Dissociation of Acid Blue 113 Dye From Aqueous Solutions Using Activated Persulfate by Zero Iron Nanoparticle From Green Synthesis: The Optimization Process With Rsm-Bbd Model: Mineralization and Reaction Kinetic Study Publisher



Pourali P^{1, 2} ; Behzad A² ; Ahmadfazeli A³ ; Mokhtari SA² ; Rashtbari Y² ; Poureshgh Y² Show Affiliations
Source: Biomass Conversion and Biorefinery Published:2024

Abstract

Dyes are one of the major environmental pollutants in the textile industry effluent. The Most of these compounds are toxic, carcinogenic, mutagenic, and biodegradable. In this study, the response surface method was used to determine the removal optimal conditions of acid blue 113 (AB 113) dye in the presence of nanoscale zero-valent iron (nZVI) particles as activators for persulfate (PS) and the mineralization rate of the dye were investigated. The structure and morphology of nZVI nanoparticles were investigated by using FTIR, FESEM, and XRD techniques. The experiments were evaluated based on the Box-Behnken design with five input parameters such as reaction time, pH, catalyst value (nZVI), PS value, and initial concentration of dye at three levels. Finally, the mineralization rate and kinetic studies were investigated to evaluate the oxidation process. The results of physicochemical analysis confirmed the accuracy of nZVI nanoparticle structure. Under optimal conditions, initial concentration of dye was 46 mg/L, pH = 3, reaction time was 50 min, catalyst dose = 0.08 g/L, PS = 0.14 g/L, and the removal rate obtained was 100%. The proposed model (quadratic) was confirmed by high correlation coefficient R2Adj = (0.9724) and R2 = (0.9872). The results illustrated that the reaction kinetic conforms to the pseudo-first-order model (0.9985). The present study showed that the radicals obtained from the activation of persulfate using nZVI nanoparticles have a high efficiency in the removal of AB 113 dye. The results indicated that under optimal conditions, the efficiency of TOC for oxidation of acid AB 113 dye was 79.37%. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022.