Modeling of Photo Catalytic Degradation of Chloramphenicol using Full Factorial Design

Mamta Dubey, Mumtaj Shah
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引用次数: 1

Abstract

In this study, photo catalytic degradation of chloramphenicol CAP using TiO2 as photo catalyst in an annular batch photo reactor was carried out. A full factorial design with three experimental factors; pH X1, TiO2 concentration X2 and CAP initial concentration X3 was selected for degradation process. A multiple regression first order model obtained as which shows a functional relationship between the degradation rate of CAP, three experimental factors and the interactions of the factors on the entire process. The results show that the factor pH and TiO2 have strong effect on the process while CAP concentration has weak effect in comparison to other factors, within the range tested. Interaction X2X3 and X1X2X3 also significantly affect the degradation experiment. TiO2 concentration has a positive effect but pH and CAP concentration have negative effect on the entire degradation process. An average of 80.22% of degradation rate of CAP can be achieved from current setup. The regression model is adequate enough with R2 value of 0.9708 and adj-R2 value of 0.9453.
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基于全因子设计的氯霉素光催化降解建模
本研究以TiO2为光催化剂,在环形间歇式光反应器中进行了氯霉素CAP的光催化降解。三个试验因素的全因子设计;选择pH X1、TiO2浓度X2和CAP初始浓度X3进行降解。得到的一阶多元回归模型显示了CAP降解率与三个实验因素之间的函数关系,以及各因素在整个过程中的相互作用。结果表明,在测试范围内,pH和TiO2对工艺的影响较强,CAP浓度对工艺的影响较弱。交互作用X2X3和X1X2X3也显著影响降解实验。TiO2浓度对整个降解过程有正向影响,而pH和CAP浓度对整个降解过程有负向影响。在目前的设置下,CAP的平均降解率可达到80.22%。回归模型是足够的,R2值为0.9708,adjr -R2值为0.9453。
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