AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (15.2 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Additively manufactured porous elastomeric sensors for simultaneous high-sensitivity pressure detection and wide-dynamic-range motion tracking

Aoxi Yu1,§ Xiaoguang Hu2,§ Shen Yang1Borui Zhang1Yuzhe Gu1 Mingye Zhu1 Yanling Zhuang2 Shujuan Liu1 ( )Qiang Zhao1,2 ( )
State Key Laboratory of Flexible Electronics & Institute of Advanced Materials, Nanjing University of Posts & Telecommunications, Nanjing 210023, China
College of Electronic and Optical Engineering & College of Flexible Electronics (Future Technology), Jiangsu Province Engineering Research Center for Fabrication and Application of Special Optical Fiber Materials and Devices, Nanjing University of Posts and Telecommunications, Nanjing 210023, China

§ Aoxi Yu and Xiaoguang Hu contributed equally to this work.

Show Author Information

Abstract

Flexible pressure sensors are indispensable components in wearable electronics for health monitoring and exercise management. However, existing pressure sensors face a critical trade-off between high sensitivity and wide detection range. Herein, we present novel flexible pressure sensors based on poly(3,4-ethylenedioxythiophene):poly(styrene sulfonate) (PEDOT:PSS) and thermoplastic polyurethane (TPU), fabricated by direct ink writing (DIW) technology with a sacrificial template strategy. The integration of the high conductivity of PEDOT:PSS, the mechanical durability of TPU, and the engineered hierarchical porous structure with irregular surface topography enables the PEDOT:PSS/TPU-based pressure sensors (PPSs) to achieve an exceptionally wide detection range (0–1044 kPa), high sensitivity (30.178 kPa−1), and outstanding cycling stability (over 10,000 cycles). Leveraging these advantages, the sensors have demonstrated exceptional performance in precise physiological monitoring, effective pressure mapping through sensor arrays, and reliable operation in extreme environments (e.g., cryogenic conditions at −196 °C and underwater). Furthermore, the successful integration with LED circuits and wireless Bluetooth systems highlights their potential for next-generation wearable electronics and personalized healthcare monitoring.

Graphical Abstract

Through an innovative integration of materials science, additive manufacturing, and microstructure engineering, we have developed a porous, flexible pressure sensor with high sensitivity (30.178 kPa−1), an ultra-wide detection range (0–1044 kPa), and excellent durability (more than 10,000 cycles) while remaining stable under extreme conditions, such as cryogenic environments at −196 ℃ and underwater operation.

Electronic Supplementary Material

Video
7797_ESM_Video S1.mp4
7797_ESM_Video S2.mp4
7797_ESM_Video S3.mp4
Download File(s)
7797_ESM.pdf (940.4 KB)

References

【1】
【1】
 
 
Nano Research
Article number: 94907797

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Yu A, Hu X, Yang S, et al. Additively manufactured porous elastomeric sensors for simultaneous high-sensitivity pressure detection and wide-dynamic-range motion tracking. Nano Research, 2025, 18(11): 94907797. https://doi.org/10.26599/NR.2025.94907797
Topics:

2384

Views

627

Downloads

3

Crossref

2

Web of Science

2

Scopus

0

CSCD

Received: 03 June 2025
Revised: 05 July 2025
Accepted: 14 July 2025
Published: 18 September 2025
© The Author(s) 2025. Published by Tsinghua University Press.

This is an open access article under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0, https://creativecommons.org/licenses/by/4.0/).