Template-Free Preparation of Highly Sensitive Flexible Pressure Sensors with Microtaper Structure by MXene Modification

In recent years, flexible pressure sensors have garnered significant attention for their potential applications in human-machine interfaces, medical monitoring, and electronic skin. However, the microstructure of the sensitive layer often relies on external templates, resulting in a complicated and costly preparation process. Additionally, the existing conductive networks are challenging to combine high sensitivity and a wide detection range due to uneven dispersion of fillers or weak interfacial bonding. In this paper, carboxylated carbon nanotubes (MWCNTs-COOH)/thermoplastic polyurethane (TPU) composite films with conical microstructure on the surface were directly prepared without an external template by optimizing the parameters of the electrostatic spinning process (RPS). The conductive network and its mechanical properties were enhanced by hydrogen bonding between MXene and TPU. This improved the sensitivity and increased the detection range simultaneously. Experimental findings demonstrate that the sensor demonstrates a sensitivity of up to 443.63 kPa–1 within the range of 4 kPa, a detection limit as low as 2 Pa, respectively, and is capable of stable operation across a wide range of 266 kPa. Furthermore, the sensor demonstrates remarkable performance in scenarios such as human physiological signal monitoring and gesture recognition, thereby substantiating its practical value in the domains of medical health monitoring and human-computer interaction.

Authors

Institutions

Publication Details

Journal
ACS Applied Polymer Materials
Published
2025-09-04
DOI
https://doi.org/10.1021/acsapm.5c02086
Citations
2
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
1.35

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Template-Free Preparation of Highly Sensitive Flexible Pressure Sensors with Microtaper Structure by MXene Modification

Chengbang Zhang, Yafei Qin, Bojun Zhang, Lingjie Kong et al.
2 citations
ACS Applied Polymer Materials
Advanced Sensor and Energy Harvesting Materials
1.35
article

Template-Free Preparation of Highly Sensitive Flexible Pressure Sensors with Microtaper Structure by MXene Modification

Chengbang Zhang, Yafei Qin, Bojun Zhang, Lingjie Kong, Ying Wang, Jian Zhang, Renhan Li
article en
2 citations

Abstract

In recent years, flexible pressure sensors have garnered significant attention for their potential applications in human-machine interfaces, medical monitoring, and electronic skin. However, the microstructure of the sensitive layer often relies on external templates, resulting in a complicated and costly preparation process. Additionally, the existing conductive networks are challenging to combine high sensitivity and a wide detection range due to uneven dispersion of fillers or weak interfacial bonding. In this paper, carboxylated carbon nanotubes (MWCNTs-COOH)/thermoplastic polyurethane (TPU) composite films with conical microstructure on the surface were directly prepared without an external template by optimizing the parameters of the electrostatic spinning process (RPS). The conductive network and its mechanical properties were enhanced by hydrogen bonding between MXene and TPU. This improved the sensitivity and increased the detection range simultaneously. Experimental findings demonstrate that the sensor demonstrates a sensitivity of up to 443.63 kPa–1 within the range of 4 kPa, a detection limit as low as 2 Pa, respectively, and is capable of stable operation across a wide range of 266 kPa. Furthermore, the sensor demonstrates remarkable performance in scenarios such as human physiological signal monitoring and gesture recognition, thereby substantiating its practical value in the domains of medical health monitoring and human-computer interaction.

ACS Applied Polymer MaterialsVol. 7(17)
Kunming University of Science and Technology (CN), Faculty (United Kingdom) (GB)
National Natural Science Foundation of China
Openalex Percentile: Top 18%
Advanced Sensor and Energy Harvesting Materials
1.35
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.