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3D printed microfluidic device with integrated optical sensing for particle analysis

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journal contribution
posted on 2017-11-06, 14:40 authored by Sarah Hampson, William Rowe, Steven ChristieSteven Christie, Mark PlattMark Platt
The integration of particle counters within lab-on-chip (LOC) microfluidic devices creates a range of valuable tools for healthcare such as cell counting, and synthesis applications e.g. materials fabrication. Avoidance of long and/ or complex fabrication processes can aid the uptake of these devices, specially within resource-poor societies. We present an additively manufactured microfluidic particle counter. The device features a hydrodynamic focusing chamber to stream the particles past embedded optical fibres for their detection. The intensity of occluded light through the fibre was found to be related to the size of the particles, allowing particles of different sizes to be identified. The signal-to-noise ratio and reproducibility of the particle analysis was optimised to three objectives (pulse magnitude, uniformity and periodicity) via the use of a genetic algorithm (GA). Once optimised the device was able to count particles upto 5.5 × 104 particles ml-1, and size particles in a mixture.

History

School

  • Science

Department

  • Chemistry

Published in

Sensors and Actuators B: Chemical

Citation

HAMPSON, S. ...et al., 2018. 3D printed microfluidic device with integrated optical sensing for particle analysis. Sensors and Actuators B: Chemical, 256, pp. 1030-1037.

Publisher

© Elsevier

Version

  • AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

2017-10-07

Publication date

2017-10-12

Notes

This paper was published in the journal Sensors and Actuators B: Chemical and the definitive published version is available at https://doi.org/10.1016/j.snb.2017.10.041.

ISSN

0925-4005

Language

  • en

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