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Article

The Simulation of the Recharging Method Based on Solar Radiation for an Implantable Biosensor

1
School of Opto-Electronics, Beijing Institute of Technology, Beijing Key Laboratory for Precision Optoelectronic Measurement Instrument and Technology, Beijing 100081, China
2
School of Life Science, Beijing Institute of Technology, Beijing 100081, China
*
Author to whom correspondence should be addressed.
Academic Editor: Alexander Star
Sensors 2016, 16(9), 1468; https://doi.org/10.3390/s16091468
Received: 22 June 2016 / Revised: 27 August 2016 / Accepted: 7 September 2016 / Published: 10 September 2016
(This article belongs to the Section Biosensors)
A method of recharging implantable biosensors based on solar radiation is proposed. Firstly, the models of the proposed method are developed. Secondly, the recharging processes based on solar radiation are simulated using Monte Carlo (MC) method and the energy distributions of sunlight within the different layers of human skin have been achieved and discussed. Finally, the simulation results are verified experimentally, which indicates that the proposed method will contribute to achieve a low-cost, convenient and safe method for recharging implantable biosensors. View Full-Text
Keywords: implantable biosensors; solar radiation; sunlight; Monte Carlo method implantable biosensors; solar radiation; sunlight; Monte Carlo method
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MDPI and ACS Style

Li, Y.; Song, Y.; Kong, X.; Li, M.; Zhao, Y.; Hao, Q.; Gao, T. The Simulation of the Recharging Method Based on Solar Radiation for an Implantable Biosensor. Sensors 2016, 16, 1468. https://doi.org/10.3390/s16091468

AMA Style

Li Y, Song Y, Kong X, Li M, Zhao Y, Hao Q, Gao T. The Simulation of the Recharging Method Based on Solar Radiation for an Implantable Biosensor. Sensors. 2016; 16(9):1468. https://doi.org/10.3390/s16091468

Chicago/Turabian Style

Li, Yun, Yong Song, Xianyue Kong, Maoyuan Li, Yufei Zhao, Qun Hao, and Tianxin Gao. 2016. "The Simulation of the Recharging Method Based on Solar Radiation for an Implantable Biosensor" Sensors 16, no. 9: 1468. https://doi.org/10.3390/s16091468

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