journal article·2026-07-28

Multimodal Flexible Sensors Based on Porous Laser-Induced Graphene with Tunable Thermal Therapy and Haptic Perception

Chunli Luo, Shengchang Ren, Wei Zhao, Zhibo Liu, Weiguo Yan

ACS Applied Electronic Materials· Volume 8· Issue 14
Publisher page

Abstract

Abstract Laser-induced technology on polyimide(PI) substrates, as an effective and simple method, is used to prepare patterned and large-area graphene for application in healthcare monitoring and human motion sensing. However, laser-induced graphene on PI substrates has some limitations in healthcare monitoring and human motion sensing due to low skin compatibility and nonstretchability issues. Therefore, PDMS-LIG-PDMS wearable and flexible sensor is prepared by the semi-solid-state transfer (S3T) strategy, which can achieve the high-quality and rapid transfer of LIG by precisely controlling the polydimethylsiloxane (PDMS) curing process (cured at 70 °C for 20 min to reach a semi-solid state). The as-fabricated PDMS-LIG-PDMS flexible sensor (P-LIG-PFS) exhibits a rapid response of 250 ms and a stable cycling life of over 10,000 s. Benefiting from the unique mechanism coupling microcrack propagation and transverse tension, the sensor demonstrates piecewise high sensitivity over a wide working range: within the pressure range of 0–40 kPa, the sensitivity is 1.948 kPa–1 in the 0–20 kPa interval and reaches a peak of 5.599 kPa–1 in the 26–34 kPa interval; within the tensile strain range of 0–40%, the gauge factor (GF) significantly increases from 7.440 in the 0–20% interval to 24.982 in the 30–40% interval. In addition, the sensor can not only be integrated into a mechanical claw to achieve tactile perception of various objects, but also provide thermotherapy for the human body, demonstrating broad application prospects in wearable medical devices and humanoid robotics.
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Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Graphene research and applications · Laser-Ablation Synthesis of Nanoparticles

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Tianjin Chengjian University , , ,

Nankai University , , ,

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