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Uniform mixing in paper-based microfluidic systems using surface acoustic waves

Overview of attention for article published in Lab on a Chip - Miniaturisation for Chemistry & Biology, January 2012
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1 Google+ user
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1 YouTube creator

Citations

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148 Dimensions

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232 Mendeley
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1 CiteULike
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Title
Uniform mixing in paper-based microfluidic systems using surface acoustic waves
Published in
Lab on a Chip - Miniaturisation for Chemistry & Biology, January 2012
DOI 10.1039/c2lc21065g
Pubmed ID
Authors

Amgad R. Rezk, Aisha Qi, James R. Friend, Wai Ho Li, Leslie Y. Yeo

Abstract

Paper-based microfluidics has recently received considerable interest due to their ease and low cost, making them extremely attractive as point-of-care diagnostic devices. The incorporation of basic fluid actuation and manipulation schemes on paper substrates, however, afford the possibility to extend the functionality of this simple technology to a much wider range of typical lab-on-a-chip operations, given its considerable advantages in terms of cost, size and integrability over conventional microfluidic substrates. We present a convective actuation mechanism in a simple paper-based microfluidic device using surface acoustic waves to drive mixing. Employing a Y-channel structure patterned onto paper, the mixing induced by the 30 MHz acoustic waves is shown to be consistent and rapid, overcoming several limitations associated with its capillary-driven passive mixing counterpart wherein irreproducibilities and nonuniformities are often encountered in the mixing along the channel--capillary-driven passive mixing offers only poor control, is strongly dependent on the paper's texture and fibre alignment, and permits backflow, all due to the scale of the fibres being significant in comparison to the length scales of the features in a microfluidic system. Using a novel hue-based colourimetric technique, the mixing speed and efficiency is compared between the two methods, and used to assess the effects of changing the input power, channel tortuousity and fibre/flow alignment for the acoustically-driven mixing. The hue-based technique offers several advantages over grayscale pixel intensity analysis techniques in facilitating quantification without limitations on the colour contrast of the samples, and can be used, for example, for quantification in on-chip immunochromatographic assays.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 232 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 1%
United Kingdom 2 <1%
Australia 2 <1%
France 2 <1%
United States 2 <1%
Malaysia 1 <1%
Canada 1 <1%
Switzerland 1 <1%
Spain 1 <1%
Other 1 <1%
Unknown 216 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 61 26%
Student > Master 44 19%
Researcher 29 13%
Student > Bachelor 18 8%
Student > Doctoral Student 8 3%
Other 31 13%
Unknown 41 18%
Readers by discipline Count As %
Engineering 81 35%
Chemistry 33 14%
Agricultural and Biological Sciences 23 10%
Materials Science 10 4%
Chemical Engineering 9 4%
Other 23 10%
Unknown 53 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 December 2011.
All research outputs
#16,997,104
of 25,756,911 outputs
Outputs from Lab on a Chip - Miniaturisation for Chemistry & Biology
#4,513
of 5,997 outputs
Outputs of similar age
#170,727
of 251,834 outputs
Outputs of similar age from Lab on a Chip - Miniaturisation for Chemistry & Biology
#204
of 266 outputs
Altmetric has tracked 25,756,911 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,997 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 251,834 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 266 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.