Evidence map›Paper›PMID 35206070›Full record

ReviewFoods (Basel, Switzerland)2022

Functional Performance of Plant Proteins.

Kai Kai Ma, Maija Greis, Jiakai Lu, Alissa A Nolden, David Julian McClements, Amanda J Kinchla

Abstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers.

0numbers the graph read from it
0cells of the map it votes in
82citing 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

82 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Physicochemical Properties of Safflower (Foods (Basel, Switzerland) · 2026
    Article
  18. Article
  19. Article
  20. Article

22 more citing papers are in PubMed but not listed here.

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.

Kai Kai MaDepartment of Food Science, University of Massachusetts, Amherst, MA 01003, USA.
Maija GreisDepartment of Food Science, University of Massachusetts, Amherst, MA 01003, USA.
Jiakai LuDepartment of Food Science, University of Massachusetts, Amherst, MA 01003, USA.
Alissa A NoldenDepartment of Food Science, University of Massachusetts, Amherst, MA 01003, USA.ORCID 0000-0001-9525-5580
David Julian McClementsDepartment of Food Science, University of Massachusetts, Amherst, MA 01003, USA.ORCID 0000-0002-9016-1291
Amanda J KinchlaDepartment of Food Science, University of Massachusetts, Amherst, MA 01003, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasingly, consumers are moving towards a more plant-based diet. However, some consumers are avoiding common plant proteins such as soy and gluten due to their potential allergenicity. Therefore, alternative protein sources are being explored as functional ingredients in foods, including pea, chickpea, and other legume proteins. The factors affecting the functional performance of plant proteins are outlined, including cultivars, genotypes, extraction and drying methods, protein level, and preparation methods (commercial versus laboratory). Current methods to characterize protein functionality are highlighted, including water and oil holding capacity, protein solubility, emulsifying, foaming, and gelling properties. We propose a series of analytical tests to better predict plant protein performance in foods. Representative applications are discussed to demonstrate how the functional attributes of plant proteins affect the physicochemical properties of plant-based foods. Increasing the protein content of plant protein ingredients enhances their water and oil holding capacity and foaming stability. Industrially produced plant proteins often have lower solubility and worse functionality than laboratory-produced ones due to protein denaturation and aggregation during commercial isolation processes. To better predict the functional performance of plant proteins, it would be useful to use computer modeling approaches, such as quantitative structural activity relationships (QSAR).

Indexed as

functional propertieslegume proteinmeat analogsplant-based foodsplant proteinsprotein isolatespulse proteins

Identifiers

PMID35206070
PMCPMC8871229

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.