Geometry-aware Analysis of Wheat Grain Hydration Prior to Milling

This study presents an analysis of the geometry and short-time hydration of two wheat varieties widely cultivated in the Fergana Valley of Uzbekistan "Asr" and "Alekseevich". Linear dimensions (length, width, thickness) were measured with a digital caliper (precision 0.001 mm); microstructure was examined by optical microscopy; and surface/volume characteristics were reconstructed from 3D scans. Hydration kinetics were assessed gravimetrically at 5 min intervals up to 30 min under cold (20–25 °C) and warm (40–50 °C) conditions. "Asr" grains were found to be larger across all axes (length 5.6 ± 0.3 mm; width 2.45 ± 0.2 mm; thickness 2.05 ± 0.2 mm) than "Alekseevich" (5.3 ± 0.2, 2.2 ± 0.2, 1.9 ± 0.2 mm; p < 0.05). Mass gain at 30 min was higher in warm compared with cold conditions (9.1% vs. 4.2% for Asr; 8.5% vs. 3.9% for Alekseevich). Box-plot analysis confirmed significantly faster water uptake for "Asr" under both regimes. An ellipsoidal multi-layer diffusion framework was applied to link grain geometry with predicted moisture-penetration times (t_50,t_95). The results demonstrate that geometry-aware conditioning can improve millability and flour quality while reducing repeated wetting–drying cycles.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-03
DOI
https://doi.org/10.5281/zenodo.17258845
Primary Topic
Historical and Archaeological Studies
Type
article
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article

Geometry-aware Analysis of Wheat Grain Hydration Prior to Milling

Zenodo (CERN European Organization for Nuclear Research)
Historical and Archaeological Studies
article

Geometry-aware Analysis of Wheat Grain Hydration Prior to Milling

article en

Abstract

This study presents an analysis of the geometry and short-time hydration of two wheat varieties widely cultivated in the Fergana Valley of Uzbekistan "Asr" and "Alekseevich". Linear dimensions (length, width, thickness) were measured with a digital caliper (precision 0.001 mm); microstructure was examined by optical microscopy; and surface/volume characteristics were reconstructed from 3D scans. Hydration kinetics were assessed gravimetrically at 5 min intervals up to 30 min under cold (20–25 °C) and warm (40–50 °C) conditions. "Asr" grains were found to be larger across all axes (length 5.6 ± 0.3 mm; width 2.45 ± 0.2 mm; thickness 2.05 ± 0.2 mm) than "Alekseevich" (5.3 ± 0.2, 2.2 ± 0.2, 1.9 ± 0.2 mm; p < 0.05). Mass gain at 30 min was higher in warm compared with cold conditions (9.1% vs. 4.2% for Asr; 8.5% vs. 3.9% for Alekseevich). Box-plot analysis confirmed significantly faster water uptake for "Asr" under both regimes. An ellipsoidal multi-layer diffusion framework was applied to link grain geometry with predicted moisture-penetration times (t_50,t_95). The results demonstrate that geometry-aware conditioning can improve millability and flour quality while reducing repeated wetting–drying cycles.

Zenodo (CERN European Organization for Nuclear Research)
Kurgan State University (RU), Ferghana Polytechnical Institute (UZ), Ferghana State University (UZ), M.Auezov South Kazakhstan State University (KZ)
Openalex Percentile: Top 43%
Historical and Archaeological Studies
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