ABSTRACT

In this study, the performance of the ozonation process was investigated in the removal of antibiotics (Cephalexin, Ciprofloxacin, and Clarithromycin) from medical laboratory wastewater. Central composite design, one of the response surface methodologies, was applied to optimize process parameters and to develop a mathematical model. Analysis of variance (ANOVA) was performed to analyze the data and obtain the interactions between the responses and process variables. Independent variables were initial pH, reaction time, and ozone dosage, while the responses were the removal of Cephalexin, Ciprofloxacin, and Clarithromycin. Statgraphics Centurion XVI.I software was used for developing the quadratic regression models in the estimation of removals. The determined correlation coefficients were very high for the removal of all three antibiotics and the model was sufficiently in good agreement with experimental results. The experimental removal fractions of Cephalexin, Ciprofloxacin, and Clarithromycin under optimum process conditions were 99.5%, 98.3%, and 99.6%, respectively. As a result of the study, it was determined that ozonation is an effective treatment method in antibiotic removal from medical laboratory wastewater and the central composite design is a convenient tool for process optimization.

摘要

在这项研究中，研究了臭氧化过程在去除医学实验室废水中的抗生素（头孢氨苄、环丙沙星和克拉霉素）中的性能。中央复合设计是响应面方法之一，用于优化工艺参数并开发数学模型。进行方差分析 (ANOVA) 以分析数据并获得响应和过程变量之间的相互作用。自变量是初始 pH 值、反应时间和臭氧剂量，而响应是头孢氨苄、环丙沙星和克拉霉素的去除。Statgraphics Centurion XVI.I 软件用于开发估算清除量的二次回归模型。对于去除所有三种抗生素，确定的相关系数非常高，并且模型与实验结果非常吻合。最佳工艺条件下头孢氨苄、环丙沙星和克拉霉素的实验去除率分别为99.5%、98.3%和99.6%。研究结果表明，臭氧化是从医学实验室废水中去除抗生素的有效处理方法，中心复合设计是工艺优化的便捷工具。