Interregional traceability of Tunisian olive oils to the provenance soil by multielemental fingerprinting and chemometrics
| Autor: | Kenji Tamura, Aomi Suda, Ahmed Wali, Daisuke Araoka, Koji Baba, Mitsutoshi Nakajima, Mohamed Ksibi, Hiroko Isoda, Fadwa Damak, Maki Asano |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Provenance
Traceability Soil science 01 natural sciences Mass Spectrometry Analytical Chemistry Discriminatory power Chemometrics Soil 0404 agricultural biotechnology Olea Soil composition Microwaves Olive Oil Principal Component Analysis 010401 analytical chemistry Discriminant Analysis 04 agricultural and veterinary sciences General Medicine Linear discriminant analysis 040401 food science 0104 chemical sciences Metals Fruit Principal component analysis Environmental science Food Science |
| Zdroj: | SC30201905100016 NARO成果DBd C30201902120003_6700.pdf |
| ISSN: | 0308-8146 |
| DOI: | 10.1016/j.foodchem.2019.01.082 |
| Popis: | The aim of this study was to prove the usefulness of multielements as provenance markers of olive oils by evaluating their link with soil composition and their discriminatory power. Eleven elements in twenty-one olive oils and their paired soils from four Tunisian regions were characterized. Chemometrics have been implemented for ICP-MS data processing. Principal component analysis identified the predominant geochemical source of the elements in the oils based on their associations according to Goldschmidt's rule. Although a clear correlation was not proven, correspondence was identified between the discriminating elements for both the soils and olive oils, which included Fe, Rb, Mg, and Pb. Linear discriminant analysis achieved classification and prediction rates of 92.1% and 87.3%, respectively. Our study substantiates the validity of multielements as markers of the olive oils' provenance, and that an elemental fingerprinting approach can be successfully applied in the construction of a database of Tunisian olive oils. |
| Databáze: | OpenAIRE |
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