Author
Listed:
- Carlos Carbonell
(Advanced Science Research Center at the Graduate Center of the City University of New York
Department of Chemistry, Hunter College)
- Daniel Valles
(Advanced Science Research Center at the Graduate Center of the City University of New York
Department of Chemistry, Hunter College
Graduate Center of the City University of New York)
- Alexa M. Wong
(Advanced Science Research Center at the Graduate Center of the City University of New York
Department of Chemistry, Hunter College)
- Andrea S. Carlini
(Northwestern University)
- Mollie A. Touve
(Northwestern University)
- Joanna Korpanty
(Northwestern University)
- Nathan C. Gianneschi
(Northwestern University
Northwestern University
Northwestern University)
- Adam B. Braunschweig
(Advanced Science Research Center at the Graduate Center of the City University of New York
Department of Chemistry, Hunter College
Graduate Center of the City University of New York
Graduate Center of the City University of New York)
Abstract
Polymer brush patterns have a central role in established and emerging research disciplines, from microarrays and smart surfaces to tissue engineering. The properties of these patterned surfaces are dependent on monomer composition, polymer height, and brush distribution across the surface. No current lithographic method, however, is capable of adjusting each of these variables independently and with micrometer-scale resolution. Here we report a technique termed Polymer Brush Hypersurface Photolithography, which produces polymeric pixels by combining a digital micromirror device (DMD), an air-free reaction chamber, and microfluidics to independently control monomer composition and polymer height of each pixel. The printer capabilities are demonstrated by preparing patterns from combinatorial polymer and block copolymer brushes. Images from polymeric pixels are created using the light reflected from a DMD to photochemically initiate atom-transfer radical polymerization from initiators immobilized on Si/SiO2 wafers. Patterning is combined with high-throughput analysis of grafted-from polymerization kinetics, accelerating reaction discovery, and optimization of polymer coatings.
Suggested Citation
Carlos Carbonell & Daniel Valles & Alexa M. Wong & Andrea S. Carlini & Mollie A. Touve & Joanna Korpanty & Nathan C. Gianneschi & Adam B. Braunschweig, 2020.
"Polymer brush hypersurface photolithography,"
Nature Communications, Nature, vol. 11(1), pages 1-8, December.
Handle:
RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-14990-x
DOI: 10.1038/s41467-020-14990-x
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