ArticleAdvanced materials (Deerfield Beach, Fla.)2026
Ion‑Mediated Structural Engineering of Hydrogel Interfaces for Tunable Mechanical and Analyte Diffusion Properties in Electrochemical Biosensors.
Article in Advanced materials (Deerfield Beach, Fla.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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1 citing paper in PubMed.
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15 authors.
Funding
Abstract
Advanced hydrogel interfaces exhibiting finely tuned mechanical characteristics and porosity are essential in wearable and implantable biosensors, mitigating tissue-device mismatches and controlling target analyte transport in biofluids. This work presents an ion-mediated structural engineering approach designed to meticulously regulate the porous architecture and mechanical robustness of poly(vinyl alcohol)-alginate hydrogels (PAH) through straightforward ionic modulation, effectively addressing inherent trade-offs between mechanical strength and analyte diffusion. Utilizing three complementary ionic mechanisms-salting-out, calcium ion chelation, and sequence-directed biomineralization-hydrogels with tailored porous microstructures are fabricated. The resulting hydrogels exhibit pore sizes ranging from 65 nm to 2.5 µm, mechanical moduli of 50-140 kPa, and controlled analyte diffusion behaviors. Leveraging this structural tunability, two exemplary glucose biosensors are demonstrated: a highly porous hydrogel-integrated wearable biosensor designed for rapid and sensitive glucose monitoring in sweat, and a densely structured hydrogel-integrated implantable biosensor optimized for robust and continuous glucose tracking in interstitial fluid. This innovative methodology elucidates critical interconnections between the hydrogel's ion-mediated microstructural architecture, its mechanical robustness and tunable diffusion characteristics, and the resulting biosensing performance optimized for wearable and implantable applications, thereby advancing the design paradigm for next-generation personalized biosensor interfaces.
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