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Computer Simulation of a Surface Charge Nanobiosensor with Internal Signal Integration
The ionized states of molecular analytes located on solid surfaces require profound investigation and better understanding for applications in the basic sciences in general, and in the design of nanobiosensors, in particular. Such ionized states are induced by the interactions of molecules between t...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8533784/ https://www.ncbi.nlm.nih.gov/pubmed/34677353 http://dx.doi.org/10.3390/bios11100397 |
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author | Dyubo, Dmitry Tsybin, Oleg Yu. |
author_facet | Dyubo, Dmitry Tsybin, Oleg Yu. |
author_sort | Dyubo, Dmitry |
collection | PubMed |
description | The ionized states of molecular analytes located on solid surfaces require profound investigation and better understanding for applications in the basic sciences in general, and in the design of nanobiosensors, in particular. Such ionized states are induced by the interactions of molecules between them in the analyzed substance and with the target surface. Here, computer simulations using COMSOL Multiphysics software show the effect of surface charge density and distribution on the output generation in a dynamic PIN diode with gate control. This device, having built-in potential barriers, has a unique internal integration of output signal generation. The identified interactions showed the possibility of a new design for implementing a nanobiosensor based on a dynamic PIN diode in a mode with surface charge control. |
format | Online Article Text |
id | pubmed-8533784 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-85337842021-10-23 Computer Simulation of a Surface Charge Nanobiosensor with Internal Signal Integration Dyubo, Dmitry Tsybin, Oleg Yu. Biosensors (Basel) Article The ionized states of molecular analytes located on solid surfaces require profound investigation and better understanding for applications in the basic sciences in general, and in the design of nanobiosensors, in particular. Such ionized states are induced by the interactions of molecules between them in the analyzed substance and with the target surface. Here, computer simulations using COMSOL Multiphysics software show the effect of surface charge density and distribution on the output generation in a dynamic PIN diode with gate control. This device, having built-in potential barriers, has a unique internal integration of output signal generation. The identified interactions showed the possibility of a new design for implementing a nanobiosensor based on a dynamic PIN diode in a mode with surface charge control. MDPI 2021-10-16 /pmc/articles/PMC8533784/ /pubmed/34677353 http://dx.doi.org/10.3390/bios11100397 Text en © 2021 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 Dyubo, Dmitry Tsybin, Oleg Yu. Computer Simulation of a Surface Charge Nanobiosensor with Internal Signal Integration |
title | Computer Simulation of a Surface Charge Nanobiosensor with Internal Signal Integration |
title_full | Computer Simulation of a Surface Charge Nanobiosensor with Internal Signal Integration |
title_fullStr | Computer Simulation of a Surface Charge Nanobiosensor with Internal Signal Integration |
title_full_unstemmed | Computer Simulation of a Surface Charge Nanobiosensor with Internal Signal Integration |
title_short | Computer Simulation of a Surface Charge Nanobiosensor with Internal Signal Integration |
title_sort | computer simulation of a surface charge nanobiosensor with internal signal integration |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8533784/ https://www.ncbi.nlm.nih.gov/pubmed/34677353 http://dx.doi.org/10.3390/bios11100397 |
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