Journal
CARBON
Volume 195, Issue -, Pages 364-371Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.carbon.2022.04.033
Keywords
Stretchable conductive polymer composites; Multimodal sensors; Stretchability; Porous structure; Crack structure
Funding
- Zhejiang Provincial Natural Science Foundation of China [LR20E030003]
- National Natural Science Foundation of China [52073078, 52103079]
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The study presents a new multimodal sensor based on porous conductive polymer composites, which demonstrates ultralow detection limit and ultrawide sensing range. The sensor has tremendous potentials in detecting strain, pressure, temperature, and even monitoring respiration.
Conductive polymer composites (CPCs) can be designed into stretchable sensors because of their flexibility and responses to external stimuli. However, sensors based on traditional CPCs normally exhibit unsatisfactory detection limits and narrow sensing ranges, which astrict their practical applications. Herein, we designed a new multimodal sensor based on porous CPCs composed of thermoplastic polyurethane (TPU) and carbon nanotubes (CNTs). The sensor can be used to detect the stimuli of strain, pressure, and temperature. As a strain sensor, ultralow detection limit (0.01%) and ultrawide sensing range (0.01%-900%) are achieved simultaneously, owing to the highly stretchable TPU skeleton anchored with a microcracked CNT conductive layer. To our knowledge, the strain sensor possesses the lowest detection limit and the widest sensing range compared to previously reported CPC-based strain sensors. Meanwhile, this sensor can also output repeatable electrical responses to different pressure stimuli due to the reversible variation of the porous TPU skeleton and CNT networks during cyclic compression and release process. More interestingly, the as-prepared sensor is also capable of monitoring respiration because of its excellent linear negative temperature coefficient effect. It is credible that this highly stretchable sensor possesses tremendous potentials in human motion monitoring, personal healthcare monitoring, and human-computer interaction.
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