Supporting data for "3D Printed Self-Supporting Elastomeric Structures for Multifunctional Microfluidics"
2020-07-30
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2018-10-01
2020-07-20
2020-07-20
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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
mcalpine@umn.edu
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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.
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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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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
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 University Digital Conservancy, https://doi.org/10.13020/n1rk-nm34.
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| File View/Open | Description | Size |
|---|---|---|
| Figure 1 data.zip | Raw data for Figure 1B and 1E, including angle images, burst pressure and wall thickness data. | 44.84 MB |
| Figure 2 data.zip | Raw data for Figure 2D, 2E and 2F, including mixing indices, simulation and confocal images, and red color gray value plots. | 3.97 MB |
| Figure 3 data.zip | Raw data for Figure 3E, 3F and 3G, including impedance scan, sensor calibration and real-time sensing data for Channel 1. | 1 MB |
| Figure 4 data.zip | Raw data for Figure 4C-F, including valve-pump characterization data, spherial microfluidics radius calibration data, X-Y coordinates and MATLAB script for G-code generation. | 78.26 KB |
| Figure S1 data.zip | Raw data for Figure S1B and S1C, including strain-stress, Young's modulus and peel-off strain data. | 107.57 KB |
| Figure S3 data.zip | Raw data for Figure S3A-E, including wall incline angle prection and rheology data of RTV silicone. | 83.55 KB |
| Figure S7 data.zip | Raw data for Figure S7B-D, including impedance scanning for Channel 2-4. | 356.61 KB |
| Readme_Su_ 3D Printed Microfluidics.txt | Description of data | 5.91 KB |
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