AI Article Synopsis

  • - Conductive organohydrogels are promising for applications like health monitoring and artificial skin, but their mechanical and electrical properties need improvement.
  • - A new double-network organohydrogel made from poly(vinyl alcohol) and lipoic acid, enhanced with MXene, shows excellent elasticity, antifreezing capabilities, and strong durability for pressure sensors.
  • - These advanced sensors can accurately monitor human movements and even recognize letters with 93.75% accuracy using deep learning algorithms, highlighting their potential in human-computer interaction.

Article Abstract

Conductive organohydrogels-based flexible pressure sensors have gained considerable attention in health monitoring, artificial skin, and human-computer interaction due to their excellent biocompatibility, wearability, and versatility. However, hydrogels' unsatisfactory mechanical and unstable electrical properties hinder their comprehensive application. Herein, an elastic, fatigue-resistant, and antifreezing poly(vinyl alcohol) (PVA)/lipoic acid (LA) organohydrogel with a double-network structure and reversible cross-linking interactions has been designed, and MXene as a conductive filler is functionalized into organohydrogel to further enhance the diverse sensing performance of flexible pressure sensors. The as-fabricated MXene-based PVA/LA organohydrogels (PLBM) exhibit stable fatigue resistance for over 450 cycles under 40% compressive strain, excellent elasticity, antifreezing properties (<-20 °C), and degradability. Furthermore, the pressure sensors based on the PLBM organohydrogels show a fast response time (62 ms), high sensitivity ( = 0.0402 kPa), and excellent stability (over 1000 cycles). The exceptional performance enables the sensors to monitor human movements, such as joint flexion and throat swallowing. Moreover, the sensors integrating with the one-dimensional convolutional neural networks and the long-short-term memory networks deep learning algorithms have been developed to recognize letters with a 93.75% accuracy, representing enormous potential in monitoring human motion and human-computer interaction.

Download full-text PDF

Source
http://dx.doi.org/10.1021/acsami.4c12852DOI Listing

Publication Analysis

Top Keywords

flexible pressure
12
pressure sensors
12
elastic fatigue-resistant
8
fatigue-resistant antifreezing
8
highly elastic
4
antifreezing mxene
4
mxene functionalized
4
functionalized organohydrogels
4
organohydrogels flexible
4
sensors human
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!