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August 11, 2025Advanced Functional Materials15 citations

Ultrastretchable and Recyclable Ionogels with Hierarchical Dynamic Bonds for Respiratory Monitoring

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QZQi ZhouSZShuai ZhouDPDébora Puglia

Key Points

  • Ionogels demonstrate exceptional mechanical performance, with tensile strains exceeding 15,000% and toughness up to 20.3 MJ m −3.
  • A respiratory monitoring system effectively utilizes reliable conductivity from the ionogels and deep learning for real-time detection.
  • The study achieved impressive energy dissipation efficiency above 80%, highlighting the effectiveness of dynamic bonds in ionic clusters.
  • These ionogels exhibit a remarkable self‐healing efficiency of 95.7% and are designed for green recyclability, supporting sustainability.

Abstract

Abstract Ionogels have shown tremendous potential in flexible electronics applications, such as electronic skin, human‐machine interfaces, and soft robotics. Here, the multifunctional polythioctic acid (PTA)‐ionic liquid supramolecular ionogels are constructed by combining hydroxypropyl celluloses with hierarchical dynamic disulfide, Zn 2+ coordination, and hydrogen bonds. As a result, the ionogels exhibit exceptional mechanical performance, with the tensile strains exceeding 15 000% and toughness up to 20.3 MJ m −3 , as well as superior damping properties with energy dissipation efficiency above 80% and high loss factors of 1.67. These excellent characteristics arise from a multi‐gradient energy dissipation mechanism, in which the progressive rupture of aggregated ionic clusters is combined with the sequential dissociation of hierarchical dynamic bonds. More importantly, based on the reliable conductivity, a respiratory monitoring system for patients with respiratory diseases is constructed by integrating the ionogel with deep learning techniques, which enables real‐time detection and rapid response to breathing patterns to ensure patient safety. Furthermore, the ionogels demonstrate high self‐healing efficiency (95.7%) and green recyclability as well.

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Cite This Study

Zhou et al. (2025) studied this question.

synapsesocial.com/papers/68a360d60a429f7973328dc0https://doi.org/10.1002/adfm.202512398
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