Evidence map›Paper›PMID 39767106›Full record

ArticleFoods (Basel, Switzerland)2024

Comparison of Multiple NIR Instruments for the Quantitative Evaluation of Grape Seed and Other Polyphenolic Extracts with High Chemical Similarities.

Matyas Lukacs, Flora Vitalis, Adrienn Bardos, Judit Tormási, Krzysztof B Bec, Justyna Grabska, Zoltan Gillay, Rita A Tömösközi-Farkas, László Abrankó, Donatella Albanese and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Foods (Basel, Switzerland), 2024. 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. Article
  2. 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

13 authors.

Matyas LukacsDepartment of Food Measurement and Process Control, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, 1118 Budapest, Hungary.ORCID 0009-0004-9613-910X
Flora VitalisDepartment of Food Measurement and Process Control, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, 1118 Budapest, Hungary.ORCID 0000-0002-4198-2202
Adrienn BardosDepartment of Food Measurement and Process Control, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, 1118 Budapest, Hungary.
Judit TormásiDepartment of Food Chemistry and Analytics, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, 1118 Budapest, Hungary.ORCID 0000-0003-1075-9312
Krzysztof B BecInstitute of Analytical Chemistry and Radiochemistry, CCB-Center for Chemistry and Biomedicine, Leopold Franzens University, Innrain 80/82, 6020 Innsbruck, Austria.ORCID 0000-0003-0822-5098
Justyna GrabskaInstitute of Analytical Chemistry and Radiochemistry, CCB-Center for Chemistry and Biomedicine, Leopold Franzens University, Innrain 80/82, 6020 Innsbruck, Austria.ORCID 0000-0002-9280-2902
Zoltan GillayDepartment of Food Measurement and Process Control, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, 1118 Budapest, Hungary.ORCID 0000-0002-2801-0847
Rita A Tömösközi-FarkasDepartment of Food Chemistry and Analytics, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, 1118 Budapest, Hungary.ORCID 0000-0002-2479-0292
László AbrankóDepartment of Food Chemistry and Analytics, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, 1118 Budapest, Hungary.ORCID 0000-0002-0160-7280
Donatella AlbaneseDepartment of Industrial Engineering, University of Salerno, 84084 Salerno, Italy.ORCID 0000-0001-9072-2098
Francesca MalvanoDepartment of Industrial Engineering, University of Salerno, 84084 Salerno, Italy.ORCID 0000-0003-2243-630X
Christian W HuckInstitute of Analytical Chemistry and Radiochemistry, CCB-Center for Chemistry and Biomedicine, Leopold Franzens University, Innrain 80/82, 6020 Innsbruck, Austria.ORCID 0000-0002-6272-3242
Zoltan KovacsDepartment of Food Measurement and Process Control, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, 1118 Budapest, Hungary.ORCID 0000-0003-0641-8830

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Grape seed extract (GSE), one of the world's bestselling dietary supplements, is prone to frequent adulteration with chemically similar compounds. These frauds can go unnoticed within the supply chain due to the use of unspecific standard analytical methods for quality control. This research aims to develop a near-infrared spectroscopy (NIRS) method for the rapid and non-destructive quantitative evaluation of GSE powder in the presence of multiple additives. Samples were prepared by mixing GSE with pine bark extract (PBE) and green tea extract (GTE) on different levels between 0.5 and 13% in singular and dual combinations. Measurements were performed with a desktop and three different handheld devices for performance comparison. Following spectral pretreatment, partial least squares regression (PLSR) and support vector regression (SVR)-based quantitative models were built to predict extract concentrations and various chemical parameters. Cross- and external-validated models could reach a minimum

Indexed as

chemometricsdietary supplementgrape seed extracthandheld devicemachine learningnear-infrared spectroscopy

Identifiers

PMID39767106
PMCPMC11675291

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.