Volume 5, Issue 1 (11-2017)                   J Environ Health Eng 2017, 5(1): 83-98 | Back to browse issues page


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hossein panahi A, Kamani H, sancholi F, Havangi1 M. Efficiency Evalution Ultrasonic/Fenton Process in Removal of Antibiotic Penicillin G from Aquatic Solution by Response Surface Methodology . J Environ Health Eng 2017; 5 (1) :83-98
URL: http://jehe.abzums.ac.ir/article-1-456-en.html
MSc in Environmental Health, Student Research Committee, Zahedan University of Medical Sciences, Zahedan, Iran
Abstract:   (3481 Views)
Background and Purpose: Extreme use of antibiotics and discharging them to the environment lead to serious consequences. Antibiotic Penicillin G a common antibiotic due to high production and are used in the treatment of infectious diseases  health officials give much attention .The aim of the present study was to Remove antibiotic Penicillin G in aquatic environments with the ultrasonic / Fenton by response surface methodology.
Materials and Methods: We evaluated the effect of independent variables including solution pH, H2O2, Fe3+, reaction time and the initial concentration of the antibiotics Penicillin G on response performance (removal efficiency Penicillin G) with response to surface methodology based on Central Composite Design  (CCD). ANOVA was applied to analyze the responses. All experiments were performed in the presence US frequency 35(kHz).  Chemical Oxygen Demand was selected to follow the performance for Penicillin G antibiotics removal of the ultrasonic/ Fenton process.
Results: Penicillin G removal in proposed model was statistically significant at 95% confidence level. The model had insignificant lack-of-fit at 95% confidence level (P=0.8040). Penicillin G removal efficiency was dependent on PH, H2O2, Fe3+ and reaction time. The removal efficiency of Penicillin G was 94.74% at optimum condition (3, 43mg/l, 0.007mg/l and 60 min).
Conclusion: ultrasonic/ Fenton process applying current experimental conditions was found to be efficient in removal of the Penicillin G from aqueous solutions. Designing experiments by D-optimal method can optimize the removal of the process and prepare the best conditions for pollutant removal by reducing the number of experiments. 
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Type of Study: Research | Subject: Special
Received: 2018/02/17 | Accepted: 2018/02/17 | Published: 2018/02/17

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