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3D printed fluidics with embedded analytic functionality for automated reaction optimisation.pdf (3.23 MB)

3D printed fluidics with embedded analytic functionality for automated reaction optimisation

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journal contribution
posted on 2017-02-17, 12:00 authored by Andrew CapelAndrew Capel, Andrew Wright, Matthew Harding, George WeaverGeorge Weaver, Yuqi Li, Russell A. Harris, Steve Edmondson, Ruth Goodridge, Steven ChristieSteven Christie
Additive manufacturing or ‘3D printing’ is being developed as a novel manufacturing process for the production of bespoke micro- and milliscale fluidic devices. When coupled with online monitoring and optimisation software, this offers an advanced, customised method for performing automated chemical synthesis. This paper reports the use of two additive manufacturing processes, stereolithography and selective laser melting, to create multifunctional fluidic devices with embedded reaction monitoring capability. The selectively laser melted parts are the first published examples of multifunctional 3D printed metal fluidic devices. These devices allow high temperature and pressure chemistry to be performed in solvent systems destructive to the majority of devices manufactured via stereolithography, polymer jetting and fused deposition modelling processes previously utilised for this application. These devices were integrated with commercially available flow chemistry, chromatographic and spectroscopic analysis equipment, allowing automated online and inline optimisation of the reaction medium. This set-up allowed the optimisation of two reactions, a ketone functional group interconversion and a fused polycyclic heterocycle formation, via spectroscopic and chromatographic analysis.

Funding

Loughborough University Materials Research School and EPSRC.

History

School

  • Sport, Exercise and Health Sciences

Published in

Beilstein Journal of Organic Chemistry

Volume

13

Pages

111 - 119

Citation

CAPEL, A.J. ... et al, 2017. 3D printed fluidics with embedded analytic functionality for automated reaction optimisation. Beilstein Journal of Organic Chemistry, 13, pp. 111-119.

Publisher

© Capel et al. Published by the Beilstein-Institut

Version

  • VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution 4.0 International (CC BY 4.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/

Acceptance date

2016-12-29

Publication date

2017-01-18

Notes

This is an Open Access Article. It is published by the Beilstein-Institut under the Creative Commons Attribution 4.0 Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/

ISSN

1860-5397

eISSN

1860-5397

Language

  • en