Abstract
The release of dye containing effluent is a great threat to the world today. The purpose of this study is to optimize the removal of Reactive Blue 19 (RB19) dye from aqueous solutions using advanced oxidation process (AOP). Magnesium oxide nanoparticles (MgO NPs) and hydrogen peroxide (H2O2) were used as the catalyst and oxidizer, respectively. Central composite design (CCD) based on response surface methodology (RSM) was applied for optimization of the AOP process. The effects of pH (3–7), molar H2O2/MgO NPs ratio (1–3), initial concentration of RB19 (20–80 mg/L), and contact time (30–90 min) were investigated on the oxidation process. The CCD was applied to determine the interactive effects of the process parameters and their optimum conditions. One-way analysis of variance (ANOVA) was applied for statistical data analysis. A quadratic model was generated by the CCD to represent the AOP on RB19 degradation. The experimental values obtained for percentage RB19 decolorization were found to be very close to the predicted response values. Based on the design, optimum conditions of pH 3, contact time of 60 min, RB19 concentration of 80 mg/L and H2O2/MgO NPs molar ratio of 3 were obtained which resulted in 93.77% RB19 removal. High value for the coefficient of determination, R2 (0.912) and adjusted R2 (0.805) showed that the removal of RB19 dye using AOP can be described by the RSM. The ANOVA results showed that the quadratic model developed from the RSM was statistically significant for RB19 decolorization. From the study, it could be concluded that the RSM can be a useful tool for optimization and moderation of the process parameters to maximize RB19 dye removal from aqueous solutions and the advanced H2O2/MgO NPs oxidation process.
Highlights
Adjusted R2 (0.805) showed that the removal of Reactive Blue 19 (RB19) dye using advanced oxidation process (AOP) can be described by the response surface methodology (RSM)
The analysis of variance (ANOVA) results showed that the quadratic model developed from the RSM was statistically significant for RB19 decolorization
The Central composite design (CCD) of RSM was applied to study the interactive effects of the process parameters and the optimum conditions
Summary
Promotion Research Center, Zahedan University of MedicalSciences, Zahedan, IranUniversity, Awka, NigeriaUniversity of Lublin, Konstantynόw 1I Str, 20‐708 Lublin, PolandNowadays, effluents emanating from industrial actions are one of the biggest problems in the world [1]. Promotion Research Center, Zahedan University of Medical. University of Lublin, Konstantynόw 1I Str, 20‐708 Lublin, Poland. Effluents emanating from industrial actions are one of the biggest problems in the world [1]. Various process industries, such as textile, pulp, and paper, due to the consumption of thousands of colored chemicals in their production activities are significant sources of dye pollutants in the environment [2]. Water consumption for production in the textile industry is estimated between 100 and 200 L/kg, which result in very high volumes of wastewater containing acids, alkali, toxic compounds as well as colored materials [3, 4]. Colorants are typical of artificial origin with a complex molecular structure derived from coal tar, which contains hydrocarbons such as benzene, naphthalene, anthracene, toluene, and glycine [5].
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
