Multi-objective optimization of ciprofloxacin antibiotic removal from an aqueous phase with grey taguchi method

M. Salari, G. R. Rakhshandehroo*, M. R. Nikoo

*المؤلف المقابل لهذا العمل

نتاج البحث: المساهمة في مجلةمراجعة النظراء

12 اقتباسات (Scopus)

ملخص

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.

اللغة الأصليةEnglish
الصفحات (من إلى)530-541
عدد الصفحات12
دوريةJournal of Water and Health
مستوى الصوت16
رقم الإصدار4
المعرِّفات الرقمية للأشياء
حالة النشرPublished - أغسطس 2018

ASJC Scopus subject areas

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