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Versatile Neuromorphic Modulation and Biosensing based on N-type Small-molecule Organic Mixed Ionic-Electronic
Riping Liu1, Xiuyuan Zhu1, Jiayao Duan1
1Guangzhou Key Laboratory of Flexible Electronic Materials and Wearable Devices, Key Laboratory for Polymeric Composite and Functional Materials of Ministry of Education, School of Materials Science and Engineering, State Key Laboratory of Optoelectronic Materials and Technologies, Sun Yat-sen University, 510275, Guangzhou, P. R. China.
Researchers developed new small molecule organic mixed ionic-electronic conductors for bio-integrated neuromorphic hardware. These materials enable flexible synaptic behavior and neurotransmitter sensing, advancing artificial neural networks and bioelectronics.
Area of Science:
- Materials Science
- Neuroscience
- Electronics
Background:
- Organic mixed ionic-electronic conductors (OMIECs) are crucial for bio-integrated neuromorphic hardware.
- While polymeric OMIECs have advanced organic electrochemical neuronal synapses (OENS), small molecule OMIECs for OENS remain unrealized.
Purpose of the Study:
- To demonstrate a novel materials design for small molecule OMIECs enabling versatile synaptic behavior and neurotransmitter sensing.
- To explore the potential of n-type fused all-acceptor small molecules with optimized side chains for OENS applications.
Main Methods:
- Synthesized and characterized n-type fused all-acceptor small molecules with varying side chains.
- Evaluated synaptic behavior, neurotransmitter sensing capabilities, and ambient stability in solid and aqueous electrolytes.
- Simulated artificial neural network (ANN) performance using the developed materials.
Main Results:
- A butyl chain derivative (gNR-Bu) showed superior performance compared to existing n-type OMIECs based OENS.
- gNR-Bu exhibited enhanced crystallinity and ion bonding, leading to higher recognition accuracy, stable conductance, and improved ambient stability.
- Successfully realized n-type small-molecule OMIECs based OENS as a neuromorphic biosensor capable of detecting dopamine at sub-μM levels in aqueous electrolyte.
Conclusions:
- This work presents a new materials design strategy for small molecule OMIECs in OENS.
- The developed materials offer a promising platform for next-generation artificial neural networks and bioelectronics.
- The findings pave the way for advanced neuromorphic biosensors with enhanced sensitivity and stability.
