Issue |
E3S Web Conf.
Volume 321, 2021
XIII International Conference on Computational Heat, Mass and Momentum Transfer (ICCHMT 2021)
|
|
---|---|---|
Article Number | 01007 | |
Number of page(s) | 6 | |
Section | Fluid | |
DOI | https://doi.org/10.1051/e3sconf/202132101007 | |
Published online | 11 November 2021 |
Optimisation of microfluidic polymerase chain reaction devices
1
School of Computing, University of Leeds, LS2 9JT, Leeds, United Kingdom
2
School of Mechanical Engineering, University of Leeds, LS2 9JT, Leeds, United Kingdom
* Corresponding author: fotizagl@hotmail.com
The invention and development of Polymerase Chain Reaction (PCR) technology have revolutionised molecular biology and molecular diagnostics. There is an urgent need to optimise the performance of these devices while reducing the total construction and operation costs. This study proposes a CFD-enabled optimisation methodology for continuous flow (CF) PCR devices with serpentine-channel structure, which enables the optimisation of DNA amplification efficiency and pressure drop to be explored while varying the width (W) and height (H) of the microfluidic (μ) channel. This is achieved by using a surrogate-enabled optimisation approach accounting for the geometrical features of a μCFPCR device by performing a series of simulations using COMSOL Multiphysics 5.4®. The values of the objectives are extracted from the CFD solutions, and the response surfaces are created using polyharmonic splines. Genetic algorithms are then used to locate the optimum design parameters. The results indicate that there is the possibility of improving the DNA concentration and the pressure drop in a PCR cycle by ~2.1 % ([W, H] = [400 μm, 50 μm]) and ~95.2 % ([W, H] = [400 μm, 80 μm]) respectively, by modifying its geometry.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.