Evidence map›Paper›PMID 35875234›Full record

ArticleJournal of food science and technology2022

Assessment of meat quality distributions of breast fillets with woody breast condition in the raw and cooked state.

Xiao Sun, Jinjie You, Clay J Maynard, Juan P Caldas-Cueva, Aline Giampietro-Ganeco, Casey M Owens

Abstract read
In one paragraph

Article in Journal of food science and technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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.

Xiao Sun *School of Biological Science and Food Engineering, Chuzhou University, Chuzhou, 239000 Anhui China.ORCID 0000-0002-2529-1145
Jinjie You *School of Biological Science and Food Engineering, Chuzhou University, Chuzhou, 239000 Anhui China.
Clay J MaynardDepartment of Poultry Science, University of Arkansas Division of Agriculture, Fayetteville, AR 72701 USA.
Juan P Caldas-CuevaDepartment of Poultry Science, University of Arkansas Division of Agriculture, Fayetteville, AR 72701 USA.
Aline Giampietro-GanecoDepartment of Food Engineering, University of São Paulo-USP, Pirassununga, SP 13635-900 Brazil.
Casey M OwensDepartment of Poultry Science, University of Arkansas Division of Agriculture, Fayetteville, AR 72701 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study was to determine meat quality distributions and assess hardness distributions in raw and cooked breast fillets with the woody breast (WB) condition, in addition to evaluating the relationship between water properties and WB severity. A total of 90 breast fillets were collected and categorized as normal (NORM), mild (MILD) and severe (SEV). Breast weight, drip loss, compression measurements, cook loss, shear and texture profile analysis (TPA) values were measured for each sample by fillet location (cranial to caudal) and sampling depth (cranial-superficial, cranial-internal, middle-superficial, and middle-internal) in the raw and cooked meat state. Low-field NMR relaxation measurements were also collected for both the raw and cooked fillets. Results indicate that severe WB expressed increased hardness, a higher water content (bound water and free water) and reduced meat quality attributes in raw and cooked meat. Breast fillet hardness and meat quality distributions were unevenly distributed between fillets, compression measurements were higher mainly in the cranial region, and progressively decreased toward the caudal region for both raw and cooked fillets. Shear force and energy values were higher in the cranial region than in the middle region, and TPA values were higher in superficial regions rather than internal portions. Additionally, low-field NMR could be used to predict WB through variation in water properties as thermal processing reduces water distributing abilities in affected fillets.

Indexed as

HardnessLow-field NMRMeat qualityTexture analysisWoody breast

Identifiers

PMID35875234
PMCPMC9304453

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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.