Modeling Water Absorption of Intact Bulgur During Tempering at Different Temperatures and Moisture Levels

This study investigated the effects of varying temperatures and initial moisture contents on the water absorption kinetics of bulgur during tempering. Three mathematical models-Peleg, modified page, and logarithmic- were fitted to the experimental data to describe moisture absorption behavior, and their predictive performance was evaluated. The best-fitting model was Peleg ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:msup><mml:mi>R</mml:mi> <mml:mn>2</mml:mn></mml:msup> <mml:annotation>${R^2}$</mml:annotation></mml:semantics> </mml:math> = 0.968-0.995), followed by the modified page ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:msup><mml:mi>R</mml:mi> <mml:mn>2</mml:mn></mml:msup> <mml:annotation>${R^2}$</mml:annotation></mml:semantics> </mml:math> = 0.9510-0.9914) and logarithmic ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:msup><mml:mi>R</mml:mi> <mml:mn>2</mml:mn></mml:msup> <mml:annotation>${R^2}$</mml:annotation></mml:semantics> </mml:math> = 0.9407-0.9943) models. Hydration kinetics analysis revealed a significant change (p ≤ 0.05) in moisture absorption rates at the onset of tempering, coinciding with the opening of capillary channels within the wheat structure. As tempering progressed, moisture content increased until equilibrium was reached, with higher temperatures (25-45°C) accelerating mass transfer. Experiments were conducted at initial moisture contents ranging from 15% to 27%, and at each level, higher temperatures were associated with higher effective moisture diffusivities ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:msub><mml:mi>D</mml:mi> <mml:mrow><mml:mi>e</mml:mi> <mml:mi>f</mml:mi> <mml:mi>f</mml:mi></mml:mrow> </mml:msub> <mml:annotation>${D_{eff}}$</mml:annotation></mml:semantics> </mml:math> ) ranging from 1.04 × 10<sup>-9</sup> to 1.93 × 10<sup>-9</sup> m<sup>2</sup>/s, as determined from the slope of the linearized moisture ratio (MR)-time relationship based on Fick's second law of diffusion. The activation energy ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:msub><mml:mi>E</mml:mi> <mml:mi>a</mml:mi></mml:msub> <mml:annotation>${E_a}$</mml:annotation></mml:semantics> </mml:math> ) for bulgur hydration ranged from 10.41 to 21.13 kJ mol<sup>-1</sup>, decreasing with increasing moisture contents, suggesting greater sensitivity to temperature changes at lower initial moisture levels. These results demonstrate the effectiveness of mathematical modeling as a tool for optimizing tempering conditions, enhancing hydration efficiency, and improving process control in bulgur production.

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Journal
Journal of Food Science
Published
2025-11-01
DOI
https://doi.org/10.1111/1750-3841.70665
Primary Topic
Food Drying and Modeling
Type
article
Field-Weighted Citation Impact
0.00

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article

Modeling Water Absorption of Intact Bulgur During Tempering at Different Temperatures and Moisture Levels

Nüzhet Türker, Betül Bay Yılmaz, Mustafa Bayram
Journal of Food Science
Food Drying and Modeling
article

Modeling Water Absorption of Intact Bulgur During Tempering at Different Temperatures and Moisture Levels

Nüzhet Türker, Betül Bay Yılmaz, Mustafa Bayram
article en

Abstract

This study investigated the effects of varying temperatures and initial moisture contents on the water absorption kinetics of bulgur during tempering. Three mathematical models-Peleg, modified page, and logarithmic- were fitted to the experimental data to describe moisture absorption behavior, and their predictive performance was evaluated. The best-fitting model was Peleg ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:msup><mml:mi>R</mml:mi> <mml:mn>2</mml:mn></mml:msup> <mml:annotation>${R^2}$</mml:annotation></mml:semantics> </mml:math> = 0.968-0.995), followed by the modified page ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:msup><mml:mi>R</mml:mi> <mml:mn>2</mml:mn></mml:msup> <mml:annotation>${R^2}$</mml:annotation></mml:semantics> </mml:math> = 0.9510-0.9914) and logarithmic ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:msup><mml:mi>R</mml:mi> <mml:mn>2</mml:mn></mml:msup> <mml:annotation>${R^2}$</mml:annotation></mml:semantics> </mml:math> = 0.9407-0.9943) models. Hydration kinetics analysis revealed a significant change (p ≤ 0.05) in moisture absorption rates at the onset of tempering, coinciding with the opening of capillary channels within the wheat structure. As tempering progressed, moisture content increased until equilibrium was reached, with higher temperatures (25-45°C) accelerating mass transfer. Experiments were conducted at initial moisture contents ranging from 15% to 27%, and at each level, higher temperatures were associated with higher effective moisture diffusivities ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:msub><mml:mi>D</mml:mi> <mml:mrow><mml:mi>e</mml:mi> <mml:mi>f</mml:mi> <mml:mi>f</mml:mi></mml:mrow> </mml:msub> <mml:annotation>${D_{eff}}$</mml:annotation></mml:semantics> </mml:math> ) ranging from 1.04 × 10<sup>-9</sup> to 1.93 × 10<sup>-9</sup> m<sup>2</sup>/s, as determined from the slope of the linearized moisture ratio (MR)-time relationship based on Fick's second law of diffusion. The activation energy ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:msub><mml:mi>E</mml:mi> <mml:mi>a</mml:mi></mml:msub> <mml:annotation>${E_a}$</mml:annotation></mml:semantics> </mml:math> ) for bulgur hydration ranged from 10.41 to 21.13 kJ mol<sup>-1</sup>, decreasing with increasing moisture contents, suggesting greater sensitivity to temperature changes at lower initial moisture levels. These results demonstrate the effectiveness of mathematical modeling as a tool for optimizing tempering conditions, enhancing hydration efficiency, and improving process control in bulgur production.

Journal of Food ScienceVol. 90(11)
Yıldız Technical University (TR), Mersin Üniversitesi (TR), Gaziantep University (TR)
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu
Openalex Percentile: Top 59%
Food Drying and Modeling
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