Highly conductive and stretchable nanostructured ionogels for 3D printing capacitive sensors with superior performance
Xiangnan He,
Biao Zhang,
Qingjiang Liu,
Hao Chen,
Jianxiang Cheng,
Bingcong Jian,
Hanlin Yin,
Honggeng Li,
Ke Duan,
Jianwei Zhang and
Qi Ge ()
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Xiangnan He: Southern University of Science and Technology
Biao Zhang: Northwestern Polytechnical University
Qingjiang Liu: Southern University of Science and Technology
Hao Chen: Southern University of Science and Technology
Jianxiang Cheng: Southern University of Science and Technology
Bingcong Jian: Southern University of Science and Technology
Hanlin Yin: Southern University of Science and Technology
Honggeng Li: Southern University of Science and Technology
Ke Duan: National University of Defense Technology
Jianwei Zhang: National University of Defense Technology
Qi Ge: Southern University of Science and Technology
Nature Communications, 2024, vol. 15, issue 1, 1-12
Abstract:
Abstract Ionogels are promising material candidates for ionotronics due to their excellent ionic conductivity, stretchability, and thermal stability. However, it is challenging to develop 3D printable ionogels with both excellent electrical and mechanical properties. Here, we report a highly conductive and stretchable nanostructured (CSN) ionogel for 3D printing ionotronic sensors. We propose the photopolymerization-induced microphase separation strategy to prepare the CSN ionogels comprising continuous conducting nanochannels intertwined with cross-linked polymeric framework. The resultant CSN ionogels simultaneously achieves high ionic conductivity (over 3 S m−1), high stretchability (over 1500%), low degree of hysteresis (0.4% at 50% strain), wide-temperature-range thermostability (−72 to 250 °C). Moreover, its high compatible with DLP 3D printing enables the fabrication of complex ionogel micro-architectures with high resolution (up to 5 μm), which allows us to manufacture capacitive sensors with superior sensing performances. The proposed CSN ionogel paves an efficient way to manufacture the next-generation capacitive sensors with enhanced performance.
Date: 2024
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DOI: 10.1038/s41467-024-50797-w
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