Evidence map›Paper›PMID 42829562›Full record

ReviewFood science & nutrition2026

Review on Gelling and Foaming Agents in Food: Mechanism and Applications.

Messenbet Geremew Kassa, Desye Alemu Teferi, Neela Satheesh, Aynadis Molla Asemu

Abstract readReview
In one paragraph

Review in Food science & nutrition, 2026. 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

4 authors.

Messenbet Geremew KassaDepartment of Food Science and Post-Harvest Technology Injibara University Injibara Ethiopia.ORCID https://orcid.org/0000-0002-9049-5742
Desye Alemu TeferiDepartment of Food Science and Post-Harvest Technology Injibara University Injibara Ethiopia.ORCID https://orcid.org/0009-0006-7493-1811
Neela SatheeshDepartment of Food Science and Technology, School of Health Sciences Amity University Mohali Punjab India.ORCID https://orcid.org/0000-0002-6474-2594
Aynadis Molla AsemuFaculty of Chemical and Food Engineering, Bahir Dar Institute of Technology Bahir Dar University Bahir Dar Ethiopia.ORCID https://orcid.org/0000-0002-7284-286X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Food texture and structural stability are critical determinants of consumer acceptance and overall product quality in the food industry. This review provides a comprehensive synthesis of gelling and foaming mechanisms, focusing on traditional hydrocolloids (pectin and gelatin) alongside emerging plant-based alternatives, such as aquafaba (chickpea cooking water). For gelling systems, we examine the molecular networks driving matrix formation, highlighting how processing variables and natural source variability complicate texture control in clean-label formulations. For foaming systems, the mechanisms of surface tension reduction, gas incorporation, and interfacial stabilization are analyzed against critical environmental factors, including pH, temperature, and surfactant concentration. The key findings underscore a growing industrial shift toward sustainable, plant-derived texturizers that mimic the viscoelastic properties of animal proteins. Ultimately, this review bridges the gap between fundamental macromolecular behavior and practical applications, offering actionable insights for food scientists aiming to innovate clean-label formulations, optimize structural stability, and enhance the sensory profiles of aerated and gelled matrices.

Indexed as

egg whitefoam capacityfood texturegellingpectin

Identifiers

PMID42829562
PMCPMC13633557

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.