Cargando…

Numerical framework for simulating bio-species transport in microfluidic channels with application to antibody biosensors

Diagnosis is a fundamental stage in health care and medical treatment. Microfluidic biosensors and lab-on-a-chip devices are amongst the few practical tools for achieving this goal. A new computational code, specifically for designing microfluidic-integrated biosensors is developed, the details of w...

Descripción completa

Detalles Bibliográficos
Autores principales: Shahbazi, Fatemeh, Jabbari, Masoud, Esfahani, Mohammad Nasr, Keshmiri, Amir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7679250/
https://www.ncbi.nlm.nih.gov/pubmed/33251124
http://dx.doi.org/10.1016/j.mex.2020.101132
_version_ 1783612306212519936
author Shahbazi, Fatemeh
Jabbari, Masoud
Esfahani, Mohammad Nasr
Keshmiri, Amir
author_facet Shahbazi, Fatemeh
Jabbari, Masoud
Esfahani, Mohammad Nasr
Keshmiri, Amir
author_sort Shahbazi, Fatemeh
collection PubMed
description Diagnosis is a fundamental stage in health care and medical treatment. Microfluidic biosensors and lab-on-a-chip devices are amongst the few practical tools for achieving this goal. A new computational code, specifically for designing microfluidic-integrated biosensors is developed, the details of which is presented in this work. This new approach is developed using control-volume based finite-element (CVFEM) method and solves bio-recognition chemical reactions and full Navier–Stokes equations. The results of the proposed platform are validated against the experimental data for a microfluidic based biosensor, where excellent agreement is achieved. The properties of the biosensor, sample, buffer fluid and even the microfluidic channel can easily be modified in this platform. This feature provides the scientific community with the ability to design a specific biosensor for requested point-of-care applications. • A new approach is developed using control-volume based finite-element (CVFEM) method for investigating flow inside a microfluidic-integrated biosensor. It is also used to study the influence of surface functionalization on binding cycle. • The proposed model solves bio-recognition chemical reactions as well as full Navier–Stokes and energy equations. Experimental-based or personalized equations of the chemical reactions and flow behaviour are adoptable to this code. • The developed model is Fortran-based and has the potential to be used in both industry and academia for biosensing technology.
format Online
Article
Text
id pubmed-7679250
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-76792502020-11-27 Numerical framework for simulating bio-species transport in microfluidic channels with application to antibody biosensors Shahbazi, Fatemeh Jabbari, Masoud Esfahani, Mohammad Nasr Keshmiri, Amir MethodsX Method Article Diagnosis is a fundamental stage in health care and medical treatment. Microfluidic biosensors and lab-on-a-chip devices are amongst the few practical tools for achieving this goal. A new computational code, specifically for designing microfluidic-integrated biosensors is developed, the details of which is presented in this work. This new approach is developed using control-volume based finite-element (CVFEM) method and solves bio-recognition chemical reactions and full Navier–Stokes equations. The results of the proposed platform are validated against the experimental data for a microfluidic based biosensor, where excellent agreement is achieved. The properties of the biosensor, sample, buffer fluid and even the microfluidic channel can easily be modified in this platform. This feature provides the scientific community with the ability to design a specific biosensor for requested point-of-care applications. • A new approach is developed using control-volume based finite-element (CVFEM) method for investigating flow inside a microfluidic-integrated biosensor. It is also used to study the influence of surface functionalization on binding cycle. • The proposed model solves bio-recognition chemical reactions as well as full Navier–Stokes and energy equations. Experimental-based or personalized equations of the chemical reactions and flow behaviour are adoptable to this code. • The developed model is Fortran-based and has the potential to be used in both industry and academia for biosensing technology. Elsevier 2020-11-06 /pmc/articles/PMC7679250/ /pubmed/33251124 http://dx.doi.org/10.1016/j.mex.2020.101132 Text en © 2020 The Authors. Published by Elsevier B.V. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Method Article
Shahbazi, Fatemeh
Jabbari, Masoud
Esfahani, Mohammad Nasr
Keshmiri, Amir
Numerical framework for simulating bio-species transport in microfluidic channels with application to antibody biosensors
title Numerical framework for simulating bio-species transport in microfluidic channels with application to antibody biosensors
title_full Numerical framework for simulating bio-species transport in microfluidic channels with application to antibody biosensors
title_fullStr Numerical framework for simulating bio-species transport in microfluidic channels with application to antibody biosensors
title_full_unstemmed Numerical framework for simulating bio-species transport in microfluidic channels with application to antibody biosensors
title_short Numerical framework for simulating bio-species transport in microfluidic channels with application to antibody biosensors
title_sort numerical framework for simulating bio-species transport in microfluidic channels with application to antibody biosensors
topic Method Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7679250/
https://www.ncbi.nlm.nih.gov/pubmed/33251124
http://dx.doi.org/10.1016/j.mex.2020.101132
work_keys_str_mv AT shahbazifatemeh numericalframeworkforsimulatingbiospeciestransportinmicrofluidicchannelswithapplicationtoantibodybiosensors
AT jabbarimasoud numericalframeworkforsimulatingbiospeciestransportinmicrofluidicchannelswithapplicationtoantibodybiosensors
AT esfahanimohammadnasr numericalframeworkforsimulatingbiospeciestransportinmicrofluidicchannelswithapplicationtoantibodybiosensors
AT keshmiriamir numericalframeworkforsimulatingbiospeciestransportinmicrofluidicchannelswithapplicationtoantibodybiosensors