Nanomaterial-Enabled Sensing for Coupling of Implantable Bcis and Prosthesis

Authors

  • Zimo Chen School of Materials Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China

DOI:

https://doi.org/10.54097/ydt6kj53

Keywords:

Implantable brain-computer interfaces (BCI); Nanomaterials; Neural Prosthesis; Closed-loop control.

Abstract

Amputation caused by trauma, vascular diseases, etc., has created a global demand for high-performance prosthesis technology. Traditional electromyographic prostheses are limited by low signal fidelity and a lack of natural feedback, while implantable brain-computer interfaces still face bottlenecks such as insufficient signal stability and biocompatibility. Nanomaterials offer new possibilities to break through this dilemma. This article reviews the role of nanomaterial-enabled sensing technology in the collaborative control of implantable brain-computer interfaces and neural prostheses. The key mechanisms in improving electrochemical performance, matching mechanical flexibility, and regulating biological activity are analyzed emphatically. Through the representative studies of graphene, MXene, liquid metal, and biological hybrid interfaces, the significant advantages of nanostructures in reducing impedance, improving signal-to-noise ratio, and long-term stability are demonstrated, and the performance gain and closed-loop control potential in cross-scale systems are discussed. This paper summarizes that implanted electrodes can achieve a high signal-to-noise ratio, low delay, and multi-channel stable acquisition, but the problem of signal attenuation and biocompatibility is still prominent under long-term implantation conditions. In the future, collaborative optimization at the material and system levels is still needed. At the same time, this paper points out the emerging directions such as self-healing electrodes, bionic closed-loop systems, and organoid interfaces, which will promote brain-computer interfaces to be clinically feasible and natural interaction.

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References

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Published

22-01-2026

How to Cite

Chen, Z. (2026). Nanomaterial-Enabled Sensing for Coupling of Implantable Bcis and Prosthesis. Highlights in Science, Engineering and Technology, 160, 694-700. https://doi.org/10.54097/ydt6kj53