journal article·2023-05-26Open access

Graphene and Poly(3,4-ethylenedioxythiophene)–Polystyrene Sulfonate Hybrid Nanostructures for Input/Output Bioelectronics

Raghav Garg, Gaurav Balakrishnan, Reem B. Rashid, Samuel A. Gershanok, Daniel San Roman, Yingqiao Wang, Peter C. Kouassi, Jonathan Rivnay, Tzahi Cohen-Karni

ACS Applied Nano Materials· Volume 6· Issue 10

Abstract

High Resolution Image Download MS PowerPoint Slide The ability to sense and stimulate cellular and tissue electrophysiology is fundamental to input/output bioelectronics. Their functionality is primarily governed by the structural and functional properties of the constituent electrode materials. Conventional electrode materials are hindered by their two-dimensional topology, high electrochemical impedances, low charge injection capacities, and limited stability over chronic timescales. Here, we propose a strategy for obtaining high-surface-area hybrid-nanomaterial for efficient I/O bioelectronics by conformally templating conductive polymer poly(3,4-ethylenedioxythiophene)–polystyrene sulfonate (PEDOT:PSS) onto nanowire-templated three-dimensional (3D) fuzzy graphene (NT-3DFG). The result is a high-performance electrode material that can leverage the exceptional surface area of NT-3DFG and the volumetric charge storage properties of PEDOT:PSS. Owing to its high surface area, NT-3DFG microelectrodes exhibit lower electrode impedance and up to 35-fold greater charge injection capacity (CIC) compared to conventional metal microelectrodes. Conformally templating PEDOT:PSS onto NT-3DFG further reduces electrode impedance and enhances CIC by 125-fold compared to conventional metal microelectrodes. Moreover, the NT-3DFG-based nanomaterials exhibit high functional stability. Our results highlight the importance of extrapolating electrode topography to 3D and developing hybrid nanomaterials for miniaturized microelectrodes for functional bioelectronics.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Neuroscience and Neural Engineering · Conducting polymers and applications · Advanced Sensor and Energy Harvesting Materials

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

Affiliations

Department of Materials Science and Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States

Department of Biomedical Engineering, Northwestern University, Evanston, Illinois 60208, United States

Simpson Querrey Institute, Northwestern University, Evanston, Illinois 60611, United States

Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States

Funding

Defense Advanced Research Projects Agency

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