Multimodal Platforms for Light‐Mediated Organic Bioelectronics

Advanced Materials Interfaces, vol. 12

Abstract

Abstract The development of bioelectronic devices has significantly advanced the field of clinical diagnosis and therapy. Recent progress in light technology has attracted considerable attention as a promising approach for wireless modulation of biological functions. In addition to classic electrical interaction, the integration of optics in bioelectronics introduces new complementary paths for interfacing cells. In this perspective article, the working principle of optobioelectronics, is discussed highlighting the advantages of using organic materials. Then, an overview of the achievements are provided in terms of electrical and molecular regulation of biological processes, with a special focus on devices based on poly(3‐hexylthiophene) (P3HT) and poly(3,4‐ethylenedioxythiophene):poly(styrene sulfonate) (PEDOT:PSS). A multimodal platform that combines different classes of light‐responsive organic materials to create a highly dynamic interface is finally envisioned. It is suggested that this approach will enable the seamless integration of bioelectronics with biological tissues and the creation of a stable communication pathway.

Authors 4

1. Mehdi Ravandeh Aachen Neuroelectronic Interfaces Faculty of Electrical Engineering and IT

   Forschungszentrum Jülich · Christian-Albrechts-Universität zu Kiel · RWTH Aachen University

   Affiliation as printed

   Bio‐Inspired Computation Department of Electrical and Information Engineering University of Kiel 24143 Kiel Germany

   Institute of Biological Information Processing IBI‐3 Forschungszentrum Jülich 52428 Jülich Germany

   Neuroelectronic Interfaces Faculty of Electrical Engineering and IT RWTH 52074 Aachen Germany

2. Luisa Petti

   Free University of Bozen-Bolzano

   Affiliation as printed

   Faculty of Engineering Free University of Bolzano‐Bozen Bolzano 39100 Italy

3. Francesca D’Elia corresponding Aachen Neuroelectronic Interfaces Faculty of Electrical Engineering and IT

   Forschungszentrum Jülich · RWTH Aachen University

   Affiliation as printed

   Institute of Biological Information Processing IBI‐3 Forschungszentrum Jülich 52428 Jülich Germany

   Neuroelectronic Interfaces Faculty of Electrical Engineering and IT RWTH 52074 Aachen Germany

4. Francesca Santoro corresponding Aachen Neuroelectronic Interfaces Faculty of Electrical Engineering and IT

   Forschungszentrum Jülich · RWTH Aachen University

   Affiliation as printed

   Institute of Biological Information Processing IBI‐3 Forschungszentrum Jülich 52428 Jülich Germany

   Neuroelectronic Interfaces Faculty of Electrical Engineering and IT RWTH 52074 Aachen Germany