光谱学与光谱分析, 2016, 36 (9): 3075, 网络出版: 2016-12-26
Cr-MnOx/堇青石催化剂制备及催化降解邻二氯苯性能研究
Preparation of Cr-MnOx/Cordierite and Their Properties for Catalytic Oxidation of 1,2-Dichlorobenzene
邻二氯苯 Cr-MnOx/堇青石催化剂 共沉淀法 催化氧化 1 2-dichlorobenzene Cr-MnOx/Cordierite composites Co-precipitation method Catalytic oxidation
摘要
采用溶胶凝胶法、 浸渍法、 共沉淀法以及流变相法制备了新型Cr-MnOx/堇青石催化剂, 同时采用X射线衍射(XRD)、 扫描电镜(SEM)、 热重和差热分析(TG-DTA)、 H2-程序升温还原(H2-TPR)以及元素能谱(EDS)技术对催化剂进行表征。 经筛选发现, 以共沉淀法制备的Cr-MnOx/堇青石催化剂(Cr/Mn=2∶5)催化活性最高。 通过表征结果可知, 以共沉淀方法制备的催化剂主要活性成分为Mn2O3和Cr2O3, 并且具有特殊的球形和较好的氧化还原性能, 协同作用的存在有助于催化降解目标污染物邻二氯苯(o-DCB)性能的提高; 在60 h之内, o-DCB降解率仍保持在80%以上, 具有较好的催化稳定性。
Abstract
Cr-MnOx/cordierite composites were prepared by Sol-gel, Impregnation, Co-precipitation and Rheological phase reaction method. Various technologies including X-ray diffraction (XRD), scanning electron microscopy (SEM), energy dispersive spectrometer (EDS), thermogravimetry/differential scanning calorimetry (TG/DCS), and temperature-programmed reduction (TPR) were used to characterize the structure and morphology properties of the synthesized composites. The catalytic ability test of 1,2-dichlorobenzene (o-DCB) over the catalysts was conducted in a fixed-bed flow reactor with a gas hourly space velocity (GHSV) of 30,000 h-1 to investigate the catalytic performance of the prepared composites. The results indicated that the combined Cr2O3 and Mn2O3 phases supported on cordierite possessed a special ball-shaped and better redox property in the catalyst prepared by the Co-precipitation method with a Cr/Mn atomic ratio of 2∶5, which was conducive to the increase of the synergistic effect and subsequently enhancement of the catalytic performance. Furthermore, it exhibited better stability within 60 h, which indicates a good prospect for industrial applications.
张文睿, 唐爱东, 薛建良. Cr-MnOx/堇青石催化剂制备及催化降解邻二氯苯性能研究[J]. 光谱学与光谱分析, 2016, 36(9): 3075. ZHANG Wen-rui, TANG Ai-dong, XUE Jian-liang. Preparation of Cr-MnOx/Cordierite and Their Properties for Catalytic Oxidation of 1,2-Dichlorobenzene[J]. Spectroscopy and Spectral Analysis, 2016, 36(9): 3075.