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A Photolysis-Assist Molecular Communication for Tumor Biosensing

Molecular communication (MC) is a promising bioinspired paradigm for exchanging molecule information among nanomachines. In this paper, we propose a synchronization-assist photolysis MC system that aims to transmit the biosensing signal of the tumor microenvironment, facilitated by mitigating redund...

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Detalles Bibliográficos
Autores principales: Sun, Yue, Bian, Huafeng, Chen, Yifan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003473/
https://www.ncbi.nlm.nih.gov/pubmed/35408108
http://dx.doi.org/10.3390/s22072495
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author Sun, Yue
Bian, Huafeng
Chen, Yifan
author_facet Sun, Yue
Bian, Huafeng
Chen, Yifan
author_sort Sun, Yue
collection PubMed
description Molecular communication (MC) is a promising bioinspired paradigm for exchanging molecule information among nanomachines. In this paper, we propose a synchronization-assist photolysis MC system that aims to transmit the biosensing signal of the tumor microenvironment, facilitated by mitigating redundant molecules for improved bit error rate (BER) performance. Benefits from biocompatible MC, biosensors could transmit biosensing signals of the tumor in vivo instead of converting them to electrical signals. Due to diffusion motion’s slow and stochastic nature, intersymbol interference (ISI), resulting from previous symbols’ residual information molecules, inevitably occurs in diffusion-based MC. ISI is one of the challenges in diffusion-based MC, which significantly impacts signal detection. Inspired by on–off keying (OOK) modulation, the proposed modulation implements a switch of molecules and light alternatively. The light emitted is triggered by a synchronization signal, and the photolysis reactions could reduce the redundant molecules. An expression for the relevant channel impulse response (CIR) is derived from a hybrid channel model of diffusion and photolysis reaction. In this paper, we implement the maximum posterior estimation scheme to find the optimal decision threshold and analysis the BER performance in terms of different time intervals of the system. Numerical simulations demonstrate that the proposed method can improve the channel capacity and BER performance. We believe that our work may pave the way for MC application in biosensing.
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spelling pubmed-90034732022-04-13 A Photolysis-Assist Molecular Communication for Tumor Biosensing Sun, Yue Bian, Huafeng Chen, Yifan Sensors (Basel) Article Molecular communication (MC) is a promising bioinspired paradigm for exchanging molecule information among nanomachines. In this paper, we propose a synchronization-assist photolysis MC system that aims to transmit the biosensing signal of the tumor microenvironment, facilitated by mitigating redundant molecules for improved bit error rate (BER) performance. Benefits from biocompatible MC, biosensors could transmit biosensing signals of the tumor in vivo instead of converting them to electrical signals. Due to diffusion motion’s slow and stochastic nature, intersymbol interference (ISI), resulting from previous symbols’ residual information molecules, inevitably occurs in diffusion-based MC. ISI is one of the challenges in diffusion-based MC, which significantly impacts signal detection. Inspired by on–off keying (OOK) modulation, the proposed modulation implements a switch of molecules and light alternatively. The light emitted is triggered by a synchronization signal, and the photolysis reactions could reduce the redundant molecules. An expression for the relevant channel impulse response (CIR) is derived from a hybrid channel model of diffusion and photolysis reaction. In this paper, we implement the maximum posterior estimation scheme to find the optimal decision threshold and analysis the BER performance in terms of different time intervals of the system. Numerical simulations demonstrate that the proposed method can improve the channel capacity and BER performance. We believe that our work may pave the way for MC application in biosensing. MDPI 2022-03-24 /pmc/articles/PMC9003473/ /pubmed/35408108 http://dx.doi.org/10.3390/s22072495 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Sun, Yue
Bian, Huafeng
Chen, Yifan
A Photolysis-Assist Molecular Communication for Tumor Biosensing
title A Photolysis-Assist Molecular Communication for Tumor Biosensing
title_full A Photolysis-Assist Molecular Communication for Tumor Biosensing
title_fullStr A Photolysis-Assist Molecular Communication for Tumor Biosensing
title_full_unstemmed A Photolysis-Assist Molecular Communication for Tumor Biosensing
title_short A Photolysis-Assist Molecular Communication for Tumor Biosensing
title_sort photolysis-assist molecular communication for tumor biosensing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003473/
https://www.ncbi.nlm.nih.gov/pubmed/35408108
http://dx.doi.org/10.3390/s22072495
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