PolyGraph – Flexible, Biocompatible & Electrically Optimized Graphene‐Polymer Composites for Next‐Generation Neural Interfaces

for a 100 ms pulse), enhanced by NaOH surface roughening and AuPd coating. Leveraging their processability, PolyGraph composites are fabricated into flexible, individually isolated microneedle electrode arrays with biomimetic soft hyaluronic acid backings. These arrays demonstrate bidirectional neural interfacing capabilities, enabling both the delivery of controlled stimulation pulses in physiological buffer and high-resolution neuronal recording in murine brain slices, with machine learning-based event classification. Together, these advances establish PolyGraph as an optimal material platform for next-generation brain-computer interfaces and soft bioelectronic devices.

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Publication Details

Journal
Advanced Healthcare Materials
Published
2026-05-12
DOI
https://doi.org/10.1002/adhm.202505076
Primary Topic
Neuroscience and Neural Engineering
Type
article
Field-Weighted Citation Impact
0.00
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article

PolyGraph – Flexible, Biocompatible & Electrically Optimized Graphene‐Polymer Composites for Next‐Generation Neural Interfaces

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Advanced Healthcare Materials
Neuroscience and Neural Engineering
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PolyGraph – Flexible, Biocompatible & Electrically Optimized Graphene‐Polymer Composites for Next‐Generation Neural Interfaces

Jonathan N. Coleman, Cian O’Connor, Omar Mamad, Jack Maughan, Ian Woods, Eoin Caffrey, Fergal J. O’Brien, Pablo Quintana-Sarti, Tian Carey, Adrian Dervan, Alejandro López Valdés, Jose M. Munuera, Maeve A. Caldwell
article en

Abstract

for a 100 ms pulse), enhanced by NaOH surface roughening and AuPd coating. Leveraging their processability, PolyGraph composites are fabricated into flexible, individually isolated microneedle electrode arrays with biomimetic soft hyaluronic acid backings. These arrays demonstrate bidirectional neural interfacing capabilities, enabling both the delivery of controlled stimulation pulses in physiological buffer and high-resolution neuronal recording in murine brain slices, with machine learning-based event classification. Together, these advances establish PolyGraph as an optimal material platform for next-generation brain-computer interfaces and soft bioelectronic devices.

Advanced Healthcare Materials
Royal College of Surgeons in Ireland (IE), Trinity College Dublin (IE), Instituto Nacional del Carbón (ES), Advanced Materials and BioEngineering Research (IE)
Openalex Percentile: Top 7%
Neuroscience and Neural Engineering
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