czasopiśmie wyróżnionym w JCR
- Published in:
-
MOLECULES
no. 23,
pages 1 - 11,
ISSN: 1420-3049 - Language:
- English
- Publication year:
- 2018
- Bibliographic description:
- Płotka-Wasylka J., Frankowski M., Simeonov V., Polkowska Ż., Namieśnik J.: Determination of Metals Content in Wine Samples by Inductively Coupled Plasma-Mass Spectrometry// MOLECULES. -Vol. 23, iss. 4041 (2018), s.1-11
- DOI:
- Digital Object Identifier (open in new tab) 10.3390/molecules23112886
- Sources of funding:
-
- Mini-grant, Decision no. 4914/E-359/M/2017
- Verified by:
- Gdańsk University of Technology
seen 195 times
Recommended for you
Multivariate Statistical Analysis for Mutual Dependence Assessment of Selected Polyphenols, Organic Acids and Metals in Cool-Climate Wines
- M. Fabjanowicz,
- V. Simeonov,
- M. Frankowski
- + 2 authors