Authenticating teas using multielement signatures, strontium isotope ratios, and volatile compound profiling
•VOCs profiles, 87Sr/86Sr ratio and multielement analysis were applied on tea.•87Sr/86Sr ratio discriminated 6 of the 11 regions of the sample collection.•Inorganic pattern improved the discrimination of Sr isotope ratio up to 10.•Volatile fingerprints were mainly impacted by the type of Camelia cul...
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Published in: | Food chemistry Vol. 423; p. 136271 |
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15-10-2023
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Abstract | •VOCs profiles, 87Sr/86Sr ratio and multielement analysis were applied on tea.•87Sr/86Sr ratio discriminated 6 of the 11 regions of the sample collection.•Inorganic pattern improved the discrimination of Sr isotope ratio up to 10.•Volatile fingerprints were mainly impacted by the type of Camelia cultivar.•Hexanal and hexanol were highlighted for the classification with oxidation rate.
High value food products are subject to adulterations and frauds. This study aimed to combine, in our knowledge for the first time, inorganic chemical tracers (multi-elements and Sr isotopy) with volatile organic compound (VOCs) to discriminate the geographic origin, the varieties and transformation processes to authenticate 26 tea samples. By measuring Sr isotope ratio using the multi-collector inductively coupled plasma mass spectrometry (MC-ICP-MS), 6 out of 11 regions were successfully discriminated. The combination with the ICP-MS inorganic pattern allowed to discriminate 4 more regions with a significance level of 0.05. VOCs fingerprints, obtained with selected ion flow tube mass spectrometer (SIFT-MS), were not correlated with origin but with the cultivar and transformation processes. Green, oolong, and dark teas were clearly differentiated, with hexanal and hexanol contributing to the discrimination of oxidation levels. With this multi-instrumental approach, it is possible to certify the geographical origin and the tea conformity. |
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AbstractList | •VOCs profiles, 87Sr/86Sr ratio and multielement analysis were applied on tea.•87Sr/86Sr ratio discriminated 6 of the 11 regions of the sample collection.•Inorganic pattern improved the discrimination of Sr isotope ratio up to 10.•Volatile fingerprints were mainly impacted by the type of Camelia cultivar.•Hexanal and hexanol were highlighted for the classification with oxidation rate.
High value food products are subject to adulterations and frauds. This study aimed to combine, in our knowledge for the first time, inorganic chemical tracers (multi-elements and Sr isotopy) with volatile organic compound (VOCs) to discriminate the geographic origin, the varieties and transformation processes to authenticate 26 tea samples. By measuring Sr isotope ratio using the multi-collector inductively coupled plasma mass spectrometry (MC-ICP-MS), 6 out of 11 regions were successfully discriminated. The combination with the ICP-MS inorganic pattern allowed to discriminate 4 more regions with a significance level of 0.05. VOCs fingerprints, obtained with selected ion flow tube mass spectrometer (SIFT-MS), were not correlated with origin but with the cultivar and transformation processes. Green, oolong, and dark teas were clearly differentiated, with hexanal and hexanol contributing to the discrimination of oxidation levels. With this multi-instrumental approach, it is possible to certify the geographical origin and the tea conformity. High value food products are subject to adulterations and frauds. This study aimed to combine, in our knowledge for the first time, inorganic chemical tracers (multi-elements and Sr isotopy) with volatile organic compound (VOCs) to discriminate the geographic origin, the varieties and transformation processes to authenticate 26 tea samples. By measuring Sr isotope ratio using the multi-collector inductively coupled plasma mass spectrometry (MC-ICP-MS), 6 out of 11 regions were successfully discriminated. The combination with the ICP-MS inorganic pattern allowed to discriminate 4 more regions with a significance level of 0.05. VOCs fingerprints, obtained with selected ion flow tube mass spectrometer (SIFT-MS), were not correlated with origin but with the cultivar and transformation processes. Green, oolong, and dark teas were clearly differentiated, with hexanal and hexanol contributing to the discrimination of oxidation levels. With this multi-instrumental approach, it is possible to certify the geographical origin and the tea conformity. |
ArticleNumber | 136271 |
Author | Le Bechec, Mickael Barre, Julien Epova, Ekaterina N. Bareille, Gilles Pigot, Thierry Reyrolle, Marine Bérail, Sylvain Desauziers, Valerie Gautier, Lydia |
Author_xml | – sequence: 1 givenname: Marine surname: Reyrolle fullname: Reyrolle, Marine organization: Universite de Pau et des Pays de l’Adour, E2S UPPA, CNRS, IMT Mines Ales, IPREM, Pau, France – sequence: 2 givenname: Gilles surname: Bareille fullname: Bareille, Gilles organization: Universite de Pau et des Pays de l’Adour, E2S UPPA, CNRS, IMT Mines Ales, IPREM, Pau, France – sequence: 3 givenname: Ekaterina N. surname: Epova fullname: Epova, Ekaterina N. organization: Advanced Isotopic Analysis (A.I.A.), Hélioparc, 2 avenue du Président Angot, 64000, Pau, France – sequence: 4 givenname: Julien surname: Barre fullname: Barre, Julien organization: Advanced Isotopic Analysis (A.I.A.), Hélioparc, 2 avenue du Président Angot, 64000, Pau, France – sequence: 5 givenname: Sylvain surname: Bérail fullname: Bérail, Sylvain organization: Advanced Isotopic Analysis (A.I.A.), Hélioparc, 2 avenue du Président Angot, 64000, Pau, France – sequence: 6 givenname: Thierry surname: Pigot fullname: Pigot, Thierry organization: Universite de Pau et des Pays de l’Adour, E2S UPPA, CNRS, IMT Mines Ales, IPREM, Pau, France – sequence: 7 givenname: Valerie surname: Desauziers fullname: Desauziers, Valerie organization: Universite de Pau et des Pays de l’Adour, E2S UPPA, CNRS, IMT Mines Ales, IPREM, Pau, France – sequence: 8 givenname: Lydia surname: Gautier fullname: Gautier, Lydia organization: T Edition, 63 rue Vercingétorix, 75014 Paris, France – sequence: 9 givenname: Mickael surname: Le Bechec fullname: Le Bechec, Mickael email: mickael.lebechec@univ-pau.fr organization: Universite de Pau et des Pays de l’Adour, E2S UPPA, CNRS, IMT Mines Ales, IPREM, Pau, France |
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Keywords | VOCs PLS-DA DIMS PTR-MS Authenticity of food products Traceability Tea Inorganic pattern Sr isotope ratio MC-ICP-MS SIFT-MS PDO ICP-MS Volatile organic compounds profiling |
Language | English |
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Snippet | •VOCs profiles, 87Sr/86Sr ratio and multielement analysis were applied on tea.•87Sr/86Sr ratio discriminated 6 of the 11 regions of the sample... High value food products are subject to adulterations and frauds. This study aimed to combine, in our knowledge for the first time, inorganic chemical tracers... |
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SubjectTerms | Analytical chemistry Authenticity of food products Chemical Sciences Inorganic pattern Isotopes - chemistry Mass Spectrometry - methods Spectrum Analysis Sr isotope ratio Strontium Isotopes - analysis Tea Tea - chemistry Traceability Volatile Organic Compounds - analysis Volatile organic compounds profiling |
Title | Authenticating teas using multielement signatures, strontium isotope ratios, and volatile compound profiling |
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