Biomedical applications of sensing devices with memristive behaviors

Abstract

Health monitoring and disease diagnosis currently face various challenges and opportunities with the continuous innovation and progress of technology, which has further promoted the development of medical science and healthcare. The integration of memristors and biosensing devices is expected to bring revolutionary development to health monitoring and disease diagnosis. Memristor is a nonlinear two terminal device whose resistance can be switched between high resistance state (HRS) and low resistance state (LRS) with input current or voltage. It has great advantages in processing complex information and pattern recognition, and can simulate the biosynaptic behavior, achieving efficient parallel computing and pattern recognition. Biosensing is an advanced technology that can accurately detect the physiological status of biomolecules, cells, or organisms and convert it into measurable signals. Although there are significant differences in physical theory between biosensors and memristors, there are also similarities in functional applications between the two devices. The function of memristors can be extended to memristive biosensors, enabling precise and real-time health monitoring in complex biological environments, which is of great significance for early diagnosis and prevention of diseases. Here, this review article focuses on the application of memristive biosensors in the medical field. It is introduced the potential applications of biomimetic systems based on flexible resistive biosensors in the medical field, as well as the innovation and progress they bring to intelligent healthcare. Finally, the future application prospects of memristive biosensing in the field of intelligent medicine are discussed.

Article information

Article type
Review Article
Submitted
04 Wax 2024
Accepted
12 Hag 2024
First published
13 Hag 2024

J. Mater. Chem. C, 2024, Accepted Manuscript

Biomedical applications of sensing devices with memristive behaviors

Y. Yang, B. Sun, S. S. Mao, J. Qin, Y. Yang, M. Liu, Z. Rao, W. Lin and Y. Zhao, J. Mater. Chem. C, 2024, Accepted Manuscript , DOI: 10.1039/D4TC02289K

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