Kinetic modeling for high voltage electrical discharge extraction based on discharge energy input

Area of Science:

• Biochemical Engineering
• Food Science and Technology
• Process Optimization

Background:

• Camellia oleifera seed cake is a byproduct with potential for protein extraction.
• High Voltage Electrical Discharge (HVED) extraction is an emerging technique for bioactive compound recovery.
• Optimizing HVED parameters is crucial for efficient protein extraction.

Purpose of the Study:

• To develop a kinetic model for protein extraction from Camellia oleifera seed cake using HVED.
• To investigate the influence of specific energy input on extraction yield and kinetics.
• To propose a predictive model for HVED protein extraction.

Main Methods:

• Development of a kinetic model using discharge energy as the primary variable.
• Linear and nonlinear fitting of experimental data to five different basic functions.
• Validation of a predictive model correlating energy input, material mass, and extraction kinetics.

Main Results:

• Equilibrium yields and mass transfer coefficients were significantly dependent on HVED specific energy input per pulse.
• A power function relationship best described the influence of specific energy input on extraction parameters.
• The proposed predictive model demonstrated a validity with less than 10% deviation.

Conclusions:

• The developed kinetic model accurately describes protein extraction from Camellia oleifera seed cake via HVED.
• Specific energy input is a critical factor for optimizing HVED protein extraction efficiency.
• The predictive model provides a basis for optimizing HVED processes at various scales.