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Chemical and Thermal Treatment for Drying Cassava Tubers: Optimization, Microstructure, and Dehydration Kinetics
Ellyas Alga Nainggolan1,2, Jan Banout1, Klara Urbanova1
1Department of Sustainable Technologies, Faculty of Tropical AgriSciences, Czech University of Life Sciences Prague, Kamýcká 129, 16500 Prague, Czech Republic.
Life (Basel, Switzerland)
|December 23, 2023
Summary
Optimizing cassava pretreatment with citric acid, sodium metabisulfite, and blanching enhances drying efficiency. This study determined optimal conditions and validated the logarithmic model for dehydration kinetics.
Area of Science:
- Food Science and Technology
- Agricultural Engineering
- Chemical Engineering
Background:
- Cassava preservation is crucial for industrial applications due to its perishable nature.
- Optimizing pretreatment and understanding drying kinetics are vital for effective postharvest management.
- Response surface methodology aids in optimizing complex food processing parameters.
Purpose of the Study:
- To optimize cassava pretreatment using response surface methodology.
- To evaluate the impact of chemical and thermal pretreatments on cassava quality attributes.
- To model and analyze the dehydration kinetics of pretreated cassava.
Main Methods:
- Central composite design (CCD) for response surface methodology.
- Investigated sodium metabisulfite (0-4%), citric acid (0-4%), and blanching time (0-4 min).
- Assessed moisture content, whiteness index, activation energy (E), and effective moisture diffusivity (D).
- Applied five drying models to evaluate dehydration kinetics.
Main Results:
- Optimal pretreatment: 1.31% citric acid, 1.03% sodium metabisulfite, 1.01 min blanching.
- Moisture content: 5.82-9.42% db; Whiteness index: 87.16-94.23.
- Effective diffusivity (D): 5.06 × 10⁻⁹ to 6.71 × 10⁻⁹ m²/s; Activation energy (E): 29.65-33.28 kJ/mol.
- Logarithmic model best described dehydration kinetics (R²=0.9859).
Conclusions:
- Optimized pretreatment significantly impacts cassava microstructure and drying characteristics.
- The logarithmic model accurately predicts cassava dehydration under optimal conditions.
- This research provides a framework for efficient cassava processing and preservation.
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