Development of a Multicomponent Adsorption Isotherm Equation and Its Validation by Modeling

Area of Science:

• Environmental Science
• Chemical Engineering
• Materials Science

Background:

• Adsorption isotherm models are crucial for understanding contaminant removal.
• Existing models inadequately address multicomponent adsorption, common in natural systems.
• Limited research exists on accurate multicomponent adsorption isotherm modeling.

Purpose of the Study:

• To introduce a novel multicomponent adsorption isotherm model: the Jeppu Amrutha Manipal Multicomponent (JAMM) isotherm.
• To address the research gap in modeling competitive adsorption of multiple contaminants.
• To provide a versatile and accurate tool for predicting multicomponent adsorption behavior.

Main Methods:

• Developed the JAMM isotherm using experimental data for arsenic and fluoride adsorption.
• Validated the JAMM isotherm with case studies involving cadmium/zinc and copper/chromium competitive adsorption.
• Incorporated single-component parameters, mole fraction, interaction coefficient, and heterogeneity index into the model.

Main Results:

• The JAMM isotherm demonstrated high accuracy in predicting multicomponent adsorption across various competition levels.
• Validation showed an average normalized absolute percentage error of 6.05% and an average R² of 0.86.
• The model effectively utilizes single-component parameters to simulate multicomponent systems.

Conclusions:

• The JAMM isotherm offers a robust, versatile, and reliable framework for multicomponent adsorption modeling.
• Its ability to leverage single-component data simplifies complex adsorption predictions.
• The JAMM isotherm is a valuable tool for chemical engineering, environmental engineering, and materials science.