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2020
DOI: 10.1016/j.cap.2020.02.021
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Experimental extraction of stern-layer capacitance in biosensor detection using silicon nanowire field-effect transistors

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Cited by 13 publications
(10 citation statements)
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“…The research on Stern and diffusion is of great importance to improve the accuracy of target molecule detection. A method of experimentally extracting the Stern layer capacitance (C stern ) of Si NWs ISFET has been proposed which improves the development of ISFET-based biosensors [ 80 ]. So far, the commonly used detection mechanism is based on the drift of threshold voltage (V TH ) or the change of NWs conductance when binding target biomolecules.…”
Section: Device Mechanismsmentioning
confidence: 99%
“…The research on Stern and diffusion is of great importance to improve the accuracy of target molecule detection. A method of experimentally extracting the Stern layer capacitance (C stern ) of Si NWs ISFET has been proposed which improves the development of ISFET-based biosensors [ 80 ]. So far, the commonly used detection mechanism is based on the drift of threshold voltage (V TH ) or the change of NWs conductance when binding target biomolecules.…”
Section: Device Mechanismsmentioning
confidence: 99%
“…The dipole formation is simulated as formation of a very thin insulative electric double layer with permittivity of 2.25 [25,26]. The gas adsorption at the surface/interface is simulated through an effective change in the work-function of gate metal with respect to the concentration of gas reaching the surface.…”
Section: Device Parametersmentioning
confidence: 99%
“…Silicon (Si) nano/microstructures fabricated by nano/micromachining have attracted much interest in applications of three-dimensional transistors, 1 nanoelectrics, 2 energy harvesting materials, 3 batteries, 4 highly sensitive sensors, 5,6 and metamaterials. 7 In particular, Si nano/micromachining through metal-assisted chemical etching (MACE) is regarded as an influential method due to its simplicity, low cost, high throughput, high crystalline quality, and applicability under ambient conditions.…”
Section: Introductionmentioning
confidence: 99%