Journals / Gazi University Journal of Science / 2025 / Volume: 38 Issue: 4

Freeze drying of medicinal aromatic plants and determination of kinetic models with mathematical modeling

Göknur Kayataş Ongun(ABANT IZZET BAYSAL UNIVERSITY, SEBEN IZZET BAYSAL VOCATIONAL SCHOOL)0000-0003-1811-1975
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Publication Date
2025-12-01
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

These findings provide crucial insights for optimizing freeze-drying processes for these sensitive medicinal plants.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study experimentally and analytically investigated the freeze-drying kinetics of five medicinally important plant species (Viburnum opulus, Berberis crataegina, Ajuga reptans, Trachystemon orientalis, and Petasites hybridus) to determine the most suitable drying models.
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Key Findings & Data:Valuable plants used in traditional and modern medical treatment methods were chosen, and freeze drying, a hygienic drying method, was applied to extend the shelf life of these plants and increase their accessibility.
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Conclusion & Impact:These findings provide crucial insights for optimizing freeze-drying processes for these sensitive medicinal plants.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Freeze drying · Drying kinetics · Diffusion model

Abstract

This study experimentally and analytically investigated the freeze-drying kinetics of five medicinally important plant species (Viburnum opulus, Berberis crataegina, Ajuga reptans, Trachystemon orientalis, and Petasites hybridus) to determine the most suitable drying models. Valuable plants used in traditional and modern medical treatment methods were chosen, and freeze drying, a hygienic drying method, was applied to extend the shelf life of these plants and increase their accessibility. Experimental drying data were analyzed using MATLAB to evaluate eight common kinetic models based on RMSE, X², and R² values. The lowest chi-square (X2) values ranged from 6.79x10-6 to 1.055x10-4, and RMSE values ranged from 0.002607 to 0.01027, with high coefficients (R2 ≥ 0.9993). The Diffusion model was identified as the best fit for V. opulus, A. reptans, and P. hybridus, while the Wang and Sing model suited B. crataegina, and the Page model best described T. orientalis. These findings provide crucial insights for optimizing freeze-drying processes for these sensitive medicinal plants.

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Cite This Article

Geçten, H., Dağdeviren, A., Acar, B., Ongun, G. K., Özkaymak, M. (2025). Freeze drying of medicinal aromatic plants and determination of kinetic models with mathematical modeling. Gazi University Journal of Science, Volume: 38 Issue: 4. https://doi.org/10.35378/gujs.1692128

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