Evidence map›Paper›PMID 38998482›Full record

ArticleFoods (Basel, Switzerland)2024

Effects of Physicochemical and Biological Treatment on Structure, Functional and Prebiotic Properties of Dietary Fiber from Corn Straw.

Yijie Qin, Xinyao Fan, Ya Gao, Ping Wang, Juan Chang, Chaoqi Liu, Lijun Wang, Qingqiang Yin

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Synthetic and systems biotechnology · 2027
    Review
  2. Article
  3. 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

8 authors.

Yijie QinCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.
Xinyao FanCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.
Ya GaoCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.
Ping WangCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.
Juan ChangCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.
Chaoqi LiuCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.
Lijun WangCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.
Qingqiang YinCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.

Funding

Henan Provincial Science and Technology Research Project 232102110103Henan Provincial Science and Technology Research Project 232102111040The research was financially supported by National Science Foundation of China 31702148Xinxiang Key Scientific and Technological Projects 22ZD011
6 · The paper itself

Abstract

Corn straw is one kind of agricultural by-product containing 70-80% insoluble dietary fiber (IDF). In order to develop corn straw dietary fiber, this study was conducted to increase soluble dietary fiber (SDF) yield and improve the structure, functional and prebiotic properties of IDF and SDF from corn straw treated by alkali oxidation treatment, enzymatic hydrolysis, microbial fermentation and the combination of these methods. The results demonstrated that the yield of SDF was significantly increased from 2.64% to 17.15% after corn straw was treated by alkali oxidation treatment +

Indexed as

biological treatmentcorn strawdietary fiberfunctional propertyphysicochemical treatmentprebiotic property

Identifiers

PMID38998482
PMCPMC11241159

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.