.png){kind=icon}
.png){kind=icon}
Return
PolyGraph – Flexible, Biocompatible & Electrically Optimized Graphene-Polymer Composites for Next-Generation Neural Interfaces
.png){kind=icon}
OA
AI
J
I
C
P
E
J
T
A
A
O
M
F
J
DOI：10.1002/adhm.202505076.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Neural interfacing materials must deliver exceptional electrochemical performance, while integrating safely with the central nervous system. In this study we develop PolyGraph, a flexible, conductive, and biocompatible graphene-polycaprolactone (PCL) nanocomposite designed to strike this balance, which enables fabrication of conformable multichannel microelectrode arrays. Optimized liquid-phase exfoliation produces conductive, biocompatible PVP-stabilized graphene nanosheets, which are incorporated into PCL to form flexible, processable composites – PolyGraph. This material demonstrates bio- and immuno-compatibility with sensitive primary and iPSC-derived neuronal and glial cells. PolyGraph achieves low impedance (∼1.6 Ω cm2 @ 1 kHz) and high charge injection capacity (11.7 mC/cm2 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.
Keywords:
biocompatible nanomaterials
electroactive biomaterials
flexible neural interfaces
graphene-polymer composites
neural stimulation
soft bioelectronics
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
9.6
Papers:
7.5K
Citations:
4.4W
View more organizations