Evidence map›Paper›PMID 42279689›Full record

ArticleFoods (Basel, Switzerland)2026

Optimization of the Microbial-Enzymatic Synergistic Treatment of Cottonseed Protein and Evaluation of the Nutritional Value and Antioxidant Activity of Cottonseed Peptides.

Weidong Niu, Changzhao Jin, Hao Liu, Changjiang Zang, Kailun Yang, Yong Chen, Jiancheng Liu

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 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

7 authors.

Weidong NiuResearch Center for Biological Feed and Animal Gut Health, College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.
Changzhao JinResearch Center for Biological Feed and Animal Gut Health, College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.
Hao LiuResearch Center for Biological Feed and Animal Gut Health, College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.
Changjiang ZangResearch Center for Biological Feed and Animal Gut Health, College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.
Kailun YangResearch Center for Biological Feed and Animal Gut Health, College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.
Yong ChenResearch Center for Biological Feed and Animal Gut Health, College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.
Jiancheng LiuResearch Center for Biological Feed and Animal Gut Health, College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.ORCID 0000-0001-7208-5240

Funding

Science and Technology Department of Xinjiang Uyghur Autonomous Region 2023D04053Science and Technology Department of Xinjiang Uyghur Autonomous Region 2024D01A59Science and Technology Department of Xinjiang Uyghur Autonomous Region 20253150255
6 · The paper itself

Abstract

This study was conducted to optimize the conditions for the synergistic treatment of cottonseed protein with microorganisms and enzymes and to evaluate the nutritional value and antioxidant activity of the resulting cottonseed peptides, with the ultimate goal of improving the nutritional quality of cottonseed protein. In single-factor experiments, laccase, alkaline protease,

Indexed as

antioxidant activitycottonseed peptidecottonseed proteinmicrobial–enzymatic synergyprocess optimizationresponse surface methodology

Identifiers

PMID42279689
PMCPMC13256324

What Socratic 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 Socratic graph.