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Environmental Engineering Research 2009;14(2): 81-87. DOI: https://doi.org/10.4491/eer.2009.14.2.081
Decomposition of Antibiotics (Cefaclor) by Ionizing Radiation: Optimization and Modeling Using a Design of Experiment (DOE) Based on Statistical Analysis
Seungho Yu2, Soon-Woong Chang1, Si Jin Lee1, and Il-Hyoung Cho1
1Department of Environmental Engineering, Kyonggi University, Suwon 443-760, Korea
2Advanced Radiation Technology Institute, Korea Atomic Energy Research Institute, Jeongeup 580-185, Korea
Corresponding Author: Il-Hyoung Cho ,Tel: +82-31-255-9739, Fax: +82-31-254-4905, Email: cihyoung73@hanmail.net
Received: May 16, 2008;  Accepted: April 17, 2009.
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The decomposition of antibiotics (cefaclor) by gamma irradiation in aqueous solutions was experimentally evaluated. To obtain a mutual interaction between two factors (antibiotics concentrations and radiation doses) and to optimize these factors during the process, experimental design and statistical analysis were employed. The decomposition capability of the gamma radiation was also mathematically described as a function of cefaclor concentration and gamma-ray dose using the statistical analysis. The results showed that the cefaclor concentration (X1) in the response Y1 (Reduction of cefaclor concentration) and gamma-ray dose (X2) in the response Y2 (Removal efficiency (%) of cefaclor concentration) exhibited a significantly positive effect, whereas gamma-ray dose (X2) in the response Y1 showed a significantly negative effect. The estimated ridge of maximum responses and optimal conditions for Y1: (X1, X2) = (25 mg/L, 350 Gy) and Y2: (X1, X2) = (21 mg/L, 565 Gy) using canonical analysis were 4.37 mg/L of reduction of cefaclor concentration and 98.35% of removal efficiency of cefaclor concentration, respectively. The measurement values agreed well with the predicted ones, thereby confirming the suitability of the model for Y1 and Y2 and the success of the experimental design in optimizing the conditions of the gamma irradiation process.
Keywords: Antibiotics | Cefaclor | Gamma radiation | Experimental design | Statistical analysis
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