Mechanism and Optimization of pH Sensing Using SnO2 Nanobelt Field Effect Transistors

被引:121
作者
Cheng, Yi [1 ,2 ]
Xiong, P. [1 ,2 ]
Yun, C. Steven [3 ]
Strouse, G. F. [3 ]
Zheng, J. P. [4 ,5 ]
Yang, R. S. [6 ]
Wang, Z. L. [6 ]
机构
[1] Florida State Univ, Dept Phys, Tallahassee, FL 32306 USA
[2] Florida State Univ, Ctr Mat Res & Technol, Tallahassee, FL 32306 USA
[3] Florida State Univ, Dept Chem & Biochem, Tallahassee, FL 32306 USA
[4] Florida A&M Univ, Coll Engn, Dept Elect & Comp Engn, Tallahassee, FL 32310 USA
[5] Florida State Univ, Tallahassee, FL 32310 USA
[6] Georgia Inst Technol, Sch Mat Sci & Engn, Atlanta, GA 30332 USA
关键词
D O I
10.1021/nl801696b
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
We report a systematic investigation about the mechanism of pH sensing using SnO2 nanobelt field effect transistors (FETs). The FETs, based on single SnO2 nanobelts, are channel-limited and with proper contact passivation; the pH sensing was conducted with sodium phosphate solutions. through integrated microfluidics. The responses of the FET channel conductance to pH were measured at different gate voltages: a linear pH dependence was observed in the linear trans. port "on" state, while an exponential dependence was observed in the subthreshold regime. Measurements at the same pH but different ion concentrations demonstrated that the FET's pH sensitivity decreases logarithmically with the ion concentration. The effect of APTES-functionalization was evaluated by comparing the pH responses of the same device with and without the surface modification. The APTES functionalization results in a slight enhancement of the pH sensitivity and a large suppression of the noise level, leading to marked improvement in the signal-to-noise ratio. The results indicate that the pH sensing is based on a screened field-effect response of the FETs to the surface protonation/deprotonation on the nanobelt. This study provides several useful guidelines for optimizing the sensor performance for chemical and biomolecular detection.
引用
收藏
页码:4179 / 4184
页数:6
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