Roboticized AI-assisted microfluidic photocatalytic synthesis and screening up to 10,000 reactions per day
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.
Authors
- Qian-Nuan Shi
- Qun Fang (ORCID: https://orcid.org/0000-0002-6250-252X)
- Jian‐Zhang Pan (ORCID: https://orcid.org/0000-0001-8164-7161)
- Zhan Lu (ORCID: https://orcid.org/0000-0002-3069-079X)
- Jia-Min Lu (ORCID: https://orcid.org/0009-0001-8332-665X)
- Jianwei Wang (ORCID: https://orcid.org/0000-0002-0815-9476)
- Tongtong Li (ORCID: https://orcid.org/0000-0002-0517-2886)
- Kexin Chen (ORCID: https://orcid.org/0000-0001-5212-0635)
- Jianbo Chen (ORCID: https://orcid.org/0000-0001-7942-0187)
- Yi Huang (ORCID: https://orcid.org/0000-0001-7774-1024)
- Guangyong Chen (ORCID: https://orcid.org/0000-0002-5892-8608)
- Mengting Zhang (ORCID: https://orcid.org/0000-0002-6619-4712)
- Huifeng Wang (ORCID: https://orcid.org/0000-0001-5724-766X)
- Qi-Hang Guo
- Shao-Wen Shi
Institutions
- Chinese University of Hong Kong (HK)
- Zhejiang Lab (CN)
- Center for Life Sciences (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Nature Communications
- Published
- 2024-10-12
- DOI
- https://doi.org/10.1038/s41467-024-53204-6
- Citations
- 46
- Primary Topic
- Innovative Microfluidic and Catalytic Techniques Innovation
- Type
- article
- Field-Weighted Citation Impact
- 8.48
Funders
- National Natural Science Foundation of China