Design of Bio-Optical Transceiver for In Vivo Biomedical Sensor Applications

Author:

Makrakis Dimitrios1,Dambri Oussama Abderrahmane1ORCID,Hafid Abdelhakim Senhaji2

Affiliation:

1. School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON K1N 6N5, Canada

2. Department of Computer Science and Operations Research, University of Montreal, Montreal, QC H3T 1J4, Canada

Abstract

This paper presents an enhanced version of our previously developed bio-optical transceiver, presenting a significant advancement in nanosensor technology. Using self-assembled polymers, this nanodevice is capable of electron detection while maintaining biocompatibility, an essential feature for in vivo medical biosensors. This enhancement finds significance in the field of infectious disease control, particularly in the early detection of respiratory viruses, including high-threat pathogens such as SARS-CoV-2. The proposed system harnesses bioluminescence by converting electric signaling to visible blue light, effectively opening the path of linking nano-sized mechanisms to larger-scale systems, thereby pushing the boundaries of in vivo biomedical sensing. The performance evaluation of our technology is analytical and is based on the use of Markov chains, through which we assess the bit error probability. The calculated improvements indicate that this technology qualifies as a forerunner in terms of supporting the communication needs of smaller, safer, and more efficient manufactured sensor technologies for in vivo medical applications.

Publisher

MDPI AG

Reference31 articles.

1. The Internet of nano-things;Akyildiz;IEEE Wirel. Commun.,2010

2. The internet of bio-nano things;Akyildiz;IEEE Commun. Mag.,2015

3. A physical end-to-end model for molecular communication in nanonetworks;Pierobon;IEEE J. Sel. Areas Commun.,2010

4. ISI Mitigation Techniques in Molecular Communication;Tepekule;IEEE Trans. Mol. Biol. Multi-Scale Commun.,2015

5. Molecular Communication Using Brownian Motion with Drift;Kadloor;IEEE Trans. NanoBiosci.,2012

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