PSPICE model for silicon nanowire field‐effect transistor biosensors in impedimetric measurement mode
PSPICE model for silicon nanowire field‐effect transistor biosensors in impedimetric measurement mode
复制标题
阻抗测量模式下硅纳米线场效应晶体管生物传感器的 PSPICE 模型
DOI:
10.1002/pssa.201200919
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发表时间:
2013
期刊:
影响因子:
--
通讯作者:
S. Ingebrandt
中科院分区:
文献类型:
--
作者:
T. C. Nguyen;X. T. Vu;M. Freyler;S. Ingebrandt
In this work, we demonstrate a behavioral PSPICE model for silicon nanowire (SiNW) field‐effect transistor (FET) biosensors, which is suitable to simulate frequency domain electrical measurements. The model is divided into two separated components: an electrochemical part for the liquid/solid interface at the gate input and an FET part simulating the SiNW characteristics. In our study, the parameters of the FET model are obtained from characterization measurements of real devices, which are fabricated in our research group. Measurements were performed with a self‐developed readout system. The model can be used to investigate the effects of solution conductivity and the drain and source capacitances of the SiNW sensor. We observed that the impedance spectra consist of a low‐pass filter domain at low frequencies and a resonance domain at higher frequencies. The former is mainly influenced by the source capacitance and the oxide/liquid interface of the devices, whereas the latter is mainly dominated by the drain capacitance, in case that the solution conductivity is kept constant. In addition, based on the relationship of the solution conductivity and the experimental data, we suggest a value called representative resistance of the solution. In this study, the model was compared to real spectra and we achieved good agreement between simulation and experiments. Our model provides a clearer view for frequency domain measurements with SiNW sensors, offers the possibility to optimize our SiNW design and forms the basis to include and explain sensing events in future biomedical assays.
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影响因子:
8.4
作者:
KRUISE, J;RISPENS, JG;REINHOUDT, DN
通讯作者:
REINHOUDT, DN
影响因子:
7.4
作者:
M. Antonisse;B. Snellink-Ruël;R. J. Lugtenberg;J. Engbersen;A. van den Berg;D. Reinhoudt
通讯作者:
M. Antonisse;B. Snellink-Ruël;R. J. Lugtenberg;J. Engbersen;A. van den Berg;D. Reinhoudt
影响因子:
12.6
作者:
S. Schäfer;Stefan Eick;B. Hofmann;T. Dufaux;R. Stockmann;G. Wrobel;Andreas Offenhäusser;S. Ingebrandt
通讯作者:
S. Ingebrandt
DOI:
--
发表时间:
2010
期刊:
影响因子:
--
作者:
X. Vu;R. Stockmann;B. Wolfrum;A. Offenhäusser;S. Ingebrandt
通讯作者:
S. Ingebrandt
DOI:
10.1002/pssa.200880475
发表时间:
2009-03-01
影响因子:
2
作者:
Vu, Xuan Thang;Eschermann, Jan Felix;Ingebrandt, Sven
通讯作者:
Ingebrandt, Sven