Structural colour enhanced microfluidics

Detao Qin, Andrew H. Gibbons, Masateru M. Ito (), Sangamithirai Subramanian Parimalam, Handong Jiang, H. Enis Karahan, Behnam Ghalei, Daisuke Yamaguchi, Ganesh N. Pandian and Easan Sivaniah ()
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Detao Qin: Kyoto University of Advanced Study, Kyoto University
Andrew H. Gibbons: Kyoto University of Advanced Study, Kyoto University
Masateru M. Ito: Kyoto University of Advanced Study, Kyoto University
Sangamithirai Subramanian Parimalam: Kyoto University of Advanced Study, Kyoto University
Handong Jiang: Kyoto University of Advanced Study, Kyoto University
H. Enis Karahan: Kyoto University of Advanced Study, Kyoto University
Behnam Ghalei: Kyoto University of Advanced Study, Kyoto University
Daisuke Yamaguchi: Kyoto University of Advanced Study, Kyoto University
Ganesh N. Pandian: Kyoto University of Advanced Study, Kyoto University
Easan Sivaniah: Kyoto University of Advanced Study, Kyoto University

Nature Communications, 2022, vol. 13, issue 1, 1-9

Abstract: Abstract Advances in microfluidic technology towards flexibility, transparency, functionality, wearability, scale reduction or complexity enhancement are currently limited by choices in materials and assembly methods. Organized microfibrillation is a method for optically printing well-defined porosity into thin polymer films with ultrahigh resolution. Here we demonstrate this method to create self-enclosed microfluidic devices with a few simple steps, in a number of flexible and transparent formats. Structural colour, a property of organized microfibrillation, becomes an intrinsic feature of these microfluidic devices, enabling in-situ sensing capability. Since the system fluid dynamics are dependent on the internal pore size, capillary flow is shown to become characterized by structural colour, while independent of channel dimension, irrespective of whether devices are printed at the centimetre or micrometre scale. Moreover, the capability of generating and combining different internal porosities enables the OM microfluidics to be used for pore-size based applications, as demonstrated by separation of biomolecular mixtures.

Date: 2022
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DOI: 10.1038/s41467-022-29956-4

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