DEVELOPMENT OF IRON-BASED CARBONACEOUS CATALYSTS OBTAINED FROM COFFEE GROUNDS FOR THE DEGRADATION OF ORGANIC DYES VIA THE SONOFENTON PROCESS
Sono-Fenton Process; Water Treatment; Biochar; Coffee Grounds.
The treatment of wastewater has proven to be a critical challenge in recent years. In light of this, the refinement in the development of carbonaceous catalysts obtained from biomass has emerged as a clean and effective solution, particularly for enhancing the efficiency of advanced oxidative processes (AOPs), such as the sono-Fenton process. Therefore, this study aimed to develop and characterize carbonaceous catalysts modified with iron chloride at different pyrolysis temperatures (300°C, 525°C, and 750°C), named CGFe-P300, CGFe-P525, and CGFe-P750, respectively. These materials were produced through the pyrolysis of pre-treated coffee grounds with an FeCl3·6H2O solution to obtain an efficient material for the degradation of organic dyes. The physical and chemical characteristics of the microstructures of these materials were investigated using XRD, FTIR, SEM-EDS, and TGA. X-ray diffraction patterns for the catalysts treated at higher temperatures showed high correspondence with patterns reported for Fe2O3. FTIR analyses revealed that even in different thermal environments, the bands corresponding to the functional groups of the precursor remained largely unchanged. The morphology and presence of iron were confirmed by SEM/EDS in all catalysts, with a notable 18.5% loading in CGFe-P300, essential in catalyzing the Fenton reaction. Thermogravimetric analysis showed greater thermal stability in catalysts treated at higher temperatures, suggesting better resistance to thermal degradation. The effectiveness of these materials in wastewater treatment was evaluated through controlled catalytic efficiency tests, with CGFe-P300 exhibiting the highest reduction in the concentration of model pollutants after 45 minutes of ultrasonic irradiation (methylene blue ≅ 95%; methyl orange ≅ 97%), with minimal efficiency loss under varying operational parameters.