Evidence map›Paper›PMID 35406997›Full record

ReviewFoods (Basel, Switzerland)2022

Use of Multivariate Statistics in the Processing of Data on Wine Volatile Compounds Obtained by HS-SPME-GC-MS.

Maria Tufariello, Sandra Pati, Lorenzo Palombi, Francesco Grieco, Ilario Losito

Abstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. What Can Fluorescence Tell Us About Wine?International journal of molecular sciences · 2025
    Review
  7. Article
  8. Article
  9. Volatilomics of Fruit Wines.Molecules (Basel, Switzerland) · 2024
    Review
  10. Article
  11. Article
  12. Changes in the Sensory Odor Profile duringFoods (Basel, Switzerland) · 2023
    Article
  13. 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

5 authors.

Maria TufarielloCNR-Institute of Sciences of Food Production (ISPA), Via Prov. le, Lecce-Monteroni, 73100 Lecce, Italy.ORCID 0000-0001-8856-7543
Sandra PatiDepartment of Agriculture, Food, Natural Resources and Engineering (DAFNE), University of Foggia, Via Napoli 25, 71100 Foggia, Italy.
Lorenzo PalombiCNR-Institute for Applied Physics "Nello Carrara" (IFAC), Via Madonna del Piano 10, Sesto Fiorentino, 50019 Firenze, Italy.ORCID 0000-0001-9219-564X
Francesco GriecoCNR-Institute of Sciences of Food Production (ISPA), Via Prov. le, Lecce-Monteroni, 73100 Lecce, Italy.ORCID 0000-0002-8599-6091
Ilario LositoDepartment of Chemistry and SMART Inter-Department Research Center, University of Bari "Aldo Moro", Via E. Orabona 4, 70126 Bari, Italy.ORCID 0000-0003-0025-3350

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review takes a snapshot of the main multivariate statistical techniques and methods used to process data on the concentrations of wine volatile molecules extracted by means of solid phase micro-extraction and analyzed using GC-MS. Hypothesis test, exploratory analysis, regression models, and unsupervised and supervised pattern recognition methods are illustrated and discussed. Several applications in the wine volatolomic sector are described to highlight different interactions among the various matrix components and volatiles. In addition, the use of Artificial Intelligence-based methods is discussed as an innovative class of methods for validating wine varietal authenticity and geographical traceability.

Indexed as

artificial intelligenceHS-SPME-GC-MSmultivariate statistical analysisvolatile compoundswine

Identifiers

PMID35406997
PMCPMC8997410

What OpenQuestion holds

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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.