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Updated: May 27, 2025

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Translating Extracellular Electron Transfer Activities with Organic Electrochemical Transistors
Published on: January 31, 2025
506
Translating Extracellular Electron Transfer Activities with Organic Electrochemical Transistors.
Yang Gao1, Yuchen Zhou2, Xudong Ji3
1McKetta Department of Chemical Engineering, University of Texas at Austin.
Journal of Visualized Experiments : Jove
|February 17, 2025
Summary
Microbial extracellular electron transfer (EET) was translated into electrical signals using organic electrochemical transistors (OECTs). This novel interface enables microbial biosensing and biocomputing applications.
Area of Science:
- Microbiology
- Bioelectronics
- Synthetic Biology
Background:
- Extracellular electron transfer (EET) links microbial metabolism to the environment, with key research models including Geobacter and Shewanella.
- EET-active species are increasingly recognized in fermentation and the human gut microbiome.
- Bridging biological and electronic systems offers potential for novel applications.
Purpose of the Study:
- To develop a protocol for translating microbial EET activity into detectable electrical signals using organic electrochemical transistors (OECTs).
- To demonstrate the biosensing and biocomputing capabilities of a hybrid OECT-microbial system.
- To establish a novel interface between biological systems and electronics.
Main Methods:
- Utilized organic electrochemical transistors (OECTs) with a poly(3,4-ethylenedioxythiophene): poly(styrenesulfonate) (PEDOT: PSS) channel.
- Demonstrated EET-driven de-doping of the OECT channel by Shewanella oneidensis.
- Employed transcriptional control of EET flux via genetic circuits for biosensing.
- Integrated plasmid-based Boolean logic gates within microbial cells for signal processing.
Main Results:
- Successfully translated microbial EET activity into measurable electrical signals via OECTs.
- Showcased biosensing of chemical stimuli by controlling EET flux with genetic circuits.
- Demonstrated biocomputing potential through cellular processing of environmental signals using logic gates.
- Established a functional interface between microbial EET and electronic devices.
Conclusions:
- The developed OECT-based system effectively translates microbial EET into electrical signals.
- This hybrid system possesses significant potential for high-throughput screening, biosensing, and biocomputing.
- This work opens new avenues for interfacing biological systems with electronic components.
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