Evidence map›Paper›PMID 36121471›Full record

ArticleAnalytical and bioanalytical chemistry2022

Untargeted metabolomic analysis by ultra-high-resolution mass spectrometry for the profiling of new Italian wine varieties.

Alberto Onzo, Maria Assunta Acquavia, Raffaella Pascale, Patrizia Iannece, Carmine Gaeta, Filomena Lelario, Rosanna Ciriello, Carmen Tesoro, Giuliana Bianco, Angela Di Capua

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Article in Analytical and bioanalytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Molecules (Basel, Switzerland) · 2024
    Article
  3. Article
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

10 authors.

Alberto OnzoDipartimento Di Scienze, Università Degli Studi Della Basilicata, Via dell'Ateneo Lucano 10, Potenza, Italy.
Maria Assunta AcquaviaDipartimento Di Scienze, Università Degli Studi Della Basilicata, Via dell'Ateneo Lucano 10, Potenza, Italy. maria.acquavia@unibas.it.
Raffaella PascaleGnosis By Lesaffre, Pisticci, 75015, Matera, Italy.
Patrizia IanneceDipartimento Di Chimica e Biologia, Università Degli Studi Di Salerno, Via Giovanni Paolo II 132, Fisciano, Italy.
Carmine GaetaDipartimento Di Chimica e Biologia, Università Degli Studi Di Salerno, Via Giovanni Paolo II 132, Fisciano, Italy.
Filomena LelarioDipartimento Di Scienze, Università Degli Studi Della Basilicata, Via dell'Ateneo Lucano 10, Potenza, Italy.
Rosanna CirielloDipartimento Di Scienze, Università Degli Studi Della Basilicata, Via dell'Ateneo Lucano 10, Potenza, Italy.
Carmen TesoroDipartimento Di Scienze, Università Degli Studi Della Basilicata, Via dell'Ateneo Lucano 10, Potenza, Italy.
Giuliana BiancoDipartimento Di Scienze, Università Degli Studi Della Basilicata, Via dell'Ateneo Lucano 10, Potenza, Italy.
Angela Di CapuaDipartimento Di Scienze, Università Degli Studi Della Basilicata, Via dell'Ateneo Lucano 10, Potenza, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The chemical composition of wine samples comprises numerous bioactive compounds responsible for unique flavor and health-promoting properties. Thus, it's important to have a complete overview of the metabolic profile of new wine products in order to obtain peculiar information in terms of their phytochemical composition, quality, and traceability. To achieve this aim, in this work, a mass spectrometry-based phytochemical screening was performed on seven new wine products from Villa D'Agri in the Basilicata region (Italy), i.e., Aglianico Bianco, Plavina, Guisana, Giosana, Malvasia ad acino piccolo, Colata Murro and Santa Sofia. Ultra-high-resolution mass spectrometry data were processed into absorption mode FT-ICR mass spectra, in order to remove artifacts and achieve a higher resolution and lower levels of noise. Accurate mass-to-charge ratio (m/z) values were converted into putative elemental formulas. Therefore, 2D van Krevelen diagrams were used as a tool to obtain molecular formula maps useful to perform a rapid and more comprehensive analysis of the wine sample metabolome. The presence of important metabolite classes, i.e., fatty acid derivatives, amino acids and peptides, carbohydrates and phenolic derivatives, was assessed. Moreover, the comparison of obtained metabolomic maps revealed some differences among profiles, suggesting their employment as metabolic fingerprints. This study shed some light on the metabolic composition of seven new Italian wine varieties, improving their value in terms of related bioactive compound content. Moreover, different metabolomic fingerprints were obtained for each of them, suggesting the use of molecular maps as innovative tool to ascertain their unique metabolic profile.

Indexed as

WineAmino AcidsCarbohydratesFatty AcidsMass SpectrometryMetabolomicsPeptidesAmino AcidsCarbohydratesFatty AcidsPeptidesHigh-resolution mass spectrometryMetabolomicsUntargetedVan KrevelenWine

Identifiers

PMID36121471

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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.