Modeling the electrical conductivity value of the model solution

Area of Science:

• Food Science and Technology
• Electrical Engineering
• Chemical Engineering

Background:

• Ohmic heating is an advanced electrical heating technique known for its speed, uniformity, and efficiency.
• Understanding the electrical properties of food matrices is crucial for optimizing ohmic heating processes.

Purpose of the Study:

• To investigate the complex relationships between electrical conductivity (EC), temperature (Temp), pH, and total soluble solid content (TSSC) in fruit and vegetable juices.
• To quantify how EC changes with variations in TSSC and pH under different temperature conditions.

Main Methods:

• Experimental analysis of EC-Temp and EC-pH-Temp relationships.
• Testing various TSSC levels (10-60%) and pH values (2-3.5) in fruit and vegetable juices.
• Statistical analysis to determine the compatibility (R2 values) of the observed relationships.

Main Results:

• Electrical conductivity (EC) decreased as Total Soluble Solid Content (TSSC) increased at constant pH.
• EC decreased with increasing pH at constant TSSC.
• A strong, linear correlation was observed between EC and temperature (Temp), with R2 > 0.97.
• The combined Temp-EC-pH relationship also showed acceptable compatibility (R2 > 0.95).

Conclusions:

• The study provides critical data on the electrical properties of fruit and vegetable juices relevant to ohmic heating.
• Temperature, TSSC, and pH are significant factors influencing the electrical conductivity of these food products.
• The findings support the predictable application of ohmic heating in food processing by understanding these key parameters.