Issue 20, 2024

A flexible silver-nanoparticle/polyacrylonitrile biomimetic strain sensor by patterned UV reduction for artificial intelligence flexible electronics

Abstract

Biological receptors play an important perception role for arthropods in nature, and also inspire the scientific community to explore new ways for artificially sensing subtle changes. However, the rapid and high-precision manufacturing of highly sensitive artificial receptors and sensor systems still presents a challenge. Inspired by an arthropod, we developed a silver-nanoparticle/polyacrylonitrile biomimetic strain sensor (SPBSS) by an ultraviolet (UV) induced in situ reduction strategy for the continuous recording of multi-scenario subtle mechanical signals. The SPBSS has a double-layer architecture consisting of a flexible polyacrylonitrile substrate and a silver-nanoparticle functional layer with a nanocrack geometric structure, yielding a high gauge factor (GF, 30.77) in a wide range (up to 75% strain). Using the multichannel SPBSS sensory system, we achieved high precision perception and remote instruction mapping, including subtle vibration location, wearable motion monitoring, and wireless control of devices. Moreover, assisted by artificial intelligence (AI), the proposed sensory system demonstrates a high precision for continuous recognition of both steady-state gestures (SSGs) and dynamic gestures (DGs) (with respective accuracies reaching 98.49% and 93.33%), thereby illustrating the enormous potential of the SPBSS in long-range control, vibration detection, human–machine interface (HMI), and disability assistance.

Graphical abstract: A flexible silver-nanoparticle/polyacrylonitrile biomimetic strain sensor by patterned UV reduction for artificial intelligence flexible electronics

Supplementary files

Article information

Article type
Paper
Submitted
12 Jan 2024
Accepted
07 Mar 2024
First published
08 Mar 2024

J. Mater. Chem. A, 2024,12, 11895-11906

A flexible silver-nanoparticle/polyacrylonitrile biomimetic strain sensor by patterned UV reduction for artificial intelligence flexible electronics

J. Lu, L. Su, Z. Zhang, W. Song, S. Hu, J. Wang, X. Li, Y. Huang, Z. He, M. Lei and S. Lin, J. Mater. Chem. A, 2024, 12, 11895 DOI: 10.1039/D4TA00276H

To request permission to reproduce material from this article, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements