MaghrebDataLibMedV2, Main, Exploration, bibRecord, 000525

Interregional traceability of Tunisian olive oils to the provenance soil by multielemental fingerprinting and chemometrics.

Identifieur interne : 000525 ( Main/Exploration ); précédent : 000524; suivant : 000526

Interregional traceability of Tunisian olive oils to the provenance soil by multielemental fingerprinting and chemometrics.

Auteurs : Fadwa Damak [Japon] ; Maki Asano [Japon] ; Koji Baba [Japon] ; Aomi Suda [Japon] ; Daisuke Araoka [Japon] ; Ahmed Wali [Tunisie] ; Hiroko Isoda [Japon] ; Mitsutoshi Nakajima [Japon] ; Mohamed Ksibi [Tunisie] ; Kenji Tamura [Japon]

Source :

Food chemistry [ 1873-7072 ] ; 2019.

RBID : pubmed:30722924

Descripteurs français

KwdFr :
- Analyse discriminante (MeSH), Analyse en composantes principales (MeSH), Fruit (composition chimique), Fruit (métabolisme), Huile d'olive (composition chimique), Huile d'olive (métabolisme), Micro-ondes (MeSH), Métaux (analyse), Olea (composition chimique), Olea (métabolisme), Sol (composition chimique), Spectrométrie de masse (méthodes).
MESH :
- analyse : Métaux.
- composition chimique : Fruit, Huile d'olive, Olea, Sol.
- métabolisme : Fruit, Huile d'olive, Olea.
- méthodes : Spectrométrie de masse.
- Analyse discriminante, Analyse en composantes principales, Micro-ondes.

English descriptors

KwdEn :
- Discriminant Analysis (MeSH), Fruit (chemistry), Fruit (metabolism), Mass Spectrometry (methods), Metals (analysis), Microwaves (MeSH), Olea (chemistry), Olea (metabolism), Olive Oil (chemistry), Olive Oil (metabolism), Principal Component Analysis (MeSH), Soil (chemistry).
MESH :
- chemical , analysis : Metals.
- chemistry : Fruit, Olea, Olive Oil, Soil.
- metabolism : Fruit, Olea, Olive Oil.
- methods : Mass Spectrometry.
- Discriminant Analysis, Microwaves, Principal Component Analysis.

Abstract

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.

DOI: 10.1016/j.foodchem.2019.01.082
PubMed: 30722924

Affiliations:

Japon, Tunisie

Links toward previous steps (curation, corpus...)

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Le document en format XML

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<author><name sortKey="Isoda, Hiroko" sort="Isoda, Hiroko" uniqKey="Isoda H" first="Hiroko" last="Isoda">Hiroko Isoda</name>
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<author><name sortKey="Tamura, Kenji" sort="Tamura, Kenji" uniqKey="Tamura K" first="Kenji" last="Tamura">Kenji Tamura</name>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Discriminant Analysis (MeSH)</term>
<term>Fruit (chemistry)</term>
<term>Fruit (metabolism)</term>
<term>Mass Spectrometry (methods)</term>
<term>Metals (analysis)</term>
<term>Microwaves (MeSH)</term>
<term>Olea (chemistry)</term>
<term>Olea (metabolism)</term>
<term>Olive Oil (chemistry)</term>
<term>Olive Oil (metabolism)</term>
<term>Principal Component Analysis (MeSH)</term>
<term>Soil (chemistry)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Analyse discriminante (MeSH)</term>
<term>Analyse en composantes principales (MeSH)</term>
<term>Fruit (composition chimique)</term>
<term>Fruit (métabolisme)</term>
<term>Huile d'olive (composition chimique)</term>
<term>Huile d'olive (métabolisme)</term>
<term>Micro-ondes (MeSH)</term>
<term>Métaux (analyse)</term>
<term>Olea (composition chimique)</term>
<term>Olea (métabolisme)</term>
<term>Sol (composition chimique)</term>
<term>Spectrométrie de masse (méthodes)</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="analysis" xml:lang="en"><term>Metals</term>
</keywords>
<keywords scheme="MESH" qualifier="analyse" xml:lang="fr"><term>Métaux</term>
</keywords>
<keywords scheme="MESH" qualifier="chemistry" xml:lang="en"><term>Fruit</term>
<term>Olea</term>
<term>Olive Oil</term>
<term>Soil</term>
</keywords>
<keywords scheme="MESH" qualifier="composition chimique" xml:lang="fr"><term>Fruit</term>
<term>Huile d'olive</term>
<term>Olea</term>
<term>Sol</term>
</keywords>
<keywords scheme="MESH" qualifier="metabolism" xml:lang="en"><term>Fruit</term>
<term>Olea</term>
<term>Olive Oil</term>
</keywords>
<keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Mass Spectrometry</term>
</keywords>
<keywords scheme="MESH" qualifier="métabolisme" xml:lang="fr"><term>Fruit</term>
<term>Huile d'olive</term>
<term>Olea</term>
</keywords>
<keywords scheme="MESH" qualifier="méthodes" xml:lang="fr"><term>Spectrométrie de masse</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Discriminant Analysis</term>
<term>Microwaves</term>
<term>Principal Component Analysis</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Analyse discriminante</term>
<term>Analyse en composantes principales</term>
<term>Micro-ondes</term>
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<front><div type="abstract" xml:lang="en">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.</div>
</front>
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<name sortKey="Isoda, Hiroko" sort="Isoda, Hiroko" uniqKey="Isoda H" first="Hiroko" last="Isoda">Hiroko Isoda</name>
<name sortKey="Nakajima, Mitsutoshi" sort="Nakajima, Mitsutoshi" uniqKey="Nakajima M" first="Mitsutoshi" last="Nakajima">Mitsutoshi Nakajima</name>
<name sortKey="Suda, Aomi" sort="Suda, Aomi" uniqKey="Suda A" first="Aomi" last="Suda">Aomi Suda</name>
<name sortKey="Tamura, Kenji" sort="Tamura, Kenji" uniqKey="Tamura K" first="Kenji" last="Tamura">Kenji Tamura</name>
</country>
<country name="Tunisie"><noRegion><name sortKey="Wali, Ahmed" sort="Wali, Ahmed" uniqKey="Wali A" first="Ahmed" last="Wali">Ahmed Wali</name>
</noRegion>
<name sortKey="Ksibi, Mohamed" sort="Ksibi, Mohamed" uniqKey="Ksibi M" first="Mohamed" last="Ksibi">Mohamed Ksibi</name>
</country>
</tree>
</affiliations>
</record>

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   |texte=   Interregional traceability of Tunisian olive oils to the provenance soil by multielemental fingerprinting and chemometrics.
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	Serveur sur les données et bibliothèques médicales au Maghreb (version finale)
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Interregional traceability of Tunisian olive oils to the provenance soil by multielemental fingerprinting and chemometrics.

Interregional traceability of Tunisian olive oils to the provenance soil by multielemental fingerprinting and chemometrics.

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