Roboticized AI-assisted microfluidic photocatalytic synthesis and screening up to 10,000 reactions per day

Jia-Min Lu, Hui-Feng Wang, Qi-Hang Guo, Jian-Wei Wang, Tong-Tong Li, Ke-Xin Chen, Meng-Ting Zhang, Jian-Bo Chen, Qian-Nuan Shi, Yi Huang, Shao-Wen Shi, Guang-Yong Chen (), Jian-Zhang Pan (), Zhan Lu () and Qun Fang ()
Additional contact information
Jia-Min Lu: Zhejiang University
Hui-Feng Wang: Zhejiang University
Qi-Hang Guo: Zhejiang University
Jian-Wei Wang: ZJU-Hangzhou Global Scientific and Technological Innovation Center
Tong-Tong Li: Zhejiang University
Ke-Xin Chen: Zhejiang Lab
Meng-Ting Zhang: Zhejiang University
Jian-Bo Chen: Zhejiang University
Qian-Nuan Shi: ZJU-Hangzhou Global Scientific and Technological Innovation Center
Yi Huang: ZJU-Hangzhou Global Scientific and Technological Innovation Center
Shao-Wen Shi: ZJU-Hangzhou Global Scientific and Technological Innovation Center
Guang-Yong Chen: Zhejiang Lab
Jian-Zhang Pan: Zhejiang University
Zhan Lu: Zhejiang University
Qun Fang: Zhejiang University

Nature Communications, 2024, vol. 15, issue 1, 1-13

Abstract: Abstract The current throughput of conventional organic chemical synthesis is usually a few experiments for each operator per day. We develop a robotic system for ultra-high-throughput chemical synthesis, online characterization, and large-scale condition screening of photocatalytic reactions, based on the liquid-core waveguide, microfluidic liquid-handling, and artificial intelligence techniques. The system is capable of performing automated reactant mixture preparation, changing, introduction, ultra-fast photocatalytic reactions in seconds, online spectroscopic detection of the reaction product, and screening of different reaction conditions. We apply the system in large-scale screening of 12,000 reaction conditions of a photocatalytic [2 + 2] cycloaddition reaction including multiple continuous and discrete variables, reaching an ultra-high throughput up to 10,000 reaction conditions per day. Based on the data, AI-assisted cross-substrate/photocatalyst prediction is conducted.

Date: 2024
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DOI: 10.1038/s41467-024-53204-6

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