posted on 2016-08-05, 13:29authored byTom Monaghan, Matthew Harding, Russell A. Harris, Ross J. Friel, Steven ChristieSteven Christie
The formation of smart Lab-on-a-Chip (LOC) devices featuring integrated sensing optics is currently hindered
by convoluted and expensive manufacturing procedures. In this work, a series of 3D-printed LOC
devices were designed and manufactured via stereolithography (SL) in a matter of hours. The spectroscopic
performance of a variety of optical fibre combinations were tested, and the optimum path length for
performing Ultraviolet-visible (UV-vis) spectroscopy determined. The information gained in these trials was
then used in a reaction optimisation for the formation of carvone semicarbazone. The production of high
resolution surface channels (100–500 μm) means that these devices were capable of handling a wide range
of concentrations (9 μM–38 mM), and are ideally suited to both analyte detection and process optimisation.
This ability to tailor the chip design and its integrated features as a direct result of the reaction being
assessed, at such a low time and cost penalty greatly increases the user's ability to optimise both their device
and reaction. As a result of the information gained in this investigation, we are able to report the first
instance of a 3D-printed LOC device with fully integrated, in-line monitoring capabilities via the use of embedded
optical fibres capable of performing UV-vis spectroscopy directly inside micro channels.
Funding
This work was supported by the Engineering and Physical Science Research Council (EPSRC) via the Centre for Innovative Manufacturing in Additive Manufacturing.
History
School
Mechanical, Electrical and Manufacturing Engineering
Published in
Lab On a Chip: microfluidic and nanotechnologies for chemistry, biology, and bioengineering
Volume
16
Pages
3362-3373
Citation
MONAGHAN, T. ...et al., 2016. Customisable 3D printed microfluidics for integrated analysis and optimisation. Lab On a Chip, 16 (17), pp. 3362-3373.
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
2016-07-18
Publication date
2016-07-18
Copyright date
2016
Notes
This paper was accepted for publication in the journal Lab On a Chip and the definitive published version is available at http://dx.doi.org/10.1039/C6LC00562D.