2023
DOI: 10.1021/acsami.3c00202
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Estimation of the Depletion Layer Thickness in Silicon Nanowire-Based Biosensors from Attomolar-Level Biomolecular Detection

Abstract: Silicon nanowire (SiNW) biosensors have attracted a lot of attention due to their superior sensitivity. Recently, the dependence of biomolecule detection sensitivity on the nanowire (NW) width, number, and doping density has been partially investigated. However, the primary reason for achieving ultrahigh sensitivity has not been elucidated thus far. In this study, we designed and fabricated SiNW biosensors with different widths (10.8–155 nm) by integrating a complementary metal-oxide-semiconductor process and … Show more

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Cited by 4 publications
(3 citation statements)
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“…This observed trend in current changes aligns with the experimental results. 19,20,28,29) For calculating the resistance change ratio, the resistance of the SiNW biosensor at a ρ s of 0 C m −2 was designated as R 0 , while the resistances at other ρ s were denoted as R. The resistance change ratio was calculated by R R R 100%. 9…”
Section: Calculation Of Current Density In Sinws At Different Surface...mentioning
confidence: 99%
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“…This observed trend in current changes aligns with the experimental results. 19,20,28,29) For calculating the resistance change ratio, the resistance of the SiNW biosensor at a ρ s of 0 C m −2 was designated as R 0 , while the resistances at other ρ s were denoted as R. The resistance change ratio was calculated by R R R 100%. 9…”
Section: Calculation Of Current Density In Sinws At Different Surface...mentioning
confidence: 99%
“…The SiNW biosensors, exhibiting diverse widths ranging from 10.8 to 155 nm, were meticulously fabricated through a CMOS-compatible topdown fabrication process, as detailed in our prior work. 19,20) The n-type SiNWs connected with Ti electrodes were formed on a 145 nm thick buried oxide layer (SiO 2 ). The dimensions of the SiNWs were precisely controlled, with a length of 14 μm and a thickness of 22 nm.…”
Section: Validation Of the Simulationmentioning
confidence: 99%
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