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Published on: September 20, 2021
High-Hole-Mobility Fiber Organic Electrochemical Transistors for Next-Generation Adaptive Neuromorphic Bio-Hybrid
Paula Alarcon-Espejo1, Ruben Sarabia-Riquelme1, Giovanni Maria Matrone2
1Department of Chemical and Materials Engineering, Centre for Applied Energy Research, University of Kentucky, Lexington, KY, 40506, USA.
Researchers developed high-performance organic electrochemical transistors (OECTs) using advanced poly(3,4-ethylenedioxythiophene):polystyrene sulfonate (PEDOT:PSS) fibers. These functional fibers enable stable wearable bioelectronics and bio-hybrid devices with potential for neuromorphic technologies.
Area of Science:
- Materials Science
- Organic Electronics
- Bioelectronics
Background:
- Fibers are transitioning from passive components to active elements in smart fabrics.
- Poly(3,4-ethylenedioxythiophene):polystyrene sulfonate (PEDOT:PSS) fibers offer potential for wearable bioelectronics and neuromorphic applications.
- Challenges include forming stable electrodes on small, non-wettable fibers and scaling up fabrication.
Purpose of the Study:
- To develop high-performance, stable organic electrochemical transistors (OECTs) using PEDOT:PSS fibers.
- To enable continuous processing methods for scalable fiber fabrication.
- To demonstrate the potential of these fibers in bio-hybrid technologies.
Main Methods:
- Utilized synergistic effects between superior electrode/organic interfaces and fiber alignment.
- Employed continuous processing for fiber fabrication.
- Fabricated fiber-electrochemical neuromorphic organic devices (fiber-ENODes).
Main Results:
- Achieved PEDOT:PSS fiber-OECTs with stable contacts.
- Demonstrated a high µC* product of 1570.5 F cm-1 V-1 s-1.
- Obtained high hole mobility exceeding 45 cm2 V-1 s-1.
Conclusions:
- Continuous processing and improved interfaces enable high-performance PEDOT:PSS fiber-OECTs.
- Developed fiber-ENODes show synaptic weight updates in response to dopamine.
- These high-mobility fibers are promising for future bio-hybrid technologies and neuromorphic devices.

