The University of Southampton
University of Southampton Institutional Repository

Generation and manipulation of “smart” droplets

Record type: Article

We report the generation and manipulation of electrorheological (ER) droplets that exhibit the giant ER effect. The experiments were carried out on specially designed microfluidic chips, in which the ER droplets were generated by using the microfluidic flow-focusing approach. Both the size and formation rate of these droplets can be controlled through digitally applied electrical signals. The principle of droplet manipulation is based on the electrical responsiveness of ER droplets and hence the denotation of “smart” when the electrical signals can be triggered by sensing/control devices. Due to the unique characteristics of the GER effect, the smart droplets can deform and even stop the microfluidic channel flow under an applied electric field. The pressure difference induced by the smart droplets inside the micro-channel is controllable by varying the field strengths, droplet sizes and particle concentrations in the GER suspension. By trapping and timed release of smart droplets in different micro-branch channels, we demonstrate that the smart droplets generated upstream cannot only be stored or displayed in the desired downstream channel(s) and thereby offer the potential of micro-droplet display, but also be useful in counting, flow directing and sorting the desired number of passive droplets sandwiched between two smart droplets. Such capabilities of smart droplets will enable the programmable control of discrete processes in bio-analysis, chemical reactions, digital microfluidics, and digital droplet display.

Full text not available from this repository.

Citation

Niu, Xize, Zhang, Mengying, Wu, Jinbo, Wen, Weijia and Sheng, Ping (2009) Generation and manipulation of “smart” droplets Soft Matter, 5, (3), pp. 576-581. (doi:10.1039/b816553j).

More information

e-pub ahead of print date: 21 November 2008
Published date: 2009
Organisations: Mechatronics

Identifiers

Local EPrints ID: 199891
URI: http://eprints.soton.ac.uk/id/eprint/199891
ISSN: 1744-683X
PURE UUID: d8dac98b-3969-4be2-8444-3490f93d1c5f

Catalogue record

Date deposited: 21 Oct 2011 15:32
Last modified: 18 Jul 2017 11:15

Export record

Altmetrics

Contributors

Author: Xize Niu
Author: Mengying Zhang
Author: Jinbo Wu
Author: Weijia Wen
Author: Ping Sheng

University divisions


Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×