Evidence map›Paper›PMID 38231836›Full record

ArticleFoods (Basel, Switzerland)2023

Preparation of Glutamine-Enriched Fermented Feed from Corn Gluten Meal and Its Functionality Evaluation.

Lei Fan, Xiaolan Liu, Yongping Deng, Xiqun Zheng

Open access · goldAbstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
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

4 authors at 3 institutions in 1 country.

Lei FanCollege of Food Engineering, Harbin University of Commerce, Harbin 150076, China.
Xiaolan LiuCollege of Food Engineering, Harbin University of Commerce, Harbin 150076, China.
Yongping DengKey Laboratory of Corn Deep Processing Theory and Technology of Heilongjiang Province, College of Food and Bioengineering, Qiqihar University, Qiqihar 161006, China.
Xiqun ZhengCollege of Food, Heilongjiang Bayi Agricultural University, Daqing 163319, China.
Qiqihar University · CNHarbin University of Commerce · CNHeilongjiang Bayi Agricultural University · CN

Funding

Double First-Class Project for Collaborative Innovation Achievements in Disciplines Construction in Heilongjiang Province LJGXCG2022-122, LJGXCG2023-055Heilongjiang Province Key Research and Development Projects 2020ZX06B01Talent Foundation of the Central Government Supporting Local Universities 2020GSP08the National Key Research and Development Plan of China 2021YFD2100900Theory and Technology of Corn Deep Processing in Heilongjiang Province SPKF202015
6 · The paper itself

Abstract

China faces a persistent deficiency in feed protein resources. Enhancing the utilization efficiency of indigenous feed protein resources emerges as a viable strategy to alleviate the current deficit in protein feed supply. Corn gluten meal (CGM), characterized by a high proportion of crude protein and glutamine, is predominantly employed in animal feed. Nonetheless, the water-insolubility of CGM protein hampers its protein bioavailability when utilized as feed material. The aim of this study was to augment protein bioavailability, liberate glutamine peptides from CGM, and produce glutamine-enriched CGM fermented feed. We executed a co-fermentation protocol using

Indexed as

by-productglutamine peptidegut microbiotaintestinal health

Identifiers

PMID38231836
PMCPMC10706031
OpenAlexW4389245636

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.