Recycled Iontronic from Discarded Chewed Gum for Personalized Healthcare Monitoring and Intelligent Information Encryption

被引:39
作者
Cheng, Baochang [1 ,2 ]
Wu, Peiyi [1 ,2 ,3 ]
机构
[1] Fudan Univ, Dept Macromol Sci, State Key Lab Mol Engn Polymers, Shanghai 200433, Peoples R China
[2] Fudan Univ, Lab Adv Mat, Shanghai 200433, Peoples R China
[3] Donghua Univ, Coll Chem Chem Engn & Biotechnol, Ctr Adv Low Dimens Mat, State Key Lab Modificat Chem Fibers & Polymer Mat, Shanghai 201620, Peoples R China
基金
中国国家自然科学基金;
关键词
chewing gum; recycled iontronic sensor; cost-efficient; healthcare monitoring; information encryption;
D O I
10.1021/acsami.1c00402
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
With the explosive development of smart wearable devices, a serious situation that a large amount of energy waste and environmental pollution caused by electronic discarding needs to be solved urgently. Here, as a throwaway waste material, a chewed gum can be reused for the preparation of wearable iontronics simply. A new gum sensor was constructed by regularly stretching a chewed gum in 6 M NaCl aqueous or even a Chinese edible salt solution for increasing the ionic conductivity. This gum sensor can be shaped arbitrarily, and the preparation process is green, pollution-free, with low energy consumption, and repeatable. Herein, this gum sensor can be utilized for real-time human healthcare monitoring effectively (i.e., facial mood changes, finger flexion, long time walking, and continuous ankle movement) and shows a fast response time of 297 ms and a reliable cycling performance in monitoring body motions. Furthermore, the gum sensor (containing edible salt) can act as a signal transmitter for intelligent information encryption and transmission in the light of the international Morse code with excellent repeatability and stability. Hence, this work will greatly possess wide potential application prospects in wearable electronics and information encryption. This gum sensor also provides a ponderable option in the next generation of artificial intelligence devices, which can address the troubles of material selections in sensor preparation.
引用
收藏
页码:6731 / 6738
页数:8
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