Response Surface Methodology in the Photo-Fenton Process for COD Reduction in an Atrazine/Methomyl Mixture

Pilco-Nuñez A.; Rios-Varillas de Oscanoa C.; Cueva-Soto C.; Virú-Vásquez P.; Milla-Figueroa A.; Matamoros de la Cruz J.; Vigo-Roldán A.; Baca-Neglia M.; Bravo-Toledo L.; Cuellar-Condori N.; Oscanoa-Gamarra L. · Applied Sciences (Switzerland) (2026) · DOI: 10.3390/app16020882

Resumen

This study optimized a homogeneous photo-Fenton process for the simultaneous degradation of the emerging pesticides atrazine and methomyl in water using Response Surface Methodology (RSM). A synthetic agricultural effluent containing 2.0 mg L−1 of each pesticide (COD = 103.2 mg O2 L−1; TOC = 26.1 mg C L−1; BOD5 = 45.8 mg O2 L−1) was treated in a recirculating UV–H2O2/Fe2+ reactor. A 23 factorial design with replication and five central points identified the H2O2/Fe2+ ratio and irradiation time as the main factors controlling mineralization, achieving up to 88.9% COD removal in the best screening run. Steepest-ascent experiments were then performed to approach the region of maximum response, followed by a rotatable Central Composite Design (20 runs). The resulting quadratic model explained 98.14% of the COD variance (R2 = 0.9814; adjusted R2 = 0.9646; predicted R2 = 0.8591; CV = 0.2736%) and predicted a maximum COD removal of 94.5% at a volumetric flow rate of 0.466 L min−1, a Fenton ratio of 12.713 mg mg−1, and a treatment time of 71.0 min. Experimental validation under these optimized conditions yielded highly reproducible removals of 94.2 ± 0.04% COD and 81% TOC, confirming the predictive capability of the RSM model and demonstrating a high degree of organic mineralization. The response surfaces revealed that increasing the Fenton ratio enhances oxidation up to an optimum, beyond which hydroxyl-radical self-scavenging slightly decreases efficiency. Overall, the integration of multivariable experimental design and RSM provided a robust framework to maximize photo-Fenton performance with moderate reagent consumption and operating time, consolidating this process as a viable alternative for the mitigation of pesticide-laden agricultural wastewaters.

Instituciones: Universidad Nacional Agraria La Molina; Universidad Nacional de Ingeniería; Universidad Nacional del Callao; Universidad Nacional Santiago Antúnez de Mayolo