Cactus-inspired dual-sided micro-cilia arrays with swelling-induced CNT networks for high-performance wearable pressure sensing

Flexible and wearable pressure sensors have garnered significant attention due to their transformative potential in healthcare, human-machine interfaces, and robotics. Here, we report a cactus-inspired dual-sided micro-cilia array (DMCA) sensor incorporating swelling-induced CNT networks for enhanced wearable pressure sensing. The device leverages magnetically-assisted self-assembly through combined spray and spin coating processes, creating a bilayer architecture with distinct mechanical characteristics. Spray-coated, elongated cilia provide exceptional sensitivity under low-pressure conditions, while spin-coated, robust cilia ensure structural stability and a broad dynamic range. Post-fabrication infiltration of CNT networks into an elastomeric matrix <i>via</i> solvent-induced swelling imparts electrical conductivity without compromising the mechanical flexibility. Systematic morphological optimization identified ideal processing parameters balancing the sensitivity (up to 379 kPa<sup>-1</sup> in the 0-60 kPa range) and extended linear response (up to 200 kPa with a sensitivity of 85 kPa<sup>-1</sup>). Demonstrations highlight the sensor's capabilities in accurately monitoring physiological signals and enabling sophisticated human-machine interfaces, thereby offering a scalable and versatile platform for next-generation wearable electronics.

Authors

Institutions

Publication Details

Journal
Nanoscale
Published
2025-01-01
DOI
https://doi.org/10.1039/d5nr02983j
Citations
1
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.67
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cactus-inspired dual-sided micro-cilia arrays with swelling-induced CNT networks for high-performance wearable pressure sensing

Bingpu Zhou, Lei Ming
1 citations
Nanoscale
Advanced Sensor and Energy Harvesting Materials
0.67
article

Cactus-inspired dual-sided micro-cilia arrays with swelling-induced CNT networks for high-performance wearable pressure sensing

Bingpu Zhou, Lei Ming
article en
1 citations

Abstract

Flexible and wearable pressure sensors have garnered significant attention due to their transformative potential in healthcare, human-machine interfaces, and robotics. Here, we report a cactus-inspired dual-sided micro-cilia array (DMCA) sensor incorporating swelling-induced CNT networks for enhanced wearable pressure sensing. The device leverages magnetically-assisted self-assembly through combined spray and spin coating processes, creating a bilayer architecture with distinct mechanical characteristics. Spray-coated, elongated cilia provide exceptional sensitivity under low-pressure conditions, while spin-coated, robust cilia ensure structural stability and a broad dynamic range. Post-fabrication infiltration of CNT networks into an elastomeric matrix <i>via</i> solvent-induced swelling imparts electrical conductivity without compromising the mechanical flexibility. Systematic morphological optimization identified ideal processing parameters balancing the sensitivity (up to 379 kPa<sup>-1</sup> in the 0-60 kPa range) and extended linear response (up to 200 kPa with a sensitivity of 85 kPa<sup>-1</sup>). Demonstrations highlight the sensor's capabilities in accurately monitoring physiological signals and enabling sophisticated human-machine interfaces, thereby offering a scalable and versatile platform for next-generation wearable electronics.

NanoscaleVol. 17(42)
University of Macau (MO)
Openalex Percentile: Top 26%
Advanced Sensor and Energy Harvesting Materials
0.67
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.