Evidence map›Paper›PMID 41527678›Full record

ArticleJournal of food science2026

Reducing Agents Aid in the Texturization of Pea Protein Isolate During High Moisture Extrusion.

Joshua B Bernin, Preston Watanabe, Brennan Smith, Ryan J Kowalski, Girish M Ganjyal

Abstract read
In one paragraph

Article in Journal of food science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Joshua B BerninSchool of Food Science, Washington State University, Pullman, Washington, USA.
Preston WatanabeSchool of Food Science, Washington State University, Pullman, Washington, USA.
Brennan SmithUSDA-ARS, Food Processing and Sensory Quality Research, New Orleans, Louisiana, USA.
Ryan J KowalskiHills Pet Nutrition, Inc., Topeka, Kansas, USA.
Girish M GanjyalSchool of Food Science, Washington State University, Pullman, Washington, USA.ORCID https://orcid.org/0000-0003-2093-6212

Funding

Good Food InstituteU.S. Department of Agriculture
6 · The paper itself

Abstract

One of the leading hypotheses of plant protein texturization during extrusion is the formation of disulfide bonds during the extrusion process. This study aimed to gain a deeper understanding of the role of disulfide bonds during the texturization of plant protein high moisture meat analogs. Pea protein was blended with three reducing agents, sodium metabisulfite, cysteine, and glutathione, at varying levels of inclusion. The blends were extruded using a co-rotating twin-screw extruder at two different temperature settings of 130°C and 150°C. The feed rate (60 g/min), screw speed (100 rpm), and moisture content (60% w.b.) were kept constant. The extrudates were evaluated for polymeric protein size exclusion, disulfide, and thiol bond quantification, integrity index analysis, and anisotropic index. The reducing agents cleaved disulfide bonds and significantly affected the structure, texture, and integrity index of the extrudates. The reducing agents also had varying effects on the extrudate and the flow of the melt, with the best product obtained with 0.05% glutathione inclusion extruded at 150°C. Although the reducing agents had a relatively small impact on the disulfide bonds, they had a major impact on the physical characteristics of the product and the crosslinking of proteins.

Indexed as

Food HandlingPea ProteinsPisum sativumReducing AgentsCysteineDisulfidesFood, ProcessedGlutathioneMeat SubstitutesSulfitesWaterCysteineDisulfidesGlutathionePea ProteinsReducing Agentssodium metabisulfiteSulfitesWaterextrusionhigh moisture meat analogsproteintexturization

Identifiers

PMID41527678
PMCPMC12797012

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Registered trials

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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.