Evidence map›Paper›PMID 40901655›Full record

ArticleFood science & nutrition2025

Optimization of Quinoa-Based Gluten-Free Bread Production Using Microbial Transglutaminase Enzyme and Hydroxypropyl Methyl Cellulose (HPMC) by Response Surface Methodology.

Zahra Ghodosipoor, Omid Zahed, Hossein Fallahzadeh, Neda Mollakhalili-Meybodi, Amene Nematollahi

Abstract read
In one paragraph

Article in Food science & nutrition, 2025. 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.

Zahra GhodosipoorStudent Research Committee, Department of Food Science and Technology, School of Public Health Shahid Sadoughi University of Medical Sciences Yazd Iran.
Omid ZahedResearch Center of Food Hygiene and Safety, Department of Food Science and Technology, School of Public Health Shahid Sadoughi University of Medical Sciences Yazd Iran.
Hossein FallahzadehCenter for Healthcare Data Modeling, Departments of Biostatistics and Epidemiology, School of Public Health Shahid Sadoughi University of Medical Sciences Yazd Iran.
Neda Mollakhalili-MeybodiResearch Center of Food Hygiene and Safety, Department of Food Science and Technology, School of Public Health Shahid Sadoughi University of Medical Sciences Yazd Iran.ORCID https://orcid.org/0000-0001-8473-7517
Amene NematollahiDepartment of Food Safety and Hygiene, School of Health Fasa University of Medical Sciences Fasa Iran.ORCID https://orcid.org/0000-0001-8643-7745

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Celiac is an autoimmune disorder that is triggered by gluten proteins. Bread is the staple foodstuff in which gluten networks play a detrimental role. This study investigated the optimization of transglutaminase (TG) and hydroxypropyl methylcellulose (HPMC) using Response Surface Methodology (RSM) and central composite design (CCD) to simulate the functionality of gluten proteins in quinoa-based gluten-free bread. The concentrations of TG and HPMC varied within the ranges of 0%-1.5% w/w and 0%-2% w/w, respectively. A model was ultimately developed using the CCD and the specified range values for the two factors, with measurements taken for specific volume (SV), moisture content (MC), overall acceptance (OA), and hardness. The study identified optimal values of 0.414 g/100 g for TG and 1.283 g/100 g for HPMC, achieving specific values of 2.320 cm

Indexed as

hydroxypropyl methylcellulosemicrobial transglutaminase enzymequinoatechnological characteristics

Identifiers

PMID40901655
PMCPMC12400160

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.