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Supporting data for "3D Printed Self-Supporting Elastomeric Structures for Multifunctional Microfluidics"

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2018-10-01
2020-07-20

Date completed

2020-07-20

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Supporting data for "3D Printed Self-Supporting Elastomeric Structures for Multifunctional Microfluidics"

Published Date

2020-07-30

Author Contact

McAlpine, Michael C
mcalpine@umn.edu

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Experimental Data
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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).

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Funding information

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

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Su, Ruitao; Wen, Jiaxuan; Su, Qun; Wiederoder, Michael S; Koester, Steven J; Uzarski, Joshua R; McAlpine, Michael C. (2020). Supporting data for "3D Printed Self-Supporting Elastomeric Structures for Multifunctional Microfluidics". Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/n1rk-nm34.

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