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Optimization of degradation of ciprofloxacin antibiotic and assessment of degradation products using full factorial experimental design by Fenton Homogenous process

Paper Topic: 
Water and Wastewater Treatment
 
Volume: 
 
 

Pages :
324 - 332

Corresponing Author: 
Marjan Salari
 
Authors: 
Rakhshandehroo G.R., Salari M. and Nikoo M.R.
Paper ID: 
gnest_02537
Paper Status: 
Published
Date Paper Accepted: 
03/02/2018
Paper online: 
21/05/2018
Abstract: 

The Pharmaceutical contaminants specialist antibiotics into environment can create problems for both human health and environment. Ciprofloxacin (CIP), an antibiotic Fluoroquinolones group, has recently been used widely for infections treatment. The main purpose of the research was to develop a Full factorial method for degradation of CIP in aqueous solution by Fenton Homogenous process (Fe2+/H2O2). In order to compare the effects of the four parameters considered in the optimization of the oxidative process, a two level Full factorial experimental design (24) was utilized using JMP® software. These parameters were concentration of CIP ( ), concentration of Fe2+ ( ), concentration of H2O2 ( ) and time ( ) at ambient temperature and an acidic pH. In the optimal conditions of the initial concentration of CIP 80 mg/l, Fe2+ concentration of 5 mM, and H2O2 concentration of 51.2 mM degradation efficiency of CIP was 76% within 15 min. Under these conditions, the highest correlation coefficient proved between observed and predicted degradation efficiencies with R2= 0.996 and Adj-R2= 0.968. The reaction intermediates have been identified by LC-MS and BOD5/COD ratio for study biodegradability enhanced from zero to 0.32, showed that the Fenton Homogenous process was agreeable to biological treatment. Based on the results, this may be concluded that Fenton Homogenous process by Full factorial experimental design could be used to degrade CIP from aqueous solutions efficiently.

Keywords: 
Full factorial design, Degradation efficiency, Fenton Homogenous process, ciprofloxacin antibiotic, Optimization