Evidence map›Paper›PMID 25734021›Full record

ArticleJournal of analytical methods in chemistry2015

Study of Grape Polyphenols by Liquid Chromatography-High-Resolution Mass Spectrometry (UHPLC/QTOF) and Suspect Screening Analysis.

Riccardo Flamini, Mirko De Rosso, Luigi Bavaresco

Abstract read
In one paragraph

Article in Journal of analytical methods in chemistry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

  1. Article
  2. Integration of LC-HRMS andFood chemistry: X · 2024
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  3. Article
  4. Article
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  6. Article
  7. Article
  8. Review
  9. Article
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  12. Combined MS/MS-NMR Annotation Guided Discovery ofMolecules (Basel, Switzerland) · 2020
    Article
  13. Article
  14. Article
  15. Crop metabolomics: from diagnostics to assisted breeding.Metabolomics : Official journal of the Metabolomic Society · 2018
    Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Riccardo FlaminiConsiglio per la Ricerca e la Sperimentazione in Agricoltura, Centro di Ricerca per la Viticoltura (CRA-VIT), Laboratorio Chimico, Viale XXVIII Aprile 26, 31015 Conegliano, Italy.
Mirko De RossoConsiglio per la Ricerca e la Sperimentazione in Agricoltura, Centro di Ricerca per la Viticoltura (CRA-VIT), Laboratorio Chimico, Viale XXVIII Aprile 26, 31015 Conegliano, Italy.
Luigi BavarescoIstituto di Frutti-Viticoltura, Università Cattolica S.C., Via Emilia Parmense 84, 29122 Piacenza, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Suspect screening analysis is a targeted metabolomics method in which the identification of compounds relies on specific available information, such as their molecular formula and isotopic pattern. This method, coupled to liquid chromatography-high-resolution mass spectrometry, is effective in the study of grape metabolomics, in particular for characterization of flavonols, stilbene derivatives, and anthocyanins. For identification of compounds expected in the samples, a new database of putative compounds was expressly constructed by using the molecular information on potential metabolites of grape and wine from the literature and other electronic databases. Currently, this database contains around 1,100 compounds. The method allows identification of several hundred grape metabolites with two analyses (positive and negative ionization modes), and performing of data reprocessing using "untargeted" algorithms also provided the identification of some flavonols and resveratrol trimers and tetramers in grape for the first time. This approach can be potentially used in the study of metabolomics of varieties of other plant species.

Identifiers

PMID25734021
PMCPMC4334975

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.