光催化
材料科学
锐钛矿
X射线光电子能谱
可见光谱
碳纤维
吸收边
纳米材料
光化学
纳米颗粒
化学工程
带隙
纳米技术
催化作用
有机化学
化学
光电子学
复合数
工程类
复合材料
作者
Guanglong Liu,Changseok Han,Miguel Pelaez,Duanwei Zhu,Shuijiao Liao,V. Likodimos,Nikolaos Ioannidis,Athanassios G. Kontos,Polycarpos Falaras,Psm Dunlop,John Byrne,Dionysios D. Dionysiou
出处
期刊:Nanotechnology
[IOP Publishing]
日期:2012-06-28
卷期号:23 (29): 294003-294003
被引量:149
标识
DOI:10.1088/0957-4484/23/29/294003
摘要
We have demonstrated heterogeneous photocatalytic degradation of microcystin-LR (MC-LR) by visible light activated carbon doped TiO(2) (C-TiO(2)) nanoparticles, synthesized by a modified sol-gel route based on the self-assembly technique exploiting oleic acid as a pore directing agent and carbon source. The C-TiO(2) nanoparticles crystallize in anatase phase despite the low calcination temperature of 350 °C and exhibit a highly porous structure that can be optimized by tuning the concentration of the oleic acid surfactant. The carbon modified nanomaterials exhibited enhanced absorption in the broad visible light region together with an apparent red shift in the optical absorption edge by 0.5 eV (2.69 eV), compared to the 3.18 eV of reference anatase TiO(2). Carbon species were identified by x-ray photoelectron spectroscopy analysis through the formation of both Ti-C and C-O bonds, indicative of substitution of carbon for oxygen atoms and the formation of carbonates, respectively. Electron paramagnetic resonance spectroscopy revealed the formation of two carbon related paramagnetic centers in C-TiO(2), whose intensity was markedly enhanced under visible light illumination, pointing to the formation of localized states within the anatase band gap, following carbon doping. The photocatalytic activity of C-TiO(2) nanomaterials was evaluated for the degradation of MC-LR at pH 3.0 under visible light (λ > 420 nm) irradiation. The doped materials showed a higher MC-LR degradation rate than reference TiO(2), behavior that is attributed to the incorporation of carbon into the titania lattice.
科研通智能强力驱动
Strongly Powered by AbleSci AI