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February 2, 2026npj Flexible Electronics3 citationsOpen Access

3D micropatterning of PEDOT:PSS/Gelatin conductive hydrogels via two-photon lithography for soft bioelectronics

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MBMarco BuzioMGMartina GiniTSTom C. Schneider

Key Points

  • To develop soft 3D bioelectronic interfaces that mimic biological tissue properties for enhanced cell integration.
  • Blended PEDOT:PSS with methacrylate-modified gelatin to create hydrogels.
  • Used two-photon polymerization lithography for 3D micropatterning of the hydrogels.
  • Assessed the electrical and mechanical properties of the printed structures.
  • Achieved reduced electrical impedance in the conductive hydrogel blends.
  • Demonstrated soft mechanical properties suitable for biological applications.
  • Successfully used the 3D printed constructs for neuronal cell culture.

Abstract

Abstract The mechanical similarity between bioelectronic platforms and native tissue microenvironments is critical for successful cell-microdevice interfacing. Advances in high-resolution microfabrication have enabled the creation of 3D conductive microstructures; however, these approaches typically yield to structures that are electrically active but mechanically stiff relative to biological tissues. In this work, we present a strategy for the fabrication of soft 3D bioelectronic interfaces by blending PEDOT:PSS with a methacrylate-modified gelatin and leveraging two-photon polymerization lithography for micropatterning. Incorporating the conducting polymer into the hydrogel matrix resulted in reduced electrical impedance and exhibited soft mechanical properties both at the macro- and micro-scale. Here, the conductive hydrogel blends have been 3D printed, their versatility was assessed through different geometries and were used for neuronal cell culture. This approach enables the fabrication of soft neural interfaces with biomimetic architectures, using multimaterial blends, supporting improved electrical and mechanical integration at the cell-electrode interface.

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Cite This Study

Buzio et al. (2026) studied this question.

synapsesocial.com/papers/6980ff19c1c9540dea811c23https://doi.org/10.1038/s41528-026-00529-5
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