Adjustment of Empirical Models For Adsorptive Systems Used in Wastewater Treatment With the Presence of Azo Dyes

Abstract

Objective: This work evaluated the capability of mathematical models to represent the adsorption process of multicomponent solutions containing the azo dyes Remazol Blue, Remazol Yellow, and Remazol Red, which are used in a wide range of industrial activities such as the textile, paper, plastics, and cosmetics industries.   Objective: This study evaluated the capability of empirical models to represent the adsorption process of multicomponent solutions containing the azo dyes Remazol Blue, Remazol Yellow, and Remazol Red, which are used in a wide range of industrial activities such as the textile, paper, plastics, and cosmetics industries.   Theoretical Framework: Classical adsorption theory was applied, and studies based on the Langmuir, Freundlich, Langmuir-Freundlich, and Redlich-Peterson models were proposed and applied, using regression and optimization techniques to fit the models to the specific situation encountered.   Method: The study involved collecting operational data from bench-scale equipment to isolate the adsorption phenomenon. Once isolated, regression and optimization techniques were applied to fit the model.   Results and Discussion: It was demonstrated that the adsorption models present in the classical literature fit well with the results obtained from the bench-scale tests.   Research Implications: This study aimed to fill a gap between the current state of absorptive system design for effluent treatment, where few processed data are available, and the design of this equipment, which is often based on experience with limited understanding of the system's actual performance.   Originality/Value: The use of adsorptive systems for industrial waste treatment in the textile industry is still underexplored, and there is no comprehensive database that allows for the extraction of the target component with maximum efficiency.