Evidence map›Paper›PMID 41729931›Full record

ArticlePloS one2026

Nitrogen-protected thermal induction combined with Microbial Transglutaminase (MTG) cross-linking enhances functional properties and gel structure of Soy Protein Isolate relevant to gel-based feed formulation.

Yong Guo, Ling Qu

Abstract read
In one paragraph

Article in PloS one, 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

2 authors.

Yong GuoSchool of Environmental Engineering, Yellow River Conservancy Technical University, Kaifeng, China, 2 Shenyang Agricultural University, Shenyang, China.ORCID https://orcid.org/0009-0008-9613-4869
Ling QuSchool of Environmental Engineering, Yellow River Conservancy Technical University, Kaifeng, China, 2 Shenyang Agricultural University, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein-based gel matrices are increasingly explored for feed applications requiring soft or semi-solid formulations, but achieving strong gelation along with high water- and oil-holding capacities at low protein concentrations remains challenging. In this study, soy protein isolate (SPI) was modified via nitrogen-protected thermal induction followed by microbial transglutaminase (MTG) cross-linking to enhance its suitability as a gel-feed matrix. Single-factor and orthogonal experimental designs were used to investigate the effects of SPI concentration, MTG dosage, reaction temperature, reaction time, and pH on macroscopic gelation (measured as apparent viscosity), nitrogen solubility index (NSI), water-holding capacity (WHC), oil-holding capacity (OHC), and microstructure (SEM). Under optimized conditions-10% SPI, 0.3% MTG, 50 °C, 3 h, pH 7-gelation increased by approximately 373%, WHC improved by 222%, and OHC increased by 150%, while SEM confirmed the formation of a more regular three-dimensional network compared with native SPI. These results indicate that dual-modified SPI exhibits enhanced functional properties relevant to gel-feed formulations, providing a practical foundation for laboratory-scale process optimization. Further pilot-scale evaluation and biological validation are warranted to assess scalability, processing efficiency, and performance in target animal applications.

Indexed as

Animal FeedNitrogenSoybean ProteinsTransglutaminasesCross-Linking ReagentsFood, ProcessedGelsHydrogen-Ion ConcentrationSolubilityTemperatureViscosityCross-Linking ReagentsGelsNitrogenSoybean ProteinsTransglutaminases

Identifiers

PMID41729931
PMCPMC12928429

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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.