journal article·2026-04Open access

Adhesive Double‐Network Granular Organogel E‐Skin

Antonia Georgopoulou, Benhui Dai, Kadence Shen Yu Chow, Josie Hughes, Esther Amstad

Advanced Materials Technologies· Volume 11· Issue 7

Abstract

ABSTRACT Human skin offers multimodal sensing capabilities including tactile, thermal, and chemical detection, a feature that can be partially replicated using ionic hydrogels to create electronic skin (e‐skin). For e‐skin to properly function, it must firmly adhere to substrates. This can be achieved with stiff screws or fastener. However, the mismatch between the stiff screws or fasteners and the soft e‐skin typically compromises the robustness of the structure. Achieving reliable adhesion to the diverse range of soft substrates encountered in soft robotics remains challenging. Typical adhesives are rather soft such that they can adapt their shape to the surface roughness of the substrate. Yet, their softness risks cohesive failures. Here, we present a double‐network granular organogel (DNGOG) that integrates microfragments, which can interact with hydrophobic substrates with a secondary soft polymer network rich in ionic and hydrogen bonds. This architecture combines strong, reversible adhesion to a wide range of hydrophilic and hydrophobic substrates with a stiffness that prevents premature cohesive failures within the adhesive. Thereby, the DNGOG‐based e‐skin can combine an adhesive strength of 1.9 MPa with a tensile strength of 1.0 MPa, overcoming the long‐standing adhesion‐strength compromise of soft adhesives. The ionic conductivity of the DNGOG enables this material to sense multiple stimuli vital to humans such as their pulse, respiration, temperature, and sweat, as well as tactile feedback in soft robotic systems. This multifunctional platform offers a promising route toward next‐generation wearable and robotic e‐skin technologies.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Hydrogels: synthesis, properties, applications · Polymer composites and self-healing

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Soft Materials Laboratory Institute of Materials (SMaL) École Polytechnique Fédérale de Lausanne Lausanne Switzerland

Swiss National Center for Competence in Research (NCCR) Bio‐inspired Materials University of Fribourg Chemin des Verdiers 4 Fribourg Switzerland

CREATE Lab Institute of Mechanical Engineering École Polytechnique Fédérale de Lausanne Lausanne Switzerland

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

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