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Highly stretchable gold nanobelts with sinusoidal structures for recording electrocorticograms.
Dianpeng Qi1, Zhiyuan Liu1,2, Mei Yu2
1School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore.
Advanced Materials (Deerfield Beach, Fla.)
|April 14, 2015
Summary
Rationally designed gold nanobelts function as durable, stretchable electrodes. These electrodes reliably recorded brain signals in rats after extensive use, demonstrating their potential for advanced neural interfaces.
Area of Science:
- Materials Science
- Neuroscience
- Nanotechnology
Background:
- Developing stable and flexible electrodes is crucial for advanced neural interfaces.
- Existing electrode materials often degrade under mechanical stress, limiting their long-term performance.
- Gold nanostructures offer unique electrical and mechanical properties for bioelectronic applications.
Purpose of the Study:
- To fabricate and characterize novel sinusoidal gold nanobelts as stretchable electrodes.
- To evaluate the mechanical stability and electrical performance of these nanobelts under cyclic strain.
- To demonstrate the feasibility of using these nanobelts for recording neural signals in vivo.
Main Methods:
- Sinusoidal gold nanobelts were fabricated using a rational design approach.
- The nanobelts were subjected to 10,000 cycles of stretching and relaxing to assess durability.
- Resistance changes under large deformation were measured.
- Intracranial electroencephalogram (EEG) and electrocorticogram (ECoG) signals were recorded from rats.
Main Results:
- The fabricated sinusoidal gold nanobelts exhibited excellent stretchability.
- No significant change in resistance was observed after 10,000 cyclic stretching/relaxing processes.
- Successful recording of intracranial EEG/ECoG signals from rats was achieved.
Conclusions:
- Sinusoidal gold nanobelts serve as highly stable and stretchable electrodes.
- These nanobelts are suitable for long-term neural signal recording in dynamic biological environments.
- This work presents a promising material for the development of next-generation neural interfaces.

