Recyclable Dynamic Hydrogen Bonding and Disulfide Based Polymer‐Silver Nanoparticle Hybrid Triboelectric Nanogenerator for Artificial Intelligence‐Assisted High‐Precision Smart Insoles

Abstract With rapid advancement in the field of smart technology, reshapeable devices have garnered widespread interest. Liquid‐free flexible materials eliminate the risk of leakage thus enhancing user safety along with being recyclable. However, the poor network fluidity and difficulty in fully disconnecting cross‐links have limited its potential as a reshapeable device. In this work, silver nanoparticles (AgNPs) are doped into a physically cross‐linked dynamic linear polydimethylsiloxane network (PIAU) to develop a closed‐loop recyclable high‐dielectric nanocomposite. This nanocomposite exhibits moderate elastoviscosity‐transition temperature and spatial remodelability based on multiple types of reversible hydrogen bonds and S─Ag bonds. AgNPs are sprayed on the nanocomposite surface to form a conductive coating stabilized by S─Ag bonds at the polymer‐nano interface. Based on this refined assembly, an antibacterial and recyclable triboelectric nanogenerator (TENG) is developed and applied as a high‐precision smart insole. The insole with 16 TENG sensors, resulting in a simplified system that employs machine learning (ML) for personalized motion monitoring, including motion recognition and gait classification. Five algorithm models ensure the high accuracy of the system and enable it to further expand the abnormal gait alarm system. This work presents a new reliable and environmentally friendly strategy for the design of high‐performance sustainable smart devices.

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Publication Details

Journal
Advanced Functional Materials
Published
2025-02-19
DOI
https://doi.org/10.1002/adfm.202501277
Citations
9
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
6.07

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article

Recyclable Dynamic Hydrogen Bonding and Disulfide Based Polymer‐Silver Nanoparticle Hybrid Triboelectric Nanogenerator for Artificial Intelligence‐Assisted High‐Precision Smart Insoles

Lixin Sun, Jiongyao Xu, Long Gu, Richard Hoogenboom et al.
9 citations
Advanced Functional Materials
Advanced Sensor and Energy Harvesting Materials
6.07
article

Recyclable Dynamic Hydrogen Bonding and Disulfide Based Polymer‐Silver Nanoparticle Hybrid Triboelectric Nanogenerator for Artificial Intelligence‐Assisted High‐Precision Smart Insoles

Lixin Sun, Jiongyao Xu, Long Gu, Richard Hoogenboom, Vinita Dhaware, Zhe Wang, Kaiming Zhang, Yuetao Liu, Yi-Ming Chen, Yahui Wu
article en
9 citations

Abstract

Abstract With rapid advancement in the field of smart technology, reshapeable devices have garnered widespread interest. Liquid‐free flexible materials eliminate the risk of leakage thus enhancing user safety along with being recyclable. However, the poor network fluidity and difficulty in fully disconnecting cross‐links have limited its potential as a reshapeable device. In this work, silver nanoparticles (AgNPs) are doped into a physically cross‐linked dynamic linear polydimethylsiloxane network (PIAU) to develop a closed‐loop recyclable high‐dielectric nanocomposite. This nanocomposite exhibits moderate elastoviscosity‐transition temperature and spatial remodelability based on multiple types of reversible hydrogen bonds and S─Ag bonds. AgNPs are sprayed on the nanocomposite surface to form a conductive coating stabilized by S─Ag bonds at the polymer‐nano interface. Based on this refined assembly, an antibacterial and recyclable triboelectric nanogenerator (TENG) is developed and applied as a high‐precision smart insole. The insole with 16 TENG sensors, resulting in a simplified system that employs machine learning (ML) for personalized motion monitoring, including motion recognition and gait classification. Five algorithm models ensure the high accuracy of the system and enable it to further expand the abnormal gait alarm system. This work presents a new reliable and environmentally friendly strategy for the design of high‐performance sustainable smart devices.

Advanced Functional MaterialsVol. 35(28)
Qingdao University of Science and Technology (CN), Xidian University (CN), Ghent University (BE)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, China Scholarship Council
Openalex Percentile: Top 4%
Advanced Sensor and Energy Harvesting Materials
6.07
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