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Phenolic Profiling for Traceability of Vanilla ×tahitensis

Overview of attention for article published in Frontiers in Plant Science, October 2017
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Title
Phenolic Profiling for Traceability of Vanilla ×tahitensis
Published in
Frontiers in Plant Science, October 2017
DOI 10.3389/fpls.2017.01746
Pubmed ID
Authors

Matteo Busconi, Luigi Lucini, Giovanna Soffritti, Jamila Bernardi, Letizia Bernardo, Christel Brunschwig, Sandra Lepers-Andrzejewski, Phila Raharivelomanana, Jose A. Fernandez

Abstract

Vanilla is a flavoring recovered from the cured beans of the orchid genus Vanilla. Vanilla ×tahitensis is traditionally cultivated on the islands of French Polynesia, where vanilla vines were first introduced during the nineteenth century and, since the 1960s, have been introduced to other Pacific countries such as Papua New Guinea (PNG), cultivated and sold as "Tahitian vanilla," although both sensory properties and aspect are different. From an economic point of view, it is important to ensure V. ×tahitensis traceability and to guarantee that the marketed product is part of the future protected designation of the origin "Tahitian vanilla" (PDO), currently in progress in French Polynesia. The application of metabolomics, allowing the detection and simultaneous analysis of hundreds or thousands of metabolites from different matrices, has recently gained high interest in food traceability. Here, metabolomics analysis of phenolic compounds profiles was successfully applied for the first time to V. ×tahitensis to deepen our knowledge of vanilla metabolome, focusing on phenolics compounds, for traceability purposes. Phenolics were screened through a quadrupole-time-of-flight mass spectrometer coupled to a UHPLC liquid chromatography system, and 260 different compounds were clearly evidenced and subjected to different statistical analysis in order to enable the discrimination of the samples based on their origin. Eighty-eight and twenty three compounds, with a prevalence of flavonoids, resulted to be highly discriminant through ANOVA and Orthogonal Projections to Latent Structures Discriminant Analysis (OPLS-DA) respectively. Volcano plot analysis and pairwise comparisons were carried out to determine those compounds, mainly responsible for the differences among samples as a consequence of either origin or cultivar. The samples from PNG were clearly different from the Tahitian samples that were further divided in two different groups based on the different phenolic patterns. Among the 260 compounds, metabolomics analysis enabled the detection of previously unreported phenolics in vanilla (such as flavonoids, lignans, stilbenes and other polyphenols).

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Mendeley readers

Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 19%
Student > Ph. D. Student 9 16%
Student > Master 7 12%
Student > Bachelor 4 7%
Student > Doctoral Student 3 5%
Other 9 16%
Unknown 14 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 25%
Chemistry 7 12%
Biochemistry, Genetics and Molecular Biology 5 9%
Unspecified 3 5%
Engineering 3 5%
Other 7 12%
Unknown 18 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 November 2017.
All research outputs
#20,451,228
of 23,007,053 outputs
Outputs from Frontiers in Plant Science
#16,393
of 20,507 outputs
Outputs of similar age
#283,334
of 324,846 outputs
Outputs of similar age from Frontiers in Plant Science
#400
of 477 outputs
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