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Current Nutrition & Food Science

Editor-in-Chief

ISSN (Print): 1573-4013
ISSN (Online): 2212-3881

Research Article

Fingerprint of PGI Mantova Cucumis melo by ICP-MS and Chemometric Analysis

Author(s): Antonio F. Mottese, Maria R. Fede, Francesco Caridi*, Giuseppe Sabatino, Giuseppe Marcianò, Pietro Ravenda, Annamaria D. Gaetano and Giacomo Dugo

Volume 17, Issue 1, 2021

Published on: 04 May, 2020

Page: [94 - 104] Pages: 11

DOI: 10.2174/1573401316999200504094207

Price: $65

Abstract

Background and Objectives: In this work, yellow and green varieties of Cucumis melo fruits belonging to different cultivars were studied. In detail, three Sicilian cultivars of winter melons tutelated by TAP (Traditional agro-alimentary products) labels were considered, whereas asun protected the Calabrian winter melon was studied too. With the aim to compare the selective uptakes of inorganic elements among winter and summer fruits, the “PGI Melone Mantovano” was investigated. The purpose of this work was to apply the obtained results i) to guarantee the quality and healthiness of fruits, ii) to producers defend, iii) to help the customers in safe food purchase.

Methods: All samples were analyzed by ICP-MS and the obtained results, subsequently, were subjected to Cluster analysis (CA), Principal component analysis (PCA) and Canonical discriminant analysis (CDA).

Results: CA results were generally in agreement with samples origin, whereas the PCA elaboration has confirmed the presence of a strong relation between fruit origins and trace element contents. In particular, two principal components justified the 57.32% of the total variance (PC1= 40.95%, PC2= 16.37%). Finally, the CDA approach has provided several functions with high discrimination power, confirmed by the correct classification of all samples (100%).

Conclusion: CA, PCA and CDA could represent an integrated to label to discriminate the origin of agri-food products and, thus, protect and guarantee their healthiness.

Keywords: CA, CDA, food analysis, ICP-MS, PCA, traceability, Traditional Agro-alimentary Production (TAP).

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