Printed polymer platform empowering machine-assisted chemical synthesis in stacked droplets

Yingxue Sun, Yuanyi Zhao, Xinjian Xie, Hongjiao Li and Wenqian Feng ()
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Yingxue Sun: Sichuan University
Yuanyi Zhao: Sichuan University
Xinjian Xie: Sichuan University
Hongjiao Li: Sichuan University
Wenqian Feng: Sichuan University

Nature Communications, 2024, vol. 15, issue 1, 1-14

Abstract: Abstract Efficiently exploring organic molecules through multi-step processes demands a transition from conventional laboratory synthesis to automated systems. Existing platforms for machine-assistant synthetic workflows compatible with multiple liquid-phases require substantial engineering investments for setup, thereby hindering quick customization and throughput increasement. Here we present a droplet-based chip that facilitates the self-organization of various liquid phases into stacked layers for conducting chemical transformations. The chip’s precision polymer printing capability, enabled by digital micromirror device (DMD)-maskless photolithography and dual post-chemical modifications, allows it to create customized, sub-10 µm featured patterns to confine diverse liquids, regardless of density, within each droplet. The robustness and open design of surface-templated liquid layers actualize machine-assistant droplet manipulation, synchronous reaction triggering, local oscillation, and real-time monitoring of individual layers into a reality. We propose that, with further integration of machine operation line and self-learning, this droplet-based platform holds the potential to become a valuable addition to the toolkit of chemistry process, operating autonomously and with high-throughput.

Date: 2024
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DOI: 10.1038/s41467-024-50768-1

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