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September 28, 2025Small13 citations

Construction of Dual Cross‐Linked Conductive Hydrogels: Combining Toughness, Anti‐Swelling, And Self‐Healing Properties to Achieve Amphibious Multifunctional Sensing

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JLJiamin LiuCWChuanqi WangTXTing Xie

Key Points

  • The hydrogel shows excellent mechanical properties with a tensile strength of 0.92 MPa and toughness of 3.35 MJ m − 3.
  • It has a conductivity of 3.28 S m −1 and a self-healing efficiency reaching 99.17%, indicating impressive performance.
  • Using polyacrylic acid and polyvinyl alcohol with Zr⁴⁺ metal chelation, this dual-network hydrogel enhances durability and functionality.
  • The sensor array, utilizing machine learning algorithms, allows for accurate real-time monitoring of movements in simulated marine conditions.

Abstract

Abstract Conductive hydrogels attract much attention in applications such as flexible electronics and wearable sensors. However, the swelling characteristics of conductive hydrogels in aqueous environments not only limit their long‐term application but also adversely affect their performance. This study has developed a tough, anti‐swelling, highly conductive dual‐network water gel. Polyacrylic acid (PAA) and polyvinyl alcohol (PVA) are used as the backbone, with Zr⁴⁺ introduced to form metal chelation with the carboxyl groups of acrylic acid (AA), and borax forming a dynamic borate crosslinking structure with the PVA network. The prepared hydrogel exhibits a tensile strength of up to 0.92 MPa, toughness of 3.35 MJ m − 3 , a conductivity of 3.28 S m −1 , and excellent self‐healing capabilities (with a self‐healing efficiency of up to 99.17%). Its internal multi‐crosslinked structure gives it excellent mechanical properties and swelling resistance in marine environments, providing the conditions for hydrogel sensor (PAZr‐4 sensor) to function as highly efficient amphibious sensors. The PZAr‐4 sensor is used to monitor human movement in a simulated seawater environment. At the same time, a sensor array is constructed using this hydrogel as the basic unit. It is combined with machine learning algorithms to accurately and in real time track the movement of objects on its surface.

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Cite This Study

Liu et al. (2025) studied this question.

synapsesocial.com/papers/68d90a0f41e1c178a14f6d28https://doi.org/10.1002/smll.202509549
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