Evidence map›Paper›PMID 40802717›Full record

ArticlePloS one2025

The influence of soft wheat grain germination on its technological properties.

Darigash Shaimerdenova, Aigul Omaraliyeva, Baltash Tarabayev, Zhanar Chakanova, Damira Iskakova, Gaini Sarbassova, Maigul Kizatova, Sandugash Anuarbekova

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

8 authors.

Darigash ShaimerdenovaDepartment of Science, LLP "Research and Production Enterprise "Innovator", Astana, Kazakhstan.ORCID https://orcid.org/0000-0001-8961-8955
Aigul OmaraliyevaDepartment of Science, LLP "Research and Production Enterprise "Innovator", Astana, Kazakhstan.
Baltash TarabayevTechnology of Food and Processing Industries, Saken Seifullin Kazakh Agrotechnical University, Kazakhstan.
Zhanar ChakanovaDepartment of Science, LLP "Research and Production Enterprise "Innovator", Astana, Kazakhstan.
Damira IskakovaDepartment of Science, LLP "Research and Production Enterprise "Innovator", Astana, Kazakhstan.
Gaini SarbassovaDepartment of Science, LLP "Research and Production Enterprise "Innovator", Astana, Kazakhstan.
Maigul KizatovaDepartment of Pharmaceutical Technology, Kazakh National Medical University, Almaty, Kazakhstan.
Sandugash AnuarbekovaDepartment of Science, LLP "Research and Production Enterprise "Innovator", Astana, Kazakhstan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study evaluates the impact of controlled germination on the technological properties of soft wheat grain (Tәuelsizdik variety) to determine its suitability for flour production. Grain was germinated for 24, 48, and 72 hours and incorporated into commercial flour at varying ratios (5%, 10%, and 15%) with gluten contents of 26%, 28%, and 30%. Technological properties including flour strength (W), water absorption capacity (WAC), and falling number (FN) were assessed using standard analytical methods and optimized through a Box-Behnken design with response surface modeling. Results revealed that increasing germination time significantly reduced gluten content, FN, and dough rheological parameters such as tenacity and elasticity, while increasing extensibility. Optimal technological performance was achieved with 29.8% gluten content, 24 hours of germination, and 8.2% germinated grain, yielding strong flour characteristics: W = 307.6 × 10 ⁻ ⁴ J, WAC = 54.9%, and FN = 180.4 s. The study highlights that, under optimal conditions, germinated soft wheat grain can be effectively utilized in flour production without compromising quality, offering a valuable strategy for processing sprouted grain resulting from unfavorable harvest conditions.

Indexed as

Edible GrainFlourGerminationTriticumGlutensRheologyWaterGlutensWater

Identifiers

PMID40802717
PMCPMC12349700

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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.