Literature DB >> 34090045

Provenance discrimination of Sorrento lemon with Protected Geographical indication (PGI) by multi-elemental fingerprinting.

Luigi Ruggiero1, Maria Chiara Fontanella2, Carmine Amalfitano3, Gian Maria Beone2, Paola Adamo4.   

Abstract

Multielement analysis and chemometric methods were proposed to discriminate the Sorrento lemon (PGI) juices according to geographical origin. In 2018 and 2019, 169 fruits from three farms in PGI area and two in not-PGI area were collected and analysed for essential and not-essential elements by ICP-MS. The PCA of multielement fingerprinting grouped lemon juices from PGI farms revealing a strong differentiation at small geographical scale. The S-LDA discriminated lemon juices for Mo, Ba, Rb, Mg, Co, Ca, Fe, Sr on the two production years, giving 97.7% correct classification, 98.5% accuracy and 93.8% external validation. The good correlation lemon juice vs cultivation soil and the soil discrimination by not-essential elements suggested the use of these elements as reliable indicators of lemon juice provenances. Despite lowering the number of variables, constituted by not-essential elements Ba, Rb, Ti, Co, the use of S-QDA discriminated the lemons juices with 87.5% accuracy and 83.9% validation.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Lemon juice; Limone di Sorrento PGI; Multielement traceability; Multivariate analysis; Not essential elements; Soil

Year:  2021        PMID: 34090045     DOI: 10.1016/j.foodchem.2021.130168

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  1 in total

1.  Multi-Elemental Composition Data Handled by Chemometrics for the Discrimination of High-Value Italian Pecorino Cheeses.

Authors:  Francesca Di Donato; Martina Foschi; Nadia Vlad; Alessandra Biancolillo; Leucio Rossi; Angelo Antonio D'Archivio
Journal:  Molecules       Date:  2021-11-15       Impact factor: 4.411

  1 in total

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