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Foods 2016, 5(1), 20; doi:10.3390/foods5010020

Statistical Analysis of Mineral Concentration for the Geographic Identification of Garlic Samples from Sicily (Italy), Tunisia and Spain

1
Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, V.le F. Stagno d’Alcontres 31, Messina 98166, Italy
2
IPCF- CNR of Messina, Viale F. Stagno d’Alcontres 37, Messina 98158, Italy
3
MIFT Department Physics Section, University of Messina, Viale F. S. d’Alcontres 31, Messina 98166, Italy
4
Department of Chemical Sciences, Biological, Pharmaceutical and Environmental, University of Messina, Via SS. Annunziata, Messina 98168, Italy
5
Science4life srl, Academic Spin-off, Università di Messina, Viale F. Stagno d’Alcontres 31, Messina 98166, Italy
*
Authors to whom correspondence should be addressed.
Academic Editor: Emilie Combet
Received: 18 January 2016 / Revised: 12 February 2016 / Accepted: 4 March 2016 / Published: 15 March 2016
View Full-Text   |   Download PDF [965 KB, uploaded 15 March 2016]   |  

Abstract

We performed a statistical analysis of the concentration of mineral elements, by means of inductively coupled plasma mass spectrometry (ICP-MS), in different varieties of garlic from Spain, Tunisia, and Italy. Nubia Red Garlic (Sicily) is one of the most known Italian varieties that belongs to traditional Italian food products (P.A.T.) of the Ministry of Agriculture, Food, and Forestry. The obtained results suggest that the concentrations of the considered elements may serve as geographical indicators for the discrimination of the origin of the different samples. In particular, we found a relatively high content of Selenium in the garlic variety known as Nubia red garlic, and, indeed, it could be used as an anticarcinogenic agent. View Full-Text
Keywords: Nubia Red Garlic; ICP-MS; PCA; multi-element profile; geographic origin; anticarcinogenesis Nubia Red Garlic; ICP-MS; PCA; multi-element profile; geographic origin; anticarcinogenesis
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Vadalà, R.; Mottese, A.F.; Bua, G.D.; Salvo, A.; Mallamace, D.; Corsaro, C.; Vasi, S.; Giofrè, S.V.; Alfa, M.; Cicero, N.; Dugo, G. Statistical Analysis of Mineral Concentration for the Geographic Identification of Garlic Samples from Sicily (Italy), Tunisia and Spain. Foods 2016, 5, 20.

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