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Multiscale Simulation of Adsorption Based Microcantilever Biosensors for Radiation Exposure Effects
BACKGROUND: This article is focused on biological measurements based on molecular interactions. The specific biomarker implemented for radiation biosensor is FLT3, which bears changes in the body regarding radiation exposure. Experimental results of sensing vancomycin verify the overall results of t...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Institute of Genetic Engineering and Biotechnology
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7856398/ https://www.ncbi.nlm.nih.gov/pubmed/33542938 http://dx.doi.org/10.30498/IJB.2020.134636.2317 |
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author | Mollaei, Fouad Aliparast, Peiman Naghash, Abolghasem |
author_facet | Mollaei, Fouad Aliparast, Peiman Naghash, Abolghasem |
author_sort | Mollaei, Fouad |
collection | PubMed |
description | BACKGROUND: This article is focused on biological measurements based on molecular interactions. The specific biomarker implemented for radiation biosensor is FLT3, which bears changes in the body regarding radiation exposure. Experimental results of sensing vancomycin verify the overall results of two steps of numerical methods for different scales. OBJECTIVES: The aim is to provide adequate modeling procedures to predict sensory data. Multiscale modeling is implemented to simulate molecular interaction and its consequent micro mechanical effects. The method is implemented to calculate surface traction of microcantilever biosensor. MATERIALS AND METHODS: The method consists of molecular dynamics simulation of adsorption process by implementing classical mechanics theory to calculate the final response of the sensor as tip deflection. The sequential information transaction is assumed between the physical parameters of two governing scales. The numerical method consists of the location of particles providing for a nano-metric periodic boundary conditioned functionalized surface implemented, and the numerical thermodynamic formula is, in turn, use energy parameters to acquire macro-mechanical deflection of a specific microcantilever. Also, novel sensitivity analysis of the results as the adsorption process moves toward more saturated substrate provided. RESULTS: Verification of the simulation method for Vancomycin sensing results enjoys less than 20 percent of deviation regarding the experimental data. The standard deviation of 0.054 in the final expected response of the sensor is calculated as the accuracy of the radiation biosensor based on FLT3. CONCLUSIONS: The method is still to reach a correlation between the concentration of target molecules in solution and the number of adsorbed molecules per area of the sensor. A scaled correlation between sensor’s response and the amount of biomarker is found using tip deflection of a sample designed microcantilever. Around one micrometer deflection that can be read out using various conventional methods was observed at saturation of adsorption surface. The analyses provide adequate data to design a sensor capable of measuring the effect of cosmic radiation to the human body. |
format | Online Article Text |
id | pubmed-7856398 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | National Institute of Genetic Engineering and Biotechnology |
record_format | MEDLINE/PubMed |
spelling | pubmed-78563982021-02-03 Multiscale Simulation of Adsorption Based Microcantilever Biosensors for Radiation Exposure Effects Mollaei, Fouad Aliparast, Peiman Naghash, Abolghasem Iran J Biotechnol Research Article BACKGROUND: This article is focused on biological measurements based on molecular interactions. The specific biomarker implemented for radiation biosensor is FLT3, which bears changes in the body regarding radiation exposure. Experimental results of sensing vancomycin verify the overall results of two steps of numerical methods for different scales. OBJECTIVES: The aim is to provide adequate modeling procedures to predict sensory data. Multiscale modeling is implemented to simulate molecular interaction and its consequent micro mechanical effects. The method is implemented to calculate surface traction of microcantilever biosensor. MATERIALS AND METHODS: The method consists of molecular dynamics simulation of adsorption process by implementing classical mechanics theory to calculate the final response of the sensor as tip deflection. The sequential information transaction is assumed between the physical parameters of two governing scales. The numerical method consists of the location of particles providing for a nano-metric periodic boundary conditioned functionalized surface implemented, and the numerical thermodynamic formula is, in turn, use energy parameters to acquire macro-mechanical deflection of a specific microcantilever. Also, novel sensitivity analysis of the results as the adsorption process moves toward more saturated substrate provided. RESULTS: Verification of the simulation method for Vancomycin sensing results enjoys less than 20 percent of deviation regarding the experimental data. The standard deviation of 0.054 in the final expected response of the sensor is calculated as the accuracy of the radiation biosensor based on FLT3. CONCLUSIONS: The method is still to reach a correlation between the concentration of target molecules in solution and the number of adsorbed molecules per area of the sensor. A scaled correlation between sensor’s response and the amount of biomarker is found using tip deflection of a sample designed microcantilever. Around one micrometer deflection that can be read out using various conventional methods was observed at saturation of adsorption surface. The analyses provide adequate data to design a sensor capable of measuring the effect of cosmic radiation to the human body. National Institute of Genetic Engineering and Biotechnology 2020-04-01 /pmc/articles/PMC7856398/ /pubmed/33542938 http://dx.doi.org/10.30498/IJB.2020.134636.2317 Text en Copyright: © 2020 The Author(s); Published by Iranian Journal of Biotechnology http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 4.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 Unported License, ( http://creativecommons.org/licenses/by-nc/4.0/ ) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Mollaei, Fouad Aliparast, Peiman Naghash, Abolghasem Multiscale Simulation of Adsorption Based Microcantilever Biosensors for Radiation Exposure Effects |
title | Multiscale Simulation of Adsorption Based Microcantilever Biosensors for Radiation Exposure Effects |
title_full | Multiscale Simulation of Adsorption Based Microcantilever Biosensors for Radiation Exposure Effects |
title_fullStr | Multiscale Simulation of Adsorption Based Microcantilever Biosensors for Radiation Exposure Effects |
title_full_unstemmed | Multiscale Simulation of Adsorption Based Microcantilever Biosensors for Radiation Exposure Effects |
title_short | Multiscale Simulation of Adsorption Based Microcantilever Biosensors for Radiation Exposure Effects |
title_sort | multiscale simulation of adsorption based microcantilever biosensors for radiation exposure effects |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7856398/ https://www.ncbi.nlm.nih.gov/pubmed/33542938 http://dx.doi.org/10.30498/IJB.2020.134636.2317 |
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