Mingjie Huang, Tao Zhou, XiaohuiWu, Juan Mao. Adsorption and degradation of norfloxacin by a novel molecular imprinting magnetic Fenton-like catalyst[J]. , 2015, 23(10): 1698-1704.
DOI:
Mingjie Huang, Tao Zhou, XiaohuiWu, Juan Mao. Adsorption and degradation of norfloxacin by a novel molecular imprinting magnetic Fenton-like catalyst[J]. , 2015, 23(10): 1698-1704.DOI: 10.1016/j.cjche.2015.08.030.
Adsorption and degradation of norfloxacin by a novel molecular imprinting magnetic Fenton-like catalyst
摘要
Abstract
In this study
a novel magnetically separable adsorbent
molecular imprinting magnetic γ-Fe
2
O
3
/crosslinked chitosan composites (MIPs)
were prepared by a microemulsion process. Adsorption and Fenton-like oxidative degradation of a model pharmaceutical pollutant norfloxacin (NOR) by using MIPs were investigated. Various characterization methodswere used to study the properties ofMIPs
and it is suggested that the hydroxyl groups are the main adsorption sites for NOR. MIPs present better selective adsorption for NOR than its reference antibiotic sulfadiazine. The NOR adsorption data can be well fitted by Langmuir isotherm model and pseudosecond- order kinetic model. The optimum pH range for NOR adsorption is 7-10. In addition
the MIP-catalyzed Fenton-like system (MIPs/H
2
O
2
) exhibits remarkably faster removal rate for NOR than the case of γ-Fe
2
O
3
/ H
2
O
2
. The result indicates that MIPs will be a good functional material in decontamination of pharmaceutical wastewaters since MIPs can be magnetically recycled after the treatment.
关键词
Keywords
references
The trial reading is over, you can activate your VIP account to continue reading.
COS generation behavior during desulfurization for H2S over zeolite in simulated blast furnace gas
Ultra-efficient selective removal of 99TcO4-/ReO4- via self-polymerizing cationic organic polymer: Adsorption performance and mechanistic insight
Synthesis of ZSM-5 zeolite from desiliconization solution of coal fly ash and adsorption properties of Pb2+ containing wastewater
Synergistic pre-impregnation and templating strategy for constructing seaweed-based porous biochar with highly efficient Hg2+ adsorption performance
Machine learning for adsorption-related parameters prediction of electronic specialty gases: DFT-based dataset construction and balanced data augmentation
Related Author
Guo Yan
Hou Tuanyuan
Wang Yongjin
Chang Liping
Wang Jiancheng
Liao Junjie
Lu Tangzheng
Feng Jiayi
Related Institution
State Key Laboratory of Clean and Efficient Coal Utilization, Taiyuan University of Technology
College of Chemistry and Chemical Engineering, Xinjiang Normal University
Key Laboratory of Coal Science and Technology, Ministry of Education, Taiyuan University of Technology
College of Chemistry and Chemical Engineering, Taiyuan University of Technology
School of Chemical Engineering and Technology, Tianjin University