Evidence map›Paper›PMID 37431034›Full record

ArticleFoods (Basel, Switzerland)2022

Mixed-Strain Fermentation Conditions Screening of Polypeptides from Rapeseed Meal and the Microbial Diversity Analysis by High-Throughput Sequencing.

Wei Huang, Haining Xu, Jiayin Pan, Chunhua Dai, Benjamin Kumah Mintah, Mokhtar Dabbour, Rong Zhou, Ronghai He, Haile Ma

Open access · goldAbstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.9field-weighted citation impact, top 15% of its field
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

12 citing papers in PubMed, 16 citations in OpenAlex.

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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

9 authors at 4 institutions in 3 countries.

Wei HuangSchool of Food and Biological Engineering, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, China.
Haining XuSchool of Food and Biological Engineering, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, China.
Jiayin PanSchool of Food and Biological Engineering, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, China.
Chunhua DaiSchool of Food and Biological Engineering, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, China.
Benjamin Kumah MintahCSIR-Food Research Institute, Accra P.O. Box M20, Ghana.
Mokhtar DabbourDepartment of Agricultural and Biosystems Engineering, Faculty of Agriculture, Benha University, Moshtohor P.O. Box 13736, Egypt.ORCID 0000-0001-6109-9065
Rong ZhouFishery Machinery and Instrument Research Institute, Chinese Academy of Fishery Sciences, 63 Chifeng Road, Yangpu District, Shanghai 200092, China.
Ronghai HeSchool of Food and Biological Engineering, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, China.
Haile MaSchool of Food and Biological Engineering, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, China.
Jiangsu University · CNBenha University · EGChinese Academy of Fishery Sciences · CNInstitute for Scientific and Technological Information · GH

Funding

Postgraduate Research & Practice Innovation Program of Jiangsu Province KYCX22_3701Primary Research & Development Plan of Jiangsu Province BE2020329, BE2021337
6 · The paper itself

Abstract

Conventional fermentation of rapeseed meal has disadvantages such as sterilization requirement, high energy consumption and low efficiency, as well as poor action of single bacteria. To overcome these drawbacks, mixed-strain fermentation of unsterilized rapeseed meal was investigated. Mixed-fermentation of unsterilized rapeseed meal (ratio of solid-liquid 1:1.2 g/mL) using

Indexed as

med-strain fermentationmicrobial diversitypolypeptidereseed meal

Identifiers

PMID37431034
PMCPMC9601322
OpenAlexW4306918640

What OpenQuestion 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 OpenQuestion graph.