Evidence map›Paper›PMID 38067937›Full record

ArticleSensors (Basel, Switzerland)2023

Acoustic Characterization Study of Beef Loins Using Ultrasonic Transducers.

Antonio Jiménez, Montaña Rufo, Jesús M Paniagua, Alberto González-Mohino, Teresa Antequera, Trinidad Perez-Palacios

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 31% of its field
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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

6 authors at 1 institution in 1 country.

Antonio JiménezDepartment of Applied Physics, School of Technology, Research Institute of Meat and Meat Product, Universidad de Extremadura, Avenida de la Universidad s/n, 10003 Cáceres, Spain.ORCID 0000-0002-2750-4132
Montaña RufoDepartment of Applied Physics, School of Technology, Research Institute of Meat and Meat Product, Universidad de Extremadura, Avenida de la Universidad s/n, 10003 Cáceres, Spain.ORCID 0000-0002-3760-8795
Jesús M PaniaguaDepartment of Applied Physics, School of Technology, Research Institute of Meat and Meat Product, Universidad de Extremadura, Avenida de la Universidad s/n, 10003 Cáceres, Spain.
Alberto González-MohinoDepartment of Food Technology, Faculty of Veterinary, Research Institute of Meat and Meat Product, Universidad de Extremadura, Avenida de la Universidad s/n, 10003 Cáceres, Spain.ORCID 0000-0001-9273-9723
Teresa AntequeraDepartment of Food Technology, Faculty of Veterinary, Research Institute of Meat and Meat Product, Universidad de Extremadura, Avenida de la Universidad s/n, 10003 Cáceres, Spain.ORCID 0000-0001-6951-0015
Trinidad Perez-PalaciosDepartment of Food Technology, Faculty of Veterinary, Research Institute of Meat and Meat Product, Universidad de Extremadura, Avenida de la Universidad s/n, 10003 Cáceres, Spain.ORCID 0000-0002-0095-5785
Universidad de Extremadura · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study was to non-destructively characterize samples of fresh beef loin by low-intensity ultrasound inspection at various frequencies and to correlate the acoustic parameters of these inspections with quality parameters. In this regard, ultrasonic parameters such as ultrasound pulse velocity (UPV) and variables related to attenuation and frequency components obtained from fast Fourier transform (FFT) were considered. For this, pulsed ultrasonic signal transducers with a frequency of 0.5 and 1.0 MHz were used. Acoustic parameters and those obtained through traditional instrumental analyses (physicochemical and texture) underwent a Pearson correlation analysis. The acoustic determinations revealed numerous significant correlations with the rest of the studied parameters. The results demonstrate that ultrasonic inspection has the ability to characterize samples with a non-destructive nature, and likewise, this methodology can be postulated as a promising predictive tool for determining quality parameters in beef loin samples.

Indexed as

TorsoUltrasonicsAnimalsCattleFourier AnalysisUltrasonographyfresh beef loinsquality parametersultrasonic transducersultrasound parameters

Identifiers

PMID38067937
PMCPMC10708575
OpenAlexW4389264623

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.