journal article·2025-12Open access

3D‐Printed Mixed Ionic‐Electronic Conductive Polymer Composites for Long‐Term Bioelectronic Sensing

Simone Bagatella, Heejung Roh, Marco Cavallaro, Raffaella Suriano, Marinella Levi, Aristide Gumyusenge

Advanced Materials Technologies· Volume 10· Issue 24

Abstract

Abstract Reliable, long‐term monitoring of health data is becoming increasingly essential in modern healthcare. While computational and machine learning capabilities continue to advance, the lack of lightweight, conformable, and customizable hardware remains a key limitation. In the context of heart health, traditional electrocardiogram (ECG) electrodes are rigid and often uncomfortable for continuous wear. Existing soft electrodes tend to be either cost‐prohibitive or unreliable over extended use. In this work, all‐polymer, 3D‐printed, highly stable, and conformable ECG patches are developed for long‐term signal acquisition. Through material optimization, composite materials with electrical conductivity up to 1.7 S cm −1 are developed, maintaining over 85% of their conductivity after 60 days of exposure to open air. These materials also exhibit remarkable stretchability (strain at break up to 253%) and high mechanical strength (tensile strength of 25 MPa). The formulated inks are fully compatible with 3D material extrusion techniques, significantly reducing manufacturing costs. The printed electrodes are flexible, stretchable, and capable of recording high‐quality ECG signals, performing comparably to state‐of‐the‐art metal electrodes, even after more than a month of use‐and‐store in open air.
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Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Conducting polymers and applications · Advanced Memory and Neural Computing

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

Affiliations

Department of Materials Science and Engineering Massachusetts Institute of Technology Cambridge MA 02139 USA

Department of Chemistry Materials and Chemical Engineering “Giulio Natta”, Politecnico di Milano Milano 20133 Italy

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