Evidence map›Paper›PMID 36276544›Full record

ArticleJournal of food science and technology2022

Improving the function of pickle insoluble dietary fiber by coupling enzymatic hydrolysis with HHP treatment.

Ying Yu, Jingjing Zhao, Jianhua Liu, Jinhong Wu, Zhengwu Wang, Zhidong Sun

Open access · bronzeAbstract read
In one paragraph

Article in Journal of food science and technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 29% 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, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Mechanistic insights into theFood chemistry: X · 2025
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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

6 authors at 3 institutions in 1 country.

Ying Yu *Department of Food Science and Engineering, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240 China.
Jingjing Zhao *Department of Food Science and Engineering, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240 China.
Jianhua LiuSchool of materials and chemical engineering, Yibin University, Yibin, 644000 Sichuan China.
Jinhong WuDepartment of Food Science and Engineering, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240 China.
Zhengwu WangDepartment of Food Science and Engineering, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240 China.
Zhidong SunInstitute of Agricultural Processing Research, Ningbo Academy of Agricultural Science, Dehou Street #19, Yinzhou Destrict, Ningbo, 315040 China.
Shanghai Jiao Tong University · CNNingbo Academy of Agricultural Sciences · CNYibin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to improve the function of insoluble dietary fiber (IDF) extracted from pickle, the coupled enzymatic hydrolysis and high hydrostatic pressure treatment method (EHHP) was used to modify its structure. Compared with the unmodified IDF (U-IDF), analysis of the particle size dispersion, bulk density, surface structure monosaccharide composition, microstructure, thermodynamic properties showed that the modified IDF (EHHP-IDF) has a looser and more porous structure, reduced particle size, bulk density, crystal strength and thermal stability, and increased xylose and galactose content. Due to the special looser microstructure, EHHP-IDF has showed the notable capacity of absorption of oil, glucose, nitrite, cholesterol as well as Pb

Indexed as

Enzyme-HHP modificationFunctionInsoluble dietary fiberMustard pickle powder

Identifiers

PMID36276544
PMCPMC9579227
OpenAlexW4295182195

What OpenQuestion holds

Textmetadata
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.