Evidence map›Paper›PMID 38647572›Full record

ReviewBioresources and bioprocessing2022

Biotransformation technology and high-value application of rapeseed meal: a review.

Zhengfeng Yang, Zunxi Huang, Lijuan Cao

Abstract readReview
In one paragraph

Review in Bioresources and bioprocessing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Genome-Wide Identification ofPlants (Basel, Switzerland) · 2026
    Article
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  7. Review
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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

3 authors.

Zhengfeng YangSchool of Energy and Environmental Science, Yunnan Normal University, Kunming, 650500, People's Republic of China.
Zunxi HuangEngineering Research Center of Sustainable Development and Utilization of Biomass Energy, Ministry of Education, Yunnan Normal University, Kunming, 650500, People's Republic of China. huangzunxi@163.com.ORCID http://orcid.org/0000-0002-7998-3673
Lijuan CaoCollege of Life Sciences, Yunnan Normal University, Yunnan Normal University, No. 768 Juxian Street, Chenggong, Kunming, Yunnan, 650500, People's Republic of China.

Funding

Innovative Research Group Project of the National Natural Science Foundation of China 31960131Innovative Research Group Project of the National Natural Science Foundation of China 32160217Yunnan Science and Technology Planning Project 202107AC110002
6 · The paper itself

Abstract

Rapeseed meal (RSM) is an agro-industrial residue of increased functional biological value that contains high-quality proteins for animal feed. Due to the presence of antinutritional factors and immature development technology, RSM is currently used as a limited feed additive and in other relatively low-value applications. With increasing emphasis on green and sustainable industrial development and the added value of agro-industrial residues, considerable attention has been directed to the removal of antinutritional factors from RSM using high-efficiency, environment-friendly, and cost-effective biotechnology. Similarly, the high-value biotransformations of RSM have been the focus of research programmes to improve utilization rate. In this review, we introduce the sources, the nutrient and antinutrient content of RSM, and emphasize improvements on RSM feed quality using biological methods and its biotransformation applications.

Indexed as

Antinutritional factorsBiotechnologyHigh-value biotransformationRapeseed meal

Identifiers

PMID38647572
PMCPMC10991624

What OpenQuestion holds

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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.