Graphene-based cardiac sensors and actuators.
| Autor: | Savchenko A; Nanotools Bioscience, La Jolla, CA, United States., Kireev D; Microelectronics Research Center, Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, United States., Yin RT; Department of Biomedical Engineering, The George Washington University, Washington, DC, United States., Efimov IR; Department of Biomedical Engineering, McCormick School of Engineering and Applied Science, Northwestern University, Chicago, IL, United States., Molokanova E; Nanotools Bioscience, La Jolla, CA, United States.; NeurANO Bioscience, La Jolla, CA, United States. |
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| Jazyk: | angličtina |
| Zdroj: | Frontiers in bioengineering and biotechnology [Front Bioeng Biotechnol] 2023 May 15; Vol. 11, pp. 1168667. Date of Electronic Publication: 2023 May 15 (Print Publication: 2023). |
| DOI: | 10.3389/fbioe.2023.1168667 |
| Abstrakt: | Graphene, a 2D carbon allotrope, is revolutionizing many biomedical applications due to its unique mechanical, electrical, thermal, and optical properties. When bioengineers realized that these properties could dramatically enhance the performance of cardiac sensors and actuators and may offer fundamentally novel technological capabilities, the field exploded with numerous studies developing new graphene-based systems and testing their limits. Here we will review the link between specific properties of graphene and mechanisms of action of cardiac sensors and actuators, analyze the performance of these systems from inaugural studies to the present, and offer future perspectives. Competing Interests: AS and EM are co-founders of Nanotools Bioscience, a start-up company developing novel graphene-based bioapplications. IE is co-founder of Cardialen and NuSera Biosystems, which develop implantable and interventional cardiac devices. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2023 Savchenko, Kireev, Yin, Efimov and Molokanova.) |
| Databáze: | MEDLINE |
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