Evidence map›Paper›PMID 30791529›Full record

ArticleMolecules (Basel, Switzerland)2019

Evaluation of WBSF, Color, Cooking Loss of

Jarosław Wyrwisz, Małgorzata Moczkowska, Marcin Andrzej Kurek, Sabina Karp, Atanas G Atanasov, Agnieszka Wierzbicka

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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

6 authors.

Jarosław WyrwiszDivision of Engineering in Nutrition, Department of Technique and Food Development, Warsaw University of Life Sciences (WULS-SGGW) 159c Nowoursynowska, 02-776 Warsaw, Poland. jaroslaw_wyrwisz@sggw.pl.
Małgorzata MoczkowskaDivision of Engineering in Nutrition, Department of Technique and Food Development, Warsaw University of Life Sciences (WULS-SGGW) 159c Nowoursynowska, 02-776 Warsaw, Poland. malgorzata_moczkowska@sggw.pl.ORCID 0000-0002-1641-1280
Marcin Andrzej KurekDivision of Engineering in Nutrition, Department of Technique and Food Development, Warsaw University of Life Sciences (WULS-SGGW) 159c Nowoursynowska, 02-776 Warsaw, Poland. marcin_kurek@sggw.pl.
Sabina KarpDivision of Engineering in Nutrition, Department of Technique and Food Development, Warsaw University of Life Sciences (WULS-SGGW) 159c Nowoursynowska, 02-776 Warsaw, Poland. sabina_karp@sggw.pl.
Atanas G AtanasovInstitute of Genetics and Animal Breeding of the Polish Academy of Sciences, 05-552 Jastrzebiec, Poland. atanas.atanasov@univie.ac.at.ORCID 0000-0003-2545-0967
Agnieszka WierzbickaDivision of Engineering in Nutrition, Department of Technique and Food Development, Warsaw University of Life Sciences (WULS-SGGW) 159c Nowoursynowska, 02-776 Warsaw, Poland. agnieszka_wierzbicka@sggw.pl.ORCID 0000-0002-5770-4573

Funding

Seventh Framework Programme WND-POIG.01.03.01-00-204/09
6 · The paper itself

Abstract

Near-infrared spectroscopy is a known technique for assessing the quality of compounds found in food products. However, it is still not widely used for predicting physical properties of meat using the online system. This study aims to assess the possibility of application of a NIR equipped with fiber optic system as an online measurement system to predict Warner⁻Bratzler shear force (WBSF) value, cooking loss (CL), and color of

Indexed as

CookingPigmentationSpectroscopy, Near-InfraredAnimalsCattleRed MeatTime FactorsbeefFT NIR spectroscopyquality predictionWBSF

Identifiers

PMID30791529
PMCPMC6412459

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.