rGO/CTAB/CMF Flexible Pressure Sensor Based on Honeycomb Structure for Human Posture Signal Acquisition

Detecting pressure plays a vital role in electronic skin, which holds vast potential for recognizing physiological signals within the human body. Conventional pressure detection devices frequently encounter issues such as limited detection ranges and low cyclic retention rates. This study utilizes electrostatic self-assembly to precisely deposit reduced graphene oxide (rGO) onto the substrate surface, thereby creating a highly sensitive pressure feedback layer upon reduction. Furthermore, electrostatic spinning is employed to fabricate poly(vinyl alcohol) fibers at the interface between the pressure feedback layer and the interdigitated electrodes, thereby augmenting device sensitivity. Sensors fabricated using this method demonstrate exceptional sensing capabilities across a broad pressure spectrum, achieving ultrahigh sensitivities of 195.44, 165.79, and 125.95 kPa–1 within the ranges of 0–2.7, 2.7–6.91, and 6.91–20 kPa, respectively. They exhibit a rapid deformation response of 92 ms and a fast deformation recovery of 70 ms. Moreover, these sensors display outstanding durability, maintaining over 80% cyclic retention after 10,000 loading–unloading cycles. Finite element numerical simulation results suggest that the rGO/CTAB/CMF composite material, prepared using this method, exhibits superior mechanical and sensing properties. Furthermore, by integration with a custom microprocessor, the sensor’s operational capability is significantly enhanced, enabling precise processing and analysis of limb signal data in everyday situations.

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Publication Details

Journal
ACS Applied Nano Materials
Published
2024-10-28
DOI
https://doi.org/10.1021/acsanm.4c05152
Citations
2
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.37

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article

rGO/CTAB/CMF Flexible Pressure Sensor Based on Honeycomb Structure for Human Posture Signal Acquisition

Hao Gu, Yi Jiang, Junlai Jiang, Jinying Yue et al.
2 citations
ACS Applied Nano Materials
Advanced Sensor and Energy Harvesting Materials
0.37
article

rGO/CTAB/CMF Flexible Pressure Sensor Based on Honeycomb Structure for Human Posture Signal Acquisition

Hao Gu, Yi Jiang, Junlai Jiang, Jinying Yue, Suwen Li, Yan-Ling Cao
article en
2 citations

Abstract

Detecting pressure plays a vital role in electronic skin, which holds vast potential for recognizing physiological signals within the human body. Conventional pressure detection devices frequently encounter issues such as limited detection ranges and low cyclic retention rates. This study utilizes electrostatic self-assembly to precisely deposit reduced graphene oxide (rGO) onto the substrate surface, thereby creating a highly sensitive pressure feedback layer upon reduction. Furthermore, electrostatic spinning is employed to fabricate poly(vinyl alcohol) fibers at the interface between the pressure feedback layer and the interdigitated electrodes, thereby augmenting device sensitivity. Sensors fabricated using this method demonstrate exceptional sensing capabilities across a broad pressure spectrum, achieving ultrahigh sensitivities of 195.44, 165.79, and 125.95 kPa–1 within the ranges of 0–2.7, 2.7–6.91, and 6.91–20 kPa, respectively. They exhibit a rapid deformation response of 92 ms and a fast deformation recovery of 70 ms. Moreover, these sensors display outstanding durability, maintaining over 80% cyclic retention after 10,000 loading–unloading cycles. Finite element numerical simulation results suggest that the rGO/CTAB/CMF composite material, prepared using this method, exhibits superior mechanical and sensing properties. Furthermore, by integration with a custom microprocessor, the sensor’s operational capability is significantly enhanced, enabling precise processing and analysis of limb signal data in everyday situations.

ACS Applied Nano MaterialsVol. 7(21)
Advanced Energy Materials (United States) (US), Ningxia Water Conservancy (CN), Changchun Institute of Technology (CN), Changchun University of Technology (CN)
Department of Science and Technology of Jilin Province
Affordable and clean energy
Openalex Percentile: Top 43%
Advanced Sensor and Energy Harvesting Materials
0.37
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