This study investigated the elemental composition along the soil–plant continuum of Sicilian citrus fruits grown in volcanic (Stromboli and Etna) and non-volcanic (Marsala) areas. Following microwave-assisted acid digestion, macro- and trace elements were quantified via ICP-MS in soils, whole fruits, peel, pulp, and juice. Citrus fruits from volcanic areas generally showed higher concentrations of K, P, Fe, and Al than those from Marsala. Potentially toxic elements in edible fractions were generally low, with Pb and Cd below the applicable regulatory limits. Elemental partitioning showed higher measured concentrations of several potentially toxic elements in the peel, with lower concentrations in pulp and juice. Principal Component Analysis (PCA) revealed separation of samples according to geographical origin, while Linear Discriminant Analysis (LDA) achieved complete classification within the investigated dataset, with K, Al, Mg, and Ni. These findings indicate that elemental fingerprinting may support geographical characterization, together with nutritional and toxicological assessment.

Multi-Element Analysis of Sicilian Citrus Fruits from Volcanic and Non-Volcanic Areas for Geographical Authentication and Food Safety Assessment

Giuseppa Di Bella
Primo
;
Vincenzo Nava;Angela Giorgia Potortì
;
Roberto Sturniolo;Vincenzo Lo Turco
Ultimo
2026-01-01

Abstract

This study investigated the elemental composition along the soil–plant continuum of Sicilian citrus fruits grown in volcanic (Stromboli and Etna) and non-volcanic (Marsala) areas. Following microwave-assisted acid digestion, macro- and trace elements were quantified via ICP-MS in soils, whole fruits, peel, pulp, and juice. Citrus fruits from volcanic areas generally showed higher concentrations of K, P, Fe, and Al than those from Marsala. Potentially toxic elements in edible fractions were generally low, with Pb and Cd below the applicable regulatory limits. Elemental partitioning showed higher measured concentrations of several potentially toxic elements in the peel, with lower concentrations in pulp and juice. Principal Component Analysis (PCA) revealed separation of samples according to geographical origin, while Linear Discriminant Analysis (LDA) achieved complete classification within the investigated dataset, with K, Al, Mg, and Ni. These findings indicate that elemental fingerprinting may support geographical characterization, together with nutritional and toxicological assessment.
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11570/3361770
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact