Evidence map›Paper›PMID 39641039›Full record

ArticleHeliyon2024

Techno-functional, physicochemical and thermal characteristics of black chickpeas aquafaba under ultrasound pre-processing.

Fatemeh Roosta, Abdollah Hematian Sourki

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Fatemeh RoostaDepartment of Food Science and Technology, Faculty of Agriculture, Jahrom University, PO Box: 74135-111, Jahrom, Iran.
Abdollah Hematian SourkiDepartment of Food Science and Technology, Faculty of Agriculture, Jahrom University, PO Box: 74135-111, Jahrom, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aquafaba is the liquid that remains from the cooking of beans in the canning industry, generally discarded as wastewater. This research aimed to optimize ultrasound pretreatment to enhance this by-product and introduce it as a high-added value product (known as liquid gold) in the food industry. The results showed that with the increase in the sonication time and amplitude, the extraction efficiency, soluble protein content, the density, and dry matter content of black chickpeas aquafaba increased significantly (p < 0.05). The results also demonstrated that foaming ability (in short ultrasonication times) and foam stability significantly increased with higher amplitude. The results of numerical optimization showed that ultrasound pre-treatment for 30 min with an amplitude of 72 % on black chickpeas before the cooking process created the best conditions for aquafaba extraction. Under these optimized conditions, the results yielded the highest values so that extraction efficiency, protein content, density, dry matter, foaming ability, and foam stability were 212.07 %, 3546.7 mg/kg, 1.038 g/mL, 4.76 %, 243.57 %, and 44.50 % respectively. Thermogravimetric and FT-IR analysis showed that the pre-sonication process not only makes aquafaba thermally stable, but also does not cause any structural changes in its chemical components. According to the favorable physicochemical characteristics of aquafaba, this product can benefit the food industry. It can be a material with high added value, profitable for the canning industry.

Indexed as

AquafabaBlack chickpeasFoamingLiquid goldSoluble proteinThermogravimetric

Identifiers

PMID39641039
PMCPMC11617878

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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.