A High-Performance Nitro-Explosives Schottky Sensor Boosted by Interface Modulation

被引：76

作者：

Yang, Zheng ^{[1
,2
]}

Dou, Xincun ^{[1
]}

Zhang, Shengli ^{[3
]}

Guo, Linjuan ^{[1
,2
]}

Zu, Baiyi ^{[1
]}

Wu, Zhaofeng ^{[1
]}

Zeng, Haibo ^{[3
]}

机构：

[1] Chinese Acad Sci, Key Lab Funct Mat & Devices Special Environm, Xinjiang Tech Inst Phys & Chem, Lab Environm Sci & Technol, Urumqi 830011, Peoples R China

[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China

[3] Nanjing Univ Sci & Technol, Coll Mat Sci & Engn, Inst Optoelect & Nanomat, Nanjing 210094, Jiangsu, Peoples R China

来源：

ADVANCED FUNCTIONAL MATERIALS | 2015年 / 25卷 / 26期

基金：

中国国家自然科学基金;

关键词：

interface modulation; nitro-explosives; Schottky sensor; selectivity; TiO2; SILICON NANOWIRE ARRAYS; WALLED CARBON NANOTUBES; VAPOR; TNT; SENSITIVITY; MOLECULES; DIODE; FILMS; FIELD;

D O I：

10.1002/adfm.201501120

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

A high-performance Schottky sensor boosted by interface modulation is fabricated for the detection of trace nitro-explosives vapors. The interface modulation strategy results in a silicon nanowires (SiNWs) array/TiO2/reduced graphene oxide (rGO) sensor with sensitive and selective response toward nitro-explosives vapors. The response of the SiNWs array/TiO2/rGO sensor toward nitro-explosives vapors, such as 9 ppb 2,4,6-trinitrotoluene, 4.9 ppt hexogen, and 0.25 ppq octagon, is boosted by 2.4, 7.5, and 5 times with the insertion of TiO2. Superior selectivity is shown even compared with interfering gases of 10 ppm. Such good sensing performance can be attributed to the good sensing performance of the Schottky heterojunction-based sensor, the Schottky barrier height modulation with the insertion of TiO2, SiNWs array structure enhanced diffusion, and TiO2 nanoparticles enhanced adsorption. This is believed to be the first Schottky heterojunction-based sensor for nitro-explosives vapors detection. This work would open a new way to develop highly sensitive and selective sensors.

引用

页码：4039 / 4048

页数：10

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