Evidence map›Paper›PMID 36848621›Full record

ArticleJournal of agricultural and food chemistry2024

Development of a Fully Automated Method HS-SPME-GC-MS/MS for the Determination of Odor-Active Carbonyls in Wines: a "Green" Approach to Improve Robustness and Productivity in the Oenological Analytical Chemistry.

Maurizio Piergiovanni, Silvia Carlin, Cesare Lotti, Urska Vrhovsek, Fulvio Mattivi

Abstract read
In one paragraph

Article in Journal of agricultural and food chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Multi-Analysis Characterization ofFoods (Basel, Switzerland) · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Volatilomics of Fruit Wines.Molecules (Basel, Switzerland) · 2024
    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

5 authors.

Maurizio PiergiovanniCenter Agriculture Food Environment (C3A), University of Trento, San Michele all'Adige (TN) 38010, Italy.ORCID 0000-0003-2893-3278
Silvia CarlinCenter Research and Innovation, Edmund Mach Foundation, San Michele all'Adige (TN) 38010, Italy.ORCID 0000-0003-0398-6947
Cesare LottiCenter Research and Innovation, Edmund Mach Foundation, San Michele all'Adige (TN) 38010, Italy.
Urska VrhovsekCenter Research and Innovation, Edmund Mach Foundation, San Michele all'Adige (TN) 38010, Italy.ORCID 0000-0002-7921-3249
Fulvio MattiviCenter Research and Innovation, Edmund Mach Foundation, San Michele all'Adige (TN) 38010, Italy.ORCID 0000-0003-4935-5876

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was the optimization and validation of a green, robust, and comprehensive method for the determination of volatile carbonyl compounds (VCCs) in wines that could be added as a new quality control tool for the evaluation of a complete fermentation, correct winemaking style, and proper bottling and storage. A HS-SPME-GC-MS/MS method was optimized and automated using the autosampler to improve overall performance. A solvent-less technique and a strong minimization of all volumes were implemented to comply with the green analytical chemistry principles. There were as many as 44 VCC (mainly linear aldehydes, Strecker aldehydes, unsaturated aldehydes, ketones, and many other) analytes under investigation. All compounds showed a good linearity, and the LOQs were abundantly under the relevant perception thresholds. Intraday, 5-day interday repeatability, and recovery performances in a spiked real sample were evaluated showing satisfactory results. The method was applied to determine the evolution of VCCs in white and red wines after accelerated aging for 5 weeks at 50 °C. Furans and linear and Strecker aldehydes were the compounds that showed the most important variation; many VCCs increased in both classes of samples, whereas some showed different behaviors between white and red cultivars. The obtained results are in strong accordance with the latest models on carbonyl evolution related to wine aging.

Indexed as

Volatile Organic CompoundsWineAldehydesGas Chromatography-Mass SpectrometryOdorantsSolid Phase MicroextractionTandem Mass SpectrometryAldehydesVolatile Organic Compoundsaccelerated aginggreen analytical chemistryHS-SPMEoxidationoxygenVolatile carbonyl compoundswine aging

Identifiers

PMID36848621
PMCPMC10835727

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LicenceCC BY
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Registered trials

None linked

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.