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research article

New Insights Into the I/V Hysteretic Characteristics of Memristive Biosensors

Bhardwaj, Kapil  
•
Golparvar, Ata  
•
Chen, Junrui  
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September 1, 2023
Ieee Sensors Letters

Over the past decade, significant advancements have been made in the study of silicon nanowires (SiNWs). These nanoscaled devices can exhibit a memristive type of hysteresis in the current/voltage (I/V) plane that has been utilized in the biosensors leading to exceptional sensitivities up to the femto levels. Here we investigate the memristive properties of SiNW-based biosensors in their unmodified state, as well as after surface biofunctionalization with aptamers. The development of SiNWs involved a top-down nanofabrication approach, resulting in nanowires with 100 nm wide and 1 mu m long. Later, biofunctionalization was performed through controlled drop casting. The experimental findings obtained in this study demonstrate for the first time that different SiNWs from the same fabrication batch can exhibit diverse memristive switching phenomena in the I/V plane. These phenomena encompass both volatile noncrossing memristive behavior as well as nonvolatile crossing memristive responses. Furthermore, we demonstrate that the I/V hysteresis exhibited by biofunctionalized nanowires is determined by their inherent memristive characteristics and the induced capacitive effect. Drawing upon these new findings, a simple mathematical simulation model of the Memristive biosensor is developed and evaluated in SPICE.

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Type
research article
DOI
10.1109/LSENS.2023.3301840
Web of Science ID

WOS:001049919800005

Author(s)
Bhardwaj, Kapil  
Golparvar, Ata  
Chen, Junrui  
Barbruni, Gian Luca  
Carrara, Sandro  
Date Issued

2023-09-01

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

Published in
Ieee Sensors Letters
Volume

7

Issue

9

Article Number

1500904

Subjects

Engineering, Electrical & Electronic

•

Instruments & Instrumentation

•

Physics, Applied

•

Engineering

•

Instruments & Instrumentation

•

Physics

•

sensor phenomena

•

biosensor

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in-memory sensing

•

memristive behavior

•

modeling

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

Available on Infoscience
September 11, 2023
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/200529
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