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Adaptive coatings based on polyaniline for direct 2d observation of diffusion processes in microfluidic systems

Florea, Larisa orcid logoORCID: 0000-0002-4704-2393, Martin-Mayor, Alain, Bou-Ali, Mounir M., Meagher, Kate, Diamond, Dermot orcid logoORCID: 0000-0003-2944-4839, Tutar, Mustafa and Benito-Lopez, Fernando orcid logoORCID: 0000-0003-0699-5507 (2016) Adaptive coatings based on polyaniline for direct 2d observation of diffusion processes in microfluidic systems. Sensors and Actuators B: Chemical, 231 . pp. 744-751. ISSN 0925-4005

Abstract
Microfluidic devices are poised to dramatically influence the future of the process industry. Therefore the understanding and proper evaluation of the flow and mixing behaviour at microscale becomes a very important issue. In this study, the diffusion behaviour of two reacting solutions of HCl and NaOH were directly observed in a glass/polydimethylsiloxane microfluidic device using adaptive coatings based on the conductive polymer polyaniline that are covalently attached to the microchannel walls. The two liquid streams were combined at the junction of a Y-shaped microchannel, and allowed to diffuse into each other and react. The results showed excellent correlation between optical observation of the diffusion process and the numerical results. A numerical model which is based on finite volume method (FVM) discretization of steady Navier-Stokes (fluid flow) equations and mass transport equations without reactions was used to calculate the flow variables at discrete points in the finite volume mesh element. The high correlation between theory and practical data indicates the potential of such coatings to monitor diffusion processes and mixing behaviour inside microfluidic channels in a dye free environment.
Metadata
Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:Polyaniline; Mixing process; Adaptive coatings; Optical sensor; Microfluidics; Computational fluid dynamics (CFD);
Subjects:Physical Sciences > Organic chemistry
Physical Sciences > Chemistry
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Science and Health > School of Chemical Sciences
Research Initiatives and Centres > INSIGHT Centre for Data Analytics
Research Initiatives and Centres > National Centre for Sensor Research (NCSR)
Publisher:Elsevier
Official URL:http://www.sciencedirect.com/science/article/pii/S...
Copyright Information:© 2016 Elsevier
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland under INSIGHT award SFI/12/RC/2289, Gobierno Vasco, Dpto. Industria, Innovación, Comercio y Turismo under ETORTEK 2013 and ETORTEK 2014 for the project undertaken by Microchip and the project of Fluids Mechanics Groups (IT557-10) of Gobierno Vasco, Dpto. de Educación, F.B.L. acknowledges the Ramón y Cajal programme (Ministerio de Economía y Competitividad)
ID Code:21284
Deposited On:26 Jul 2016 12:40 by Larisa Florea . Last Modified 14 Sep 2018 12:27
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