Evidence map›Paper›PMID 35464029›Full record

ArticleFrontiers in nutrition2022

The Effect of High Pressure Processing on Textural, Bioactive and Digestibility Properties of Cooked Kimberley Large Kabuli Chickpeas.

Prakhar Chatur, Stuart Johnson, Ranil Coorey, Rewati Raman Bhattarai, Sarita Jane Bennett

Open access · goldAbstract read
In one paragraph

Article in Frontiers in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
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  4. Effect of high hydrostatic pressure onFrontiers in nutrition · 2026
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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

5 authors at 1 institution in 1 country.

Prakhar ChaturSchool of Molecular and Life Sciences, Curtin University, Bentley, WA, Australia.
Stuart JohnsonSchool of Molecular and Life Sciences, Curtin University, Bentley, WA, Australia.
Ranil CooreySchool of Molecular and Life Sciences, Curtin University, Bentley, WA, Australia.
Rewati Raman BhattaraiSchool of Molecular and Life Sciences, Curtin University, Bentley, WA, Australia.
Sarita Jane BennettSchool of Molecular and Life Sciences, Curtin University, Bentley, WA, Australia.
Curtin University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High pressure processing is a non-thermal method for preservation of various foods while retaining nutritional value and can be utilized for the development of ready-to-eat products. This original research investigated the effects of high pressure processing for development of a ready-to eat chickpea product using Australian kabuli chickpeas. Three pressure levels (200, 400, and 600 MPA) and two treatment times (1 and 5 min) were selected to provide six distinct samples. When compared to the conventionally cooked chickpeas, high pressure processed chickpeas had a more desirable texture due to decrease in firmness, chewiness, and gumminess. The general nutrient composition and individual mineral content were not affected by high pressure processing, however, a significant increase in the slowly digestible starch from 50.53 to 60.92 g/100 g starch and a concomitant decrease in rapidly digestible starch (11.10-8.73 g/100 g starch) as well as resistant starch (50.53-30.35 g/100 g starch) content was observed. Increased starch digestibility due to high pressure processing was recorded, whereas

Indexed as

antioxidant activitychickpeasdigestibilityhigh pressure processingpolyphenolsproximate compositiontexture

Identifiers

PMID35464029
PMCPMC9023011
OpenAlexW4226021351

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.