(2016) Optimization of sonochemical degradation of amoxicillin by sulfate radicals in aqueous solution using response surface methodology (RSM). Journal of Molecular Liquids. pp. 739-744. ISSN 0167-7322
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Abstract
Efficiency in the sonochemical degradation of amoxicillin using sulfate radicals as a function of initial concentration of amoxicillin, Ag2SO4, Na2S2O8 concentration and power of ultrasonic irradiation was studied. A central composite design (CCD) with response surface methodology (RSM) was used to investigate the influence of individual and interaction of operating variables on removal efficiency with the aim of recognizing the optimum operating conditions. Satisfactory prediction based on a quadratic model with very low probabilities (<0.0001) at a confidence level of 95 was obtained for removal efficiency. The quadratic model was best fitted to the experimental data with high correlation coefficients of 0.9682 and 0.9539 for R-2 and R-adj(2), which was quite satisfactory. The obtained optimum conditions for sonochemical degradation efficiency of amoxicillin were obtained as 0.11 mmol/L, 152.3 mmol/L, 1.45 mmol/L and 233 W for AMX, PS, Ag and ultrasound power, respectively; in order to achieve a removal efficiency of >98 in a 60 min reaction time. This study effectively demonstrated the usage and advantages of response surface methodology for the modeling and prediction of process response. It was observed that the sulfate radical-based advanced oxidation process (SR-AOP) is an effective and efficient technology for the mineralization of amoxicillin in aqueous solution. (C) 2016 Elsevier B.V. All rights reserved.
Item Type: | Article |
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Keywords: | amoxicillin persulfate sulfate radicals optimization ccd rsm activated persulfate oxidation central composite design waste-water treatment acid orange 7 photocatalytic degradation contaminated water fentons oxidation photo-fenton sono-fenton removal |
Page Range: | pp. 739-744 |
Journal or Publication Title: | Journal of Molecular Liquids |
Journal Index: | ISI |
Volume: | 222 |
Identification Number: | https://doi.org/10.1016/j.molliq.2016.07.096 |
ISSN: | 0167-7322 |
Depositing User: | مهندس مهدی شریفی |
URI: | http://eprints.mui.ac.ir/id/eprint/2383 |
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