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Visible light photoelectrochemical sulfide sensor based the use of TiO2 nanotube arrays loaded with Cu2O
Microchimica Acta ( IF 5.3 ) Pub Date : 2017-08-04 , DOI: 10.1007/s00604-017-2441-7
Yongzhao Su , Siyuan Yang , Weipeng Liu , Long Qiao , Jie Yan , Yingju Liu , Shengsen Zhang , Yueping Fang

AbstractThis work describes a photoelectrochemical for sensing sulfide method that is based on TiO2 nanotubes loaded with Cu2O particles (Cu2O/TiNTs). The narrow band gap of Cu2O and the heterostructure at the interface between Cu2O and TiO2 in the Cu2O/TiNTs significantly enhance visible light absorption and charge separation, and these results in an improved photocurrent of the Cu2O/TiNT electrode under irradiation with visible light (> 400 nm). In the presence of sulfide, Cu7S4 is formed on the surface of the Cu2O/TiNT, this leading to a decrease in the photocurrent on the electrode. At a potential of 0.0 V, the photocurrent of the Cu2O/TiNTs before and after immersing it into 300 μM sulfide solution is 1086 and 310 μA cm−2, respectively. The findings were used to design a photoelectrochemical sulfide sensor. Under optimum conditions and at a pH value of 7.0, the change in photocurrent varies linearly in the 1 to 300 μM sulfide concentration range with a 0.6 μM detection limit. The sensor was applied to the determination of sulfide in spiked real water samples. Graphic AbstractCu2O nanoparticles were decorated on TiO2 nanotube arrays (Cu2O/TiNTs) by electrodeposition to obtain a visible light photoelectrochemical sensor for sulfide.

中文翻译:

基于负载有 Cu2O 的 TiO2 纳米管阵列的可见光光电化学硫化物传感器

摘要这项工作描述了一种基于负载有 Cu2O 颗粒 (Cu2O/TiNTs) 的 TiO2 纳米管来检测硫化物的光电化学方法。Cu2O 的窄带隙以及 Cu2O/TiNT 中 Cu2O 和 TiO2 界面处的异质结构显着增强了可见光吸收和电荷分离,这些导致 Cu2O/TiNT 电极在可见光照射下的光电流得到改善 (> 400 纳米)。在硫化物存在的情况下,Cu7S4 会在 Cu2O/TiNT 表面形成,这导致电极上的光电流降低。在 0.0 V 的电位下,Cu2O/TiNTs 在浸入 300 μM 硫化物溶液之前和之后的光电流分别为 1086 和 310 μA cm-2。这些发现用于设计光电化学硫化物传感器。在最佳条件和 7.0 的 pH 值下,光电流的变化在 1 到 300 μM 硫化物浓度范围内线性变化,检测限为 0.6 μM。该传感器用于测定加标实际水样中的硫化物。图形摘要通过电沉积将Cu2O 纳米颗粒装饰在TiO2 纳米管阵列(Cu2O/TiNTs) 上,获得了硫化物的可见光光电化学传感器。
更新日期:2017-08-04
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