Francis, Wayne, Wagner, Klaudia, Beirne, Stephen ORCID: 0000-0002-1179-2272, Officer, David ORCID: 0000-0001-5465-9781, Wallace, Gordon ORCID: 0000-0002-0381-7273, Florea, Larisa ORCID: 0000-0002-4704-2393 and Diamond, Dermot ORCID: 0000-0003-2944-4839 (2016) Electrotactic ionic liquid droplets. Sensors and Actuators B: Chemical, 239 . pp. 1069-1075. ISSN 0924-4247
Abstract
To our knowledge, this work describes the first example of electro-guided, self-propelled droplets composed solely of an ionic liquid (IL), namely trihexyl(tetradecyl)phosphonium chloride ([P6,6,6,14][Cl]). These self-propelled droplets travel along an aqueous-air boundary to desired destinations within the fluidic network. Electrotactic movement of the droplets is due to asymmetric electro-stimulated release of a constituent of the IL droplet, the [P6,6,6,14]+ ion, which is a very efficient cationic surfactant, through electrochemically generated Cl- gradients. The direction and speed of movement can be controlled by switching the impressed voltage (typically 5 - 9V) ON or OFF, and by changing the polarity of the electrodes in contact with the electrolyte solution.
The Cl- gradients required for droplet movement are electrochemically generated using 3D printed electrodes which are embedded within the fluidic channels. On demand creation of these Cl- gradients electrochemically allows reversible droplet movement over expended periods of time, and provides a means for precise control over the droplet trajectory.
Metadata
Item Type: | Article (Published) |
---|---|
Refereed: | Yes |
Subjects: | Engineering > Materials Physical Sciences > Electrochemistry 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://dx.doi.org/10.1016/j.snb.2016.08.098 |
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, Insight, centre for data analytics, European Union Marie Curie People Programme Mask: PIRSES-GA-2010-269302, Australian Research Council Centre of Excellence Scheme |
ID Code: | 21347 |
Deposited On: | 08 Sep 2016 11:12 by Wayne Francis . Last Modified 30 Jan 2019 11:19 |
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