Evidence map›Paper›PMID 41683024›Full record

ArticleFoods (Basel, Switzerland)2026

The Influence of the Site of Recording and Benchtop and Portable NIRS Equipment on Predicting the Sensory Properties of Iberian Ham.

Isabel Revilla, Ana María Vivar-Quintana, Iván Martínez-Martín, Pedro Hernández-Ramos, Miriam Hernández-Jiménez, Justyna Grabska, Krzysztof B Beć, Christian W Huck

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Isabel RevillaArea of Food Technology, Polytechnical Superior School of Zamora, Universidad de Salamanca, Avenida Requejo 33, 49022 Zamora, Spain.ORCID 0000-0002-4067-3416
Ana María Vivar-QuintanaArea of Food Technology, Polytechnical Superior School of Zamora, Universidad de Salamanca, Avenida Requejo 33, 49022 Zamora, Spain.ORCID 0000-0003-1543-4736
Iván Martínez-MartínArea of Food Technology, Polytechnical Superior School of Zamora, Universidad de Salamanca, Avenida Requejo 33, 49022 Zamora, Spain.ORCID 0000-0002-6758-9353
Pedro Hernández-RamosArea of Graphic Expression in Engineering, Polytechnical Superior School of Zamora, Universidad de Salamanca, Avenida Requejo 33, 49022 Zamora, Spain.ORCID 0000-0002-8284-6143
Miriam Hernández-JiménezScience and Arts Faculty, Universidad Católica de Avila, Calle Canteros s/n, 05005 Avila, Spain.ORCID 0000-0001-9643-883X
Justyna GrabskaInstitute of Analytical Chemistry and Radiochemistry, Leopold-Franzens University of Innsbruck, 6020 Innsbruck, Austria.ORCID 0000-0002-9280-2902
Krzysztof B BećInstitute of Analytical Chemistry and Radiochemistry, Leopold-Franzens University of Innsbruck, 6020 Innsbruck, Austria.ORCID 0000-0003-0822-5098
Christian W HuckInstitute of Analytical Chemistry and Radiochemistry, Leopold-Franzens University of Innsbruck, 6020 Innsbruck, Austria.ORCID 0000-0002-6272-3242

Funding

Diputación de Salamanca 18VEUH 463AC06
6 · The paper itself

Abstract

Iberian ham is a Spanish product that is highly prized for its unique sensory characteristics. The possibility of predicting these characteristics using non-invasive methods is therefore of great interest. In this context, this study compares the performance of two benchtop and four portable devices in addition to the influence of recording factors (lean meat, fat, and whole slices) for the prediction of sensory parameters. A total of 28 descriptors were determined by a trained panel for 60 samples (100% Iberian and Iberian), and the sensory profile was predicted by using a feedforward multilayer perceptron artificial neural network. A significant effect of the breed on the sensory profile and the spectral characteristics was observed, especially in the case of fat. On the other hand, the NIRFlex N-500 (desktop) and MicroPhazir (portable) devices gave the best performances, with 27 parameters predicted for whole slices and fat, respectively (R

Indexed as

fatIberian haminstrumental differencelean meatnear infrared spectroscopywhole slices

Identifiers

PMID41683024
PMCPMC12896908

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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.