Projects per year
Description
Abstract
Microfluidic devices fabricated via soft lithography have demonstrated compelling applications in areas such as rapid biochemical assays, lab-on-a-chip diagnostics, DNA microarrays and cell analyses. These technologies could be further developed by directly integrating microfluidics with electronic sensors and curvilinear substrates as well as reducing the human-centric fabrication processes to improve throughput. Current additive manufacturing methods, such as stereolithography and multi-jet printing, tend to contaminate substrates due to uncured resins or supporting materials that are subsequently evacuated to create hollow fluid passages. Here we present a printing methodology based on precisely extruding viscoelastic inks into self-supporting structures, creating elastomeric microchannels and chambers without requiring sacrificial materials. We demonstrate that, in the sub-millimeter regime, the yield strength of the as-extruded silicone ink is sufficient to prevent creep under the gravitational loading within a certain angular range. Printing toolpaths are specifically designed to realize leakage-free connections between channels and chambers, T-shaped intersections and overlapping channels. The self-supporting microfluidic structures enable the automatable fabrication of multifunctional devices, including multi-material mixers, microfluidic-integrated sensors, automation components and 3D microfluidics.
Description
This data set includes the supporting data for the Science Advances article, 3D Printed Self-Supporting Elastomeric Structures for Multifunctional Microfluidics (DOI: 10.1126/sciadv.abc9846).
Funding information
Sponsorship: Army Research Office, Cooperative Agreement Number: W911NF1820175; Basic research funding from the US Army Combat Capabilities Development Command Soldier Center; National Institute of Biomedical Imaging and Bioengineering of the National Institutes of Health, Award number: DP2EB020537; The State of Minnesota MnDRIVE; National Science Foundation through the National Nano Coordinated Infrastructure Network, Award Number: ECCS-1542202
Microfluidic devices fabricated via soft lithography have demonstrated compelling applications in areas such as rapid biochemical assays, lab-on-a-chip diagnostics, DNA microarrays and cell analyses. These technologies could be further developed by directly integrating microfluidics with electronic sensors and curvilinear substrates as well as reducing the human-centric fabrication processes to improve throughput. Current additive manufacturing methods, such as stereolithography and multi-jet printing, tend to contaminate substrates due to uncured resins or supporting materials that are subsequently evacuated to create hollow fluid passages. Here we present a printing methodology based on precisely extruding viscoelastic inks into self-supporting structures, creating elastomeric microchannels and chambers without requiring sacrificial materials. We demonstrate that, in the sub-millimeter regime, the yield strength of the as-extruded silicone ink is sufficient to prevent creep under the gravitational loading within a certain angular range. Printing toolpaths are specifically designed to realize leakage-free connections between channels and chambers, T-shaped intersections and overlapping channels. The self-supporting microfluidic structures enable the automatable fabrication of multifunctional devices, including multi-material mixers, microfluidic-integrated sensors, automation components and 3D microfluidics.
Description
This data set includes the supporting data for the Science Advances article, 3D Printed Self-Supporting Elastomeric Structures for Multifunctional Microfluidics (DOI: 10.1126/sciadv.abc9846).
Funding information
Sponsorship: Army Research Office, Cooperative Agreement Number: W911NF1820175; Basic research funding from the US Army Combat Capabilities Development Command Soldier Center; National Institute of Biomedical Imaging and Bioengineering of the National Institutes of Health, Award number: DP2EB020537; The State of Minnesota MnDRIVE; National Science Foundation through the National Nano Coordinated Infrastructure Network, Award Number: ECCS-1542202
| Date made available | 2020 |
|---|---|
| Publisher | Data Repository for the University of Minnesota |
| Date of data production | Oct 1 2018 - Jul 20 2020 |
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NNCI: Minnesota, Enabling Nanotechnology Excellence in t
Koester, S. J. & Campbell, S. A.
9/15/15 → 5/31/22
Project: Research project