Evidence map›Paper›PMID 41283327›Full record

ArticleBiotech (Basel (Switzerland))2025

Synergistic Effect of

Shuqi Chen, Haoran Shi, Peng Zhao, Zengqiang Ma, Xiaolong Li, Xiangyu Wang, Feiyan Xue

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biotech (Basel (Switzerland)), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Shuqi ChenKey Laboratory for Northern Urban Agriculture of Ministry of Agriculture and Rural Affairs, College of Bioscience and Resources Environment, Beijing University of Agriculture, Beijing 102206, China.
Haoran ShiKey Laboratory for Northern Urban Agriculture of Ministry of Agriculture and Rural Affairs, College of Bioscience and Resources Environment, Beijing University of Agriculture, Beijing 102206, China.
Peng ZhaoKey Laboratory for Northern Urban Agriculture of Ministry of Agriculture and Rural Affairs, College of Bioscience and Resources Environment, Beijing University of Agriculture, Beijing 102206, China.
Zengqiang MaNutrition and Health Research Institute, COFCO Corporation, Beijing 102209, China.
Xiaolong LiNutrition and Health Research Institute, COFCO Corporation, Beijing 102209, China.
Xiangyu WangNutrition and Health Research Institute, COFCO Corporation, Beijing 102209, China.
Feiyan XueKey Laboratory for Northern Urban Agriculture of Ministry of Agriculture and Rural Affairs, College of Bioscience and Resources Environment, Beijing University of Agriculture, Beijing 102206, China.ORCID 0000-0003-3058-2278

Funding

Vice President of Science and Technology in Changping District, Beijing 202305004023
6 · The paper itself

Abstract

backgroundSunflower meal (SFM), a promising feed material, is constrained by its high content of crude fiber (CF) and chlorogenic acid (CGA).

methodsThis study utilized a synergistic solid-state fermentation process involving the

resultsThe synergistic treatment notably reduced CF by 12.7% and CGA by 99.77%, while simultaneously increasing acid-soluble protein and reducing sugar by 111.3% and 283.1%, respectively. Positive impacts on its physical structure, characterized by a looser network with visible pores, and on its microbial community, evidenced by an enriched abundance of fungal species such as

conclusionsThese results demonstrate that microbial-enzymatic synergy effectively enhances SFM's nutritional profile.

Indexed as

Bacillus subtilissolid-state fermentationsunflower mealβ-glucanase

Identifiers

PMID41283327
PMCPMC12641796

What OpenQuestion holds

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LicenceCC BY
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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.