Mass-Preserving Approximation of a Chemotaxis Multi-Domain Transmission Model for Microfluidic Chips

The present work is inspired by the recent developments in laboratory experiments made on chips, where the culturing of multiple cell species was possible. The model is based on coupled reaction-diffusion-transport equations with chemotaxis and takes into account the interactions among cell populati...

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Main Authors: Elishan Christian Braun, Gabriella Bretti, Roberto Natalini
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/9/6/688
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author Elishan Christian Braun
Gabriella Bretti
Roberto Natalini
author_facet Elishan Christian Braun
Gabriella Bretti
Roberto Natalini
author_sort Elishan Christian Braun
collection DOAJ
description The present work is inspired by the recent developments in laboratory experiments made on chips, where the culturing of multiple cell species was possible. The model is based on coupled reaction-diffusion-transport equations with chemotaxis and takes into account the interactions among cell populations and the possibility of drug administration for drug testing effects. Our effort is devoted to the development of a simulation tool that is able to reproduce the chemotactic movement and the interactions between different cell species (immune and cancer cells) living in a microfluidic chip environment. The main issues faced in this work are the introduction of mass-preserving and positivity-preserving conditions, involving the balancing of incoming and outgoing fluxes passing through interfaces between 2D and 1D domains of the chip and the development of mass-preserving and positivity preserving numerical conditions at the external boundaries and at the interfaces between 2D and 1D domains.
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spelling doaj.art-a8f3dd3086e84be881d43ed34ef1bb112023-11-21T11:37:57ZengMDPI AGMathematics2227-73902021-03-019668810.3390/math9060688Mass-Preserving Approximation of a Chemotaxis Multi-Domain Transmission Model for Microfluidic ChipsElishan Christian Braun0Gabriella Bretti1Roberto Natalini2Department Mathematics, University of Rome 3, 00146 Rome, ItalyIstituto per le Applicazioni del Calcolo “M.Picone”, 00185 Rome, ItalyIstituto per le Applicazioni del Calcolo “M.Picone”, 00185 Rome, ItalyThe present work is inspired by the recent developments in laboratory experiments made on chips, where the culturing of multiple cell species was possible. The model is based on coupled reaction-diffusion-transport equations with chemotaxis and takes into account the interactions among cell populations and the possibility of drug administration for drug testing effects. Our effort is devoted to the development of a simulation tool that is able to reproduce the chemotactic movement and the interactions between different cell species (immune and cancer cells) living in a microfluidic chip environment. The main issues faced in this work are the introduction of mass-preserving and positivity-preserving conditions, involving the balancing of incoming and outgoing fluxes passing through interfaces between 2D and 1D domains of the chip and the development of mass-preserving and positivity preserving numerical conditions at the external boundaries and at the interfaces between 2D and 1D domains.https://www.mdpi.com/2227-7390/9/6/688multi-domain networktransmission conditionsfinite difference schemeschemotaxisreaction-diffusion models
spellingShingle Elishan Christian Braun
Gabriella Bretti
Roberto Natalini
Mass-Preserving Approximation of a Chemotaxis Multi-Domain Transmission Model for Microfluidic Chips
Mathematics
multi-domain network
transmission conditions
finite difference schemes
chemotaxis
reaction-diffusion models
title Mass-Preserving Approximation of a Chemotaxis Multi-Domain Transmission Model for Microfluidic Chips
title_full Mass-Preserving Approximation of a Chemotaxis Multi-Domain Transmission Model for Microfluidic Chips
title_fullStr Mass-Preserving Approximation of a Chemotaxis Multi-Domain Transmission Model for Microfluidic Chips
title_full_unstemmed Mass-Preserving Approximation of a Chemotaxis Multi-Domain Transmission Model for Microfluidic Chips
title_short Mass-Preserving Approximation of a Chemotaxis Multi-Domain Transmission Model for Microfluidic Chips
title_sort mass preserving approximation of a chemotaxis multi domain transmission model for microfluidic chips
topic multi-domain network
transmission conditions
finite difference schemes
chemotaxis
reaction-diffusion models
url https://www.mdpi.com/2227-7390/9/6/688
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AT robertonatalini masspreservingapproximationofachemotaxismultidomaintransmissionmodelformicrofluidicchips