High‐Performance Pressure and Temperature Dual‐Mode Sensor Based on Thermoelectric Aerogels for Multimodal Intellectual Panel Application

Abstract Developing sensors with multi‐sensory detection capabilities will streamline integrated systems and simplify the integration process. Herein, dual‐mode temperature and pressure sensors based on PEDOT: PSS/CNTs/CNF/MXene (PCCM) is established. In terms of temperature sensing, the aerogel structure and introduction of MXene provide ultra‐low thermal conductivity, ensuring a stable temperature gradient. The addition of CNTs forms an excellent conductive network, significantly enhancing temperature sensing performance and achieving a maximum Seebeck coefficient of 28.2 µV K −1 , the introduction of MXene ensures PCCM the output electrical signal has ultra‐low noise and a high signal‐to‐noise ratio, allowing the detection of temperature differences as small as 0.05 K. Regarding pressure sensing, the sensitivity exhibited in the low‐pressure range (0–4 kPa) is −11.44% kPa −1 . Additionally, MXene significantly increases the sensor's electrical conductivity, reducing electron scattering and obstacles, shortening the response and recovery times (120 ms) for pressure measurements, and combining with CNTs/CNF increasing the hardness of the PCCM sensor, thereby expanding the pressure measurement range (0–20 kPa). It also highlights its promising potential for skin‐like sensing and human–computer interaction applications by developing a multimodal intellectual panel. This work provides a simple and scalable fabrication method to design high‐performance multifunctional sensors for various applications, such as e‐skin and robotics.

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Publication Details

Journal
Advanced Materials Technologies
Published
2025-02-12
DOI
https://doi.org/10.1002/admt.202401891
Citations
5
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
3.37

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article

High‐Performance Pressure and Temperature Dual‐Mode Sensor Based on Thermoelectric Aerogels for Multimodal Intellectual Panel Application

Yubing Huang, Yang Lan, Saihua Jiang, Zubin Wang et al.
5 citations
Advanced Materials Technologies
Advanced Sensor and Energy Harvesting Materials
3.37
article

High‐Performance Pressure and Temperature Dual‐Mode Sensor Based on Thermoelectric Aerogels for Multimodal Intellectual Panel Application

Yubing Huang, Yang Lan, Saihua Jiang, Zubin Wang, Guohui Li, Shun Li
article en
5 citations

Abstract

Abstract Developing sensors with multi‐sensory detection capabilities will streamline integrated systems and simplify the integration process. Herein, dual‐mode temperature and pressure sensors based on PEDOT: PSS/CNTs/CNF/MXene (PCCM) is established. In terms of temperature sensing, the aerogel structure and introduction of MXene provide ultra‐low thermal conductivity, ensuring a stable temperature gradient. The addition of CNTs forms an excellent conductive network, significantly enhancing temperature sensing performance and achieving a maximum Seebeck coefficient of 28.2 µV K −1 , the introduction of MXene ensures PCCM the output electrical signal has ultra‐low noise and a high signal‐to‐noise ratio, allowing the detection of temperature differences as small as 0.05 K. Regarding pressure sensing, the sensitivity exhibited in the low‐pressure range (0–4 kPa) is −11.44% kPa −1 . Additionally, MXene significantly increases the sensor's electrical conductivity, reducing electron scattering and obstacles, shortening the response and recovery times (120 ms) for pressure measurements, and combining with CNTs/CNF increasing the hardness of the PCCM sensor, thereby expanding the pressure measurement range (0–20 kPa). It also highlights its promising potential for skin‐like sensing and human–computer interaction applications by developing a multimodal intellectual panel. This work provides a simple and scalable fabrication method to design high‐performance multifunctional sensors for various applications, such as e‐skin and robotics.

Advanced Materials TechnologiesVol. 10(11)
Tianjin Fire Research Institute (CN), University College London (GB), South China University of Technology (CN), UCLouvain (BE)
National Natural Science Foundation of China, Natural Science Foundation of Guangdong Province, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 9%
Advanced Sensor and Energy Harvesting Materials
3.37
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