Evidence map›Paper›PMID 38005363›Full record

ReviewMolecules (Basel, Switzerland)2023

Advances in the Application of Direct Injection Mass Spectrometry Techniques to the Analysis of Grape, Wine and Other Alcoholic Beverages.

Andrea Romano, Vittorio Capozzi, Iuliia Khomenko, Franco Biasioli

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

4 authors.

Andrea RomanoResearch and Innovation Centre, Edmund Mach Foundation, Via Edmund Mach, 1, 38010 San Michele all'Adige, Italy.
Vittorio CapozziInstitute of Sciences of Food Production, National Research Council (CNR) of Italy, c/o CS-DAT, 71122 Foggia, Italy.ORCID 0000-0002-0717-0753
Iuliia KhomenkoResearch and Innovation Centre, Edmund Mach Foundation, Via Edmund Mach, 1, 38010 San Michele all'Adige, Italy.
Franco BiasioliResearch and Innovation Centre, Edmund Mach Foundation, Via Edmund Mach, 1, 38010 San Michele all'Adige, Italy.ORCID 0000-0001-5715-9686

Funding

European Union Next Generation EU (PNRR, project code PE00000003)
6 · The paper itself

Abstract

Direct injection mass spectrometry (DIMS) entails the direct introduction of a gaseous sample into a mass analyser without prior treatment or separation. DIMS techniques offer the opportunity to monitor processes in time, with limits of detection as low as 0.5 parts per trillion in volume (for a 1 s measurement time) while providing results with high informational content. This review provides insight into current and promising future developments of DIMS in the analysis of grape, wine and other alcoholic beverages. Thanks to its unique characteristics, DIMS allows the online monitoring of volatile organic compounds (VOCs) released by grapes during fermentative bioprocesses or by wine directly from the glass headspace or during drinking. A DIMS-based approach can also be adopted to perform quality control and high-throughput analysis, allowing us to characterise the volatile profile of large sample sets rapidly and in a comprehensive fashion. Furthermore, DIMS presents several characteristic elements of green analytical chemistry approaches, catalysing an interest linked to the development of sustainable paths in research and development activities in the field of viticulture and oenology.

Indexed as

VitisVolatile Organic CompoundsWineAlcoholic BeveragesMass SpectrometryVolatile Organic Compoundsdirect injection mass spectrometryethanolgrapevolatile organic compoundswine

Identifiers

PMID38005363
PMCPMC10675140

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.