Journal Article

FZJ-2021-00965

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Single-trap phenomena stochastic switching for noise suppression in nanowire FET biosensors

Kutovyi, Y. (Corresponding author)FZJ* ; Madrid, I. ; Boichuk, N.FZJ* ; Kim, S. H. ; Fujii, T. ; Jalabert, L. ; Offenhaeusser, A.FZJ* ; Vitusevich, S.FZJ* ; Clément, N.

2021
Japan Soc. of Applied Physics Tokyo

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Please use a persistent id in citations: http://hdl.handle.net/2128/27167  doi:10.35848/1347-4065/abdc87

Abstract: With the fast-shrinking of the transistor dimensions, the low-frequency noise level considerably increases emerging as an important parameter for the design of advanced devices for information technologies. Single-trap phenomena (STP) is a promising approach for the low-frequency noise suppression technique in nanotransistor biosensors by considering trapping/detrapping noise as a signal. We show a noise reduction mechanism offered by STP in nanoscale devices making the analogy with stochastic resonance effect found in biological systems by considering a single trap as a bistable stochastically driven nonlinear system which transmits and amplifies the weak signals. The STP noise suppression effect is experimentally demonstrated for the fabricated liquid-gated nanosensors exploiting STP. We found the optimal conditions and parameters including optimized gate voltages to implement a stochastic switching effect for the extraction of useful signals from the background noise level. These results should be considered for the development of reliable and highly sensitive nanoscale biosensors.

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Contributing Institute(s):

1. Bioelektronik (IBI-3)

Research Program(s):

1. 524 - Molecular and Cellular Information Processing (POF4-524) (POF4-524)

Appears in the scientific report 2021

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Database coverage:
; ; Clarivate Analytics Master Journal List ; Current Contents - Electronics and Telecommunications Collection ; Current Contents - Physical, Chemical and Earth Sciences ; Essential Science Indicators ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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