TY - JOUR
T1 - Multi-objective optimization of ciprofloxacin antibiotic removal from an aqueous phase with grey taguchi method
AU - Salari, M.
AU - Rakhshandehroo, G. R.
AU - Nikoo, M. R.
N1 - Funding Information:
The authors are grateful to the management and the authorities of Shiraz University for providing the necessary facilities for this research. Also, the authors gratefully acknowledge Temad Pharmaceutical Company, Tehran, Iran, for providing CIP samples.
Publisher Copyright:
© IWA Publishing 2018.
PY - 2018/8
Y1 - 2018/8
N2 - Optimization methods are used to study and survey the optimal values for input factors and effect of optimized parameters on response variables. In this study, the effect of different factors on ciprofloxacin (CIP) removal of water soluble was studied. In this regard, a multi-objective optimization was performed utilizing the Taguchi method based on a grey relational analysis. Optimum levels of factors were determined to optimize three responses simultaneously with grey Taguchi. Meanwhile, grey relational analysis was applied to model and optimize three target responses, namely, CIP removal, chemical oxygen demand (COD) removal, and sludge to iron ratio. Multi-objective optimization results obtained based on grey relational analysis showed that the optimal value of the input factors were CIP concentration of 100 mg/L, H2O2 concentration of 100 mM, Fe(II) concentration of 10 mM, pH of 3, and a reaction time of 15 min. To confirm the results, the values obtained through a confirmation test were examined. Multi-objective optimization results from process factors were determined by analysis of variance (ANOVA) analysis and grey Taguchi method. Based on ANOVA analysis for the grey relational grade, Fe(II) concentration and H2O2 concentration were found to be the most influencing factors.
AB - Optimization methods are used to study and survey the optimal values for input factors and effect of optimized parameters on response variables. In this study, the effect of different factors on ciprofloxacin (CIP) removal of water soluble was studied. In this regard, a multi-objective optimization was performed utilizing the Taguchi method based on a grey relational analysis. Optimum levels of factors were determined to optimize three responses simultaneously with grey Taguchi. Meanwhile, grey relational analysis was applied to model and optimize three target responses, namely, CIP removal, chemical oxygen demand (COD) removal, and sludge to iron ratio. Multi-objective optimization results obtained based on grey relational analysis showed that the optimal value of the input factors were CIP concentration of 100 mg/L, H2O2 concentration of 100 mM, Fe(II) concentration of 10 mM, pH of 3, and a reaction time of 15 min. To confirm the results, the values obtained through a confirmation test were examined. Multi-objective optimization results from process factors were determined by analysis of variance (ANOVA) analysis and grey Taguchi method. Based on ANOVA analysis for the grey relational grade, Fe(II) concentration and H2O2 concentration were found to be the most influencing factors.
KW - Ciprofloxacin
KW - Grey relational analysis
KW - Homogeneous Fenton process
KW - Multi-objective optimization
KW - Taguchi method
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U2 - 10.2166/wh.2018.247
DO - 10.2166/wh.2018.247
M3 - Article
C2 - 30067236
AN - SCOPUS:85054460453
SN - 1477-8920
VL - 16
SP - 530
EP - 541
JO - Journal of Water and Health
JF - Journal of Water and Health
IS - 4
ER -
