Evidence map›Paper›PMID 39519483›Full record

ArticleNutrients2024

Extraction of Soluble Dietary Fiber from Sunflower Receptacles (

Shengying Zhu, Min Yan, Yanjing Feng, Jiayi Yin, Siyu Jiang, Yulong Guan, Bo Gao

Abstract read
In one paragraph

Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. 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

7 authors.

Shengying ZhuSchool of Life Sciences, Jilin University, Changchun 130012, China.
Min YanSchool of Life Sciences, Jilin University, Changchun 130012, China.
Yanjing FengSchool of Life Sciences, Jilin University, Changchun 130012, China.
Jiayi YinSchool of Life Sciences, Jilin University, Changchun 130012, China.
Siyu JiangSchool of Life Sciences, Jilin University, Changchun 130012, China.
Yulong GuanSchool of Life Sciences, Jilin University, Changchun 130012, China.
Bo GaoSchool of Life Sciences, Jilin University, Changchun 130012, China.ORCID 0000-0001-7714-4860

Funding

This research was funded by Jilin province school co-construction plan special SXGJSF2017-1-1(06)
6 · The paper itself

Abstract

BACKGROUND/

objectivesSunflower receptacles are the main by-product of the processing of

methodsIn this study, several extraction methods of soluble dietary fiber (SDF) from sunflower receptacles were evaluated, and then, the physicochemical structure and functional properties of these SDFs were examined. Finally, a mouse constipation model was established to explore its therapeutic potential for constipation.

resultsThe results showed that the SDF yield of citric acid extraction and enzyme extraction was better than that of hot-water extraction. Structural characterization showed that the three SDF functional groups were similar and amorphous, while the surface distribution of the SDF obtained by the citric acid extraction method (ASDF) had more fine pores. Physicochemical analysis showed that ASDF had the best water-holding capacity, oil-holding capacity, and expansion force. Animal experiments showed that the first black stool defecation time of the model group changed significantly (

conclusionsOur results show that ASDF has good physical and chemical properties and laxative properties and has broad development space in the field of health food.

Indexed as

ConstipationDietary FiberDisease Models, AnimalHelianthusAnimalsDefecationFecesLaxativesMaleMicePlant ExtractsSolubilityDietary FiberLaxativesPlant Extractsanimal experimentextractionlaxativephysicochemical propertiessoluble dietary fibersunflower receptacles

Identifiers

PMID39519483
PMCPMC11547490

What OpenQuestion holds

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LicenceCC BY
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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.