Evidence map›Paper›PMID 41821704›Full record

ArticleFood science of animal resources2025

Comparing the Effects of Different Additives on the Physicochemical and Textural Characteristics of Pork Batter.

Sang Keun Jin, Chul Young Lee, Jung Seok Choi, Jong Hyuk Kim, Sung Sil Moon, Seung Yun Lee

Abstract read
In one paragraph

Article in Food science of animal resources, 2025. 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

6 authors.

Sang Keun JinDivision of Animal Science, Gyeongsang National University, Jinju 52828, Korea.ORCID https://orcid.org/0000-0002-8983-5607
Chul Young LeeDivision of Animal Science, Gyeongsang National University, Jinju 52828, Korea.ORCID https://orcid.org/0000-0002-4735-1268
Jung Seok ChoiDepartment of Animal Science, Chungbuk National University, Cheongju 28644, Korea.ORCID https://orcid.org/0000-0001-8033-0410
Jong Hyuk KimDepartment of Animal Science, Chungbuk National University, Cheongju 28644, Korea.ORCID https://orcid.org/0000-0003-0289-2949
Sung Sil MoonGlobal Communication Division, Sunjin, Seoul 05372, Korea.ORCID https://orcid.org/0000-0003-2734-8931
Seung Yun LeeDivision of Animal Science, Gyeongsang National University, Jinju 52828, Korea.ORCID https://orcid.org/0000-0002-8861-6517

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to compare the effects of different additives on the physicochemical and textural characteristics of pork batter (uncooked emulsion). Different concentrations (0.5%, 1.0%, and 1.5%) of three additives, namely, soy protein isolate (SPI), sodium caseinate (SC), and blood plasma (BP), were added to pork meat and excluded from the control. These additives decreased pH in the following order of magnitude: BP>SC>SPI. The addition of BP to pork emulsion elicited higher CIE L* and hue values, but a lower CIE a* value than SPI or SC. Texture properties did not differ significantly between the control and additive-treated emulsions. Meanwhile, BP caused an increase shear force and gumminess and improved emulsion stability. Overall, BP is a suitable emulsion stabilizer compared with SPI or SC. Further, this study's findings provide insight into the potential use of plasma proteins from slaughter blood as binders in the eco-friendly production of high-quality meat products.

Indexed as

blood plasmaemulsion stabilitypork emulsionsodium caseinatesoy protein isolate

Identifiers

PMID41821704
PMCPMC12965253

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.