共 40 条
Enhanced Sensing of Nucleic Acids with Silicon Nanowire Field Effect Transistor Biosensors
被引:170
作者:
Gao, Anran
[1
,4
]
Lu, Na
[1
,3
,4
]
Wang, Yuchen
[2
]
Dai, Pengfei
[1
,4
]
Li, Tie
[1
,4
]
Gao, Xiuli
[1
,4
]
Wang, Yuelin
[1
,4
]
Fan, Chunhai
[3
]
机构:
[1] Chinese Acad Sci, Shanghai Inst Microsyst & Informat Technol, State Key Labs Transducer Technol, Shanghai 200050, Peoples R China
[2] Peking Univ, Dept Microelect, Beijing 100871, Peoples R China
[3] Chinese Acad Sci, Shanghai Inst Appl Phys, Phys Biol Lab, Shanghai 201800, Peoples R China
[4] Chinese Acad Sci, Sci & Technol Microsyst Lab, Shanghai Inst Microsyst & Informat Technol, Shanghai 200050, Peoples R China
基金:
中国国家自然科学基金;
关键词:
SiNW-FETs;
biosensor;
ultrasensitive;
detection limit;
LABEL-FREE DETECTION;
SEQUENCE-SPECIFIC DETECTION;
ELECTRICAL DETECTION;
DNA HYBRIDIZATION;
SENSOR ARRAYS;
AMPLIFICATION;
OPTIMIZATION;
SPECTROSCOPY;
NANOSENSORS;
ELECTRODES;
D O I:
10.1021/nl302476h
中图分类号:
O6 [化学];
学科分类号:
0703 ;
摘要:
Silicon nanowire (SiNW) field effect transistors (FETs) have emerged as powerful sensors for ultrasensitive, direct electrical readout, and label-free biological/chemical detection. The sensing mechanism of SiNW-FET can be understood in terms of the change in charge density at the SiNW surface after hybridization. So far, there have been limited systematic studies on fundamental factors related to device sensitivity to further make clear the overall effect on sensing sensitivity. Here, we present an analytical result for our triangle cross-section wire for predicting the sensitivity of nanowire surface-charge sensors. It was confirmed through sensing experiments that the back-gated SiNW-FET sensor had the highest percentage current response in the subthreshold regime and the sensor performance could be optimized in low buffer ionic strength and at moderate probe concentration. The optimized SiNW-FET nanosensor revealed ultrahigh sensitivity for rapid and reliable detection of target DNA with a detection limit of 0.1 fM and high specificity for single-nucleotide polymorphism discrimination. In our work, enhanced sensing of biological species by optimization of operating parameters and fundamental understanding for SiNW PET detection limit was obtained.
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页码:5262 / 5268
页数:7
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