Evidence map›Paper›PMID 41227690›Full record

ArticleFoods (Basel, Switzerland)2025

Effect of Transglutaminase-Mediated Cross-Linking on Physicochemical Properties and Structural Modifications of Rice Dreg Protein.

Xianxin Chen, Xiaoyan Zhu, Fangjian Ning, Songyu Wang, Qiang Zhao

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 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

5 authors.

Xianxin ChenSchool of Basic Medical Sciences, Nanchang Medical College, Nanchang 330052, China.
Xiaoyan ZhuState Key Laboratory of Food Science and Resources, Nanchang University, Nanchang 330047, China.
Fangjian NingCollege of Food and Health, Beijing Technology and Business University, Beijing 100048, China.
Songyu WangState Key Laboratory of Food Science and Resources, Nanchang University, Nanchang 330047, China.
Qiang ZhaoState Key Laboratory of Food Science and Resources, Nanchang University, Nanchang 330047, China.ORCID 0000-0002-9601-0304

Funding

Nanchang University Jiangxi Province Financial Science and Technology Special Project ZBG20230418037
6 · The paper itself

Abstract

The study examined how transglutaminase (TG)-induced cross-linking affects the structural, functional, and in vitro digestibility characteristics of rice dreg protein (RDP). Analysis using SDS-PAGE showed that low-molecular-weight fragments vanished, while high-molecular-weight polymers formed. Additionally, Fourier transform infrared (FTIR) spectroscopy demonstrated a reduction in β-sheet content alongside an elevation in β-turn structures as the cross-linking process became more pronounced, which was associated with a reduction in both total and free sulfhydryl groups. The hydrophobic nature of the surface and the emulsifying properties of cross-linked RDP initially rose but began to decrease when TG concentrations surpassed 10 U/g of protein. Conversely, emulsion stability and water-binding capacity decreased, while oil-binding capacity improved compared to native RDP. Solubility and in vitro digestibility decreased with cross-linking, whereas rheological properties significantly improved with higher TG levels. These findings suggest that controlled TG-mediated cross-linking (e.g., 10 U/g) effectively enhances the functional properties of RDP, making it a promising ingredient for applications in plant-based meats, baked goods, and fortified beverages within the food industry.

Indexed as

cross-linkingin vitro digestibilitypolymersrice dreg proteintransglutaminase

Identifiers

PMID41227690
PMCPMC12610119

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Registered trials

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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.