Evidence map›Paper›PMID 39629286›Full record

ArticleFood chemistry: X2024

Effect of γ-irradiation combined with enzymatic modification on the physicochemical properties of defatted rice bran dietary fiber.

Xuyao Wei, Caixia Jiang, Xiaolan Liu, Handong Liu, Juntong Wang, Xiqun Zheng, Zhi Zhang, Hao Hu

Abstract read
In one paragraph

Article in Food chemistry: X, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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  6. 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

8 authors.

Xuyao WeiCollege of Food, Heilongjiang Bayi Agricultural University, Daqing 163319, China.
Caixia JiangCollege of Food, Heilongjiang Bayi Agricultural University, Daqing 163319, China.
Xiaolan LiuCollege of Food and Biological Engineering, Qiqihar University, Qiqihar 161006, China.
Handong LiuCollege of Food, Heilongjiang Bayi Agricultural University, Daqing 163319, China.
Juntong WangCollege of Food, Heilongjiang Bayi Agricultural University, Daqing 163319, China.
Xiqun ZhengCollege of Food, Heilongjiang Bayi Agricultural University, Daqing 163319, China.
Zhi ZhangHeilongjiang Beidahuang Rice Industry Group Co., Ltd, Harbin 150090, China.
Hao HuHeilongjiang Beidahuang Rice Industry Group Co., Ltd, Harbin 150090, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study comprehensively examines how combining γ-irradiation and enzymatic modification influences the microstructure and physicochemical properties of dietary fiber (DF) obtained from defatted rice bran. The resulting yields of soluble dietary fiber (SDF) and insoluble dietary fiber (IDF) were measured at 13.38 ± 0.40 g/100 g and 52.19 ± 0.97 g/100 g, respectively. The modifications led to a diminish in particle size, an increase in specific surface area, and an improvement in water-holding capacity, oil-holding capacity, swelling capacity, glucose adsorption capacity, and cholesterol adsorption capacity. Furthermore, the modified DF exhibited enhanced anti-digestive properties and probiotic activity. Cluster and principal component analysis results revealed that the modified SDF exhibited superior functional properties. Correlation analysis indicated a noticeable relationship between the monosaccharide composition of DF and its functional characteristics. These findings suggest that γ-irradiation combined with enzymatic modification represents a viable approach for enhancing the quality of rice bran DF.

Indexed as

Dietary fiberMicrostructureMultivariate analysisPhysicochemical propertiesRice bran

Identifiers

PMID39629286
PMCPMC11612810

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Registered trials

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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.