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Provenance discrimination of Sorrento lemon with Protected Geographical indication (PGI) by multi-elemental fingerprinting
•Elemental profiles discriminate lemon juices and soils on a small territorial scale.•Elements in lemon juices and provenance soils were closely correlated.•The discriminant elemental profile of lemon juice is affected by annual variation.•Lemon juice origins were identified by elemental profiling w...
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Published in: | Food chemistry 2021-11, Vol.362, p.130168-130168, Article 130168 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | •Elemental profiles discriminate lemon juices and soils on a small territorial scale.•Elements in lemon juices and provenance soils were closely correlated.•The discriminant elemental profile of lemon juice is affected by annual variation.•Lemon juice origins were identified by elemental profiling with 98.5% accuracy.•Not essential elements were more stable indicators of geographical provenance.
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. |
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ISSN: | 0308-8146 1873-7072 |
DOI: | 10.1016/j.foodchem.2021.130168 |