Evidence map›Paper›PMID 37687155›Full record

ArticleMolecules (Basel, Switzerland)2023

Evaluation of the Quality of Selected White and Red Wines Produced from Moravia Region of Czech Republic Using Physicochemical Analysis, FTIR Infrared Spectroscopy and Chemometric Techniques.

Iwona Budziak-Wieczorek, Vladimír Mašán, Klaudia Rząd, Bożena Gładyszewska, Dariusz Karcz, Patrik Burg, Alice Čížková, Mariusz Gagoś, Arkadiusz Matwijczuk

Abstract read
In one paragraph

Article 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 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. Article
  2. Article
  3. Article
  4. ProbioticFood science & nutrition · 2024
    Article
  5. Article
  6. Influence of indigenous non-Frontiers in cellular and infection microbiology · 2024
    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

9 authors.

Iwona Budziak-WieczorekDepartment of Chemistry, Faculty of Life Sciences and Biotechnology, University of Life Sciences in Lublin, Akademicka 15, 20-950 Lublin, Poland.ORCID 0000-0002-5834-555X
Vladimír MašánDepartment of Horticultural Machinery, Mendel University in Brno, Valtická 337, 691 44 Lednice, Czech Republic.ORCID 0000-0002-3791-4354
Klaudia RządDepartment of Biophysics, University of Life Sciences in Lublin, Akademicka 13, 20-950 Lublin, Poland.ORCID 0009-0003-3633-8919
Bożena GładyszewskaDepartment of Biophysics, University of Life Sciences in Lublin, Akademicka 13, 20-950 Lublin, Poland.ORCID 0000-0002-8473-1403
Dariusz KarczDepartment of Chemical Technology and Environmental Analytics, Krakow University of Technology, 31-155 Krakow, Poland.ORCID 0000-0002-9848-2508
Patrik BurgDepartment of Horticultural Machinery, Mendel University in Brno, Valtická 337, 691 44 Lednice, Czech Republic.ORCID 0000-0003-4866-6963
Alice ČížkováDepartment of Horticultural Machinery, Mendel University in Brno, Valtická 337, 691 44 Lednice, Czech Republic.ORCID 0000-0003-1743-7754
Mariusz GagośDepartment of Biochemistry and Molecular Biology, Medical University of Lublin, 20-093 Lublin, Poland.ORCID 0000-0001-7139-4199
Arkadiusz MatwijczukDepartment of Biophysics, University of Life Sciences in Lublin, Akademicka 13, 20-950 Lublin, Poland.ORCID 0000-0003-2630-120X

Funding

CZ.02.1.01/0.0/0.0/16_017/0002334 Research Infrastructure for Young Scientists CZ.02.1.01/0.0/0.0/16_017/0002334Operational Program Research, Development and Education Operational Program Research, Development and Education
6 · The paper itself

Abstract

The FTIR-ATR method coupled with the multivariate analysis of specific spectral areas of samples was developed to characterize two white grape varieties (Sauvignon Blanc and Hibernal) and two blue grape varieties (André and Cabernet Moravia) of wine planted and harvested in the Moravia region, Czech Republic. Principal component analysis and hierarchical cluster analysis were performed using fingerprint regions of FTIR spectra for all wines. The results obtained by principal component analysis in combination with linear discriminant analysis (PCA-LDA) scores yielded clear separation between the four classes of samples and showed very good discrimination between the wine samples, with a 91.7% overall classification rate for the samples. The conducted FTIR spectroscopy studies coupled with chemometrics allowed for the swift analysis of multiple wine components with minimal sample preparation. These methods can be used in research to improve specific properties of these wines, which will undoubtedly enhance the quality of the final wine samples obtained.

Indexed as

WineChemometricsCzech RepublicSpectrophotometry, InfraredSpectroscopy, Fourier Transform Infraredchemometric analysisFTIR spectroscopygrape varietiesprincipal component analysiswine samples

Identifiers

PMID37687155
PMCPMC10489813

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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.