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Open Access Paper Issue
Patagonian toothfish-inspired aluminum coordination hydrogel sensors for real-time rainfall monitoring
International Journal of Extreme Manufacturing 2025, 7(4)
Published: 25 March 2025
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Compared with traditional rain gauges and weather radars, hydrogel flexible electronic sensor capable of responding directly to rainfall events with promptness and authenticity, shows great prospects in real-time rainfall monitoring. Aluminum coordination hydrogel (Al-HG), one of the most qualified sensors suitable for rainfall monitoring, however, is currently impeded from widespread application by its weak mechanical properties due to the low binding strength between Al3+ and functional ligands. Herein, inspired by the antifreeze proteins (AFPs) that protect those Patagonian toothfishes by strongly binding to ice crystals at freezing temperatures, a low temperature-induced strategy is introduced to promote more and stronger ligand carboxyls firm combination with Al3+, thus forming a high-coordinated structure to deal with this challenge. Expectedly, the whole mechanical performance of the product Al-HGF1/F2 obtained by the low temperature-induced strategy is improved. For example, the tensile fracture toughness and the maximum compressive stress of Al-HGF1/F2 are 1.66 MJ·m−3 and 12.01 MPa, approximately twice those of the sample Al-HGF3/F0 obtained by traditional soaking method (0.86 MJ·m−3 and 7.38 MPa, respectively). Coupled with its good biocompatibility, ionic conductivity, and sensing ability, Al-HGF1/F2 demonstrates promising application for real-time rainfall monitoring in discrepant rainfall intensities, different zones, and even under extreme environments. This work aims to offer a stride toward mechanically robust aluminum coordination hydrogel sensors for real-time rainfall monitoring as well as provide insights into flood prevention and disaster mitigation.

Research Article Issue
Multifunctional electroactive bio-adhesive for robustly-integrated wound therapy and postoperative wound-status warning and assessment
Nano Research 2024, 17(5): 4359-4370
Published: 24 January 2024
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Wound abnormalities such as secondary wound laceration and inflammation are common postoperative health hazards during clinical procedures. The continuous treatment, healing induction, and real-time visualization of wound status and complications, including wound re-tearing, inflammation, and morphology, are key focal points for comprehensive healthcare. Herein, an on-demand quadruple energy dissipative strategy was proposed for the nanoengineering of a physically and chemically synergistic double-layer gelatin-based bio-adhesive (DLGel) by combining a multi-network adhesive layer and a versatile electroactive energy dissipative layer based on contrivable interlocking micro-pillar arrays and crosslinked polymer chains. The subtly multiple energy dissipation designs enable DLGel with robust adhesive strength to omnipotently wet and dynamic tissue, providing a basis for reliable wound closure. DLGel achieves comprehensive wound-healing induction through electrical stimulation and possesses reversible underwater light/thermal adhesion, excellent hemostatic performance, outstanding antimicrobial properties, and self-repair capability. Furthermore, a novel deep-learning strategy is creatively established to respond to mechanical deformation due to wound anomalies. This strategy translates biological information into visual graphics, providing real-time early warning and assessment of postoperative wound-abnormality/-morphology, such as laceration, inflammation, and necrosis. Therefore, DLGel and its associated signal collection and processing protocol enable the integration of reliable wound closure, wound healing, and real-time postoperative wound-status warning and assessment within the unobservable and undetectable “black box” regions in a context of non-clinical comprehensive therapy.

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