PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 21, 2026Small5 citations

Multifunctional Flexible Sensor with Bionic Micro‐Nano Hierarchical Structure for Dual‐Mode Pressure and Temperature Sensing

View Full Paper
DXDandan XuPZPeng ZhouJMJunru Ma

Key Points

  • The study aims to develop a bionic multifunctional sensor that can simultaneously detect pressure and temperature.
  • Designed a bionic multifunctional sensor inspired by natural structures.
  • Used MXene-coated melamine foam and carbon nanotubes/poly(vinylidene fluoride) for sensor construction.
  • Tested the sensor's pressure and temperature sensitivity, response time, and detection range.
  • Achieved ultra-high pressure sensitivity of 986.51 kPa −1.
  • Reported a wide pressure detection range from 0 to 200 kPa.
  • Demonstrated fast response time of 22 ms and temperature sensitivity of 9.891 µVK −1.

Abstract

ABSTRACT Flexible electronic devices have garnered significant attention for their promising applications in healthcare and electronic skin, particularly versatile multifunctional sensors with multi‐modal and diverse sensing capabilities. However, these sensors often encounter challenges such as diminished sensing performance and difficulties in decoupling. Bioinspired by ants, spiders, mosquitoes, and lotus leaves, a bionic multifunctional (BMF) sensor is proposed in this study, featuring micro‐nano hierarchical structure that offers exceptional hydrophobicity and enables simultaneous pressure and temperature sensing. The BMF sensor, constructed of MXene‐coated melamine foam and carbon nanotubes/poly(vinylidene fluoride) nanofiber membrane, exhibits an ultra‐high‐pressure sensitivity (986.51 kPa −1 ), wide detection range (0–200 kPa), fast response time (22 ms), and a temperature sensitivity of 9.891 µVK −1 . Based on the integrated sensor array of the multifunctional sensing film, the pressure‐temperature distribution could be accurately identified. The excellent performance of the BMF sensor allowed it to successfully monitor different physiological signals in the human body. More importantly, an intelligent gesture recognition system for robotic hands based on noncontact human‐machine interaction was developed by combining wireless transmission and deep learning. These results indicate that the prepared sensors have great application potential in the fields of healthcare, intelligent robots, human‐machine interaction, and artificial intelligence.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Xu et al. (2026) studied this question.

synapsesocial.com/papers/69be35606e48c4981c6739d1https://doi.org/10.1002/smll.73163
Ask AI
Helpful
Bookmark
Share
View Full Paper