Demonstration of CMOS-compatible memristor-based electrochemical biosensor transducer with threshold-sensing functionality

Y Young-Joon Kim (School of Life Sciences, Gwangju Institute of Science and Technology) Y Youna Kwon Y Youngwoo Yoo K Kandaswamy Theyagarajan S Sairaman Saikrithika A Aryeong Lee N Nam Ho Bae W Won-Chul Lee G Gapseop Sim Y Younghyun Lee S See-On Park H Hyijae Cho M Min-Ho Kang Y Youngjoo Kim Y Yumin Park K Kyoung G. Lee C Choul-Young Kim H Hyoungho Ko W Woo-Suk Sul S Seok Jae Lee J Jae-Hyuk Ahn S Shinhyun Choi K Kyung Min Kim J Jongwon Lee (Department of Neurobiology, University of Pittsburgh School of Medicine)

Abstract

Abstract Many electrochemical biosensors operate based on a threshold-sensing (TS) method, which indicates the presence of a disease when the concentration of a biomarker exceeds a predetermined, disease-specific threshold. The TS in biosensor systems is often implemented using power-hungry signal processing (SP) modules or computers, which increases energy consumption and system complexity. Here, we propose a memristor-based bio-to-electrical transducer with built-in TS functionality, allowing TS to be performed directly within the transducer instead of relying on SP modules and computers. Fabricated resistive random-access memory-based TaO X /Ta 2 O 5 memristors meet the transducer requirements, such as a high on/off ratio greater than 30 while maintaining a long unit pulse width exceeding 10 μs. The intended operation of the proposed transducer was experimentally confirmed by the immediate change in resistance of the memristor (R M ) from high resistance state to low resistance state. Using this proposed transducer, a complete electrochemical biosensor system was implemented by integrating a sensor electrode for pH sensing, an SP module, and a display with the proposed transducer. The memristor-based system offers flexible control of the threshold pH point through a simple design, making it well-suited for point-of-care diagnostics, where portability is highly essential.

Article Details

Volume / Issue Vol. 16, Issue 1
Published December 03, 2025
ISSN 2041-1723
Publisher Nature Portfolio

Journal Info

Nature Communications

Nature Portfolio

ISSN: 2041-1723 Open Access Life Sciences

Authors (24)

Y

Young-Joon Kim

School of Life Sciences, Gwangju Institute of Science and Technology

Y

Youna Kwon

Y

Youngwoo Yoo

K

Kandaswamy Theyagarajan

S

Sairaman Saikrithika

A

Aryeong Lee

N

Nam Ho Bae

W

Won-Chul Lee

G

Gapseop Sim

Y

Younghyun Lee

S

See-On Park

H

Hyijae Cho

M

Min-Ho Kang

Y

Youngjoo Kim

Y

Yumin Park

K

Kyoung G. Lee

C

Choul-Young Kim

H

Hyoungho Ko

W

Woo-Suk Sul

S

Seok Jae Lee

J

Jae-Hyuk Ahn

S

Shinhyun Choi

K

Kyung Min Kim

J

Jongwon Lee

Department of Neurobiology, University of Pittsburgh School of Medicine