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纳米钙钛矿La_xSr_(1-x)Fe_(1-y)CoyO_3复合氧化物的制备和表征 被引量:6

Synthesis and Characterization of Nanostructure Perovskite Type La_xSr_(1-x)Fe_(1-y)CoyO_3
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摘要 用甘氨酸-硝酸盐燃烧合成法,制备LaxSr1-xFe1-yCoyO3复合氧化物的陶瓷粉末,对该钙钛矿型氧化物进行了XRD、IR、紫外漫反射光谱及循环伏安曲线分析。结果表明:该复合氧化物粉体平均晶粒为15.3 ̄29.8nm,为立方和正交晶系。该氧电极具有双功能催化特性,但不完全可逆。对水溶液染料进行光解实验,利用紫外-可见、人工神经网络光度法研究LaxSr1-xFe1-yCoyO3的催化性能。结果表明:Co2+的加入可使LaxSr1-xFeO3的光催化活性有所提高,B位离子(Fe3+,Co2+)改变与加入,使LaxSr1-xFe1-yCoyO3(x=0.7,0.3;y=0.3,0.9,1)光催化活性高于LaxSr1-xFeO3。同时,对5种染料进行紫外光解,在0.75h,脱色率大于91%,并为动力学一级反应。 A new combustion synthesis method, the glycine-nitrate process, has been used to prepare complex oxide ceramic powders of LaxSr1-xFe1-yCoyO3. The structure and catalytic properties of the perovskite oxides were characterized by XRD, IR, UV-DRS and cyclic voltammeter curves technologies. The results indicated that the average particle size of the powder of both the cubic and orthorhombic LaxSr1-xFe1-yCoyO3 was in the range of 15.3-29.8 nm and that oxygen electrodes being not completely reversible have bifunctional catalyst activity. The degradation experiment of various water-soluble dyestuff was performed by photo-catalytic methods. The catalytic activity of LaxSr1-xFe1-yCoyO3 was studied with UV-Vis, IR and artificial nerve network and spectrophotometer. The results showed that the complex oxides of LaxSr1-xFe1-yCoyO3 (x=0.7, 0.3; y=0.3, 0.9, 1) presented evident photo-catalytic activity. The LaxSr1-xFe1-yCoyO3 showed stronger activities than LaxSr1-xFeO3 due to Co^2+ addition and the unique electronic structure of the ion B(Fe^3+, Co^3+). The results also showed that the addition of Co^2+ can remarkably improve the photoelectrocatalytic activity of LaxSr1-xFeO3. At the same time, the decoloration and degradation of five dyestuffs were studied by the catalytic of LaxSr1-xFe1-yCoyO3 with ultraviolet light. The decoloration rate is over 91% about 0.75 hour and LaxSr1-xFe1-yCoyO3 system kinetic reaction is pseudo-first order.
出处 《无机化学学报》 SCIE CAS CSCD 北大核心 2005年第11期1637-1642,共6页 Chinese Journal of Inorganic Chemistry
基金 国家自然科学基金资助项目(No.20175008) 江苏省船舶先进设计制造技术重点实验室资助。
关键词 LaxSr1-xFe1-yCoyO3 光电催化活性 人工神经网络 LaxSr1-xFe1-yCoyO3 photoelectrocatalytic activity artificial neural network
作者简介 林生岭,男,48岁,副教授,在职博士研究生:研究方向:光电化学及材料化学研究。通讯联系人,E-mail:linshl5757@sina.com,Tel:0511-4401840。
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