Evidence map›Paper›PMID 39396057›Full record

ArticleNature communications2024

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 and 5 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Jia-Min Lu *Department of Chemistry, Zhejiang University, Hangzhou, China.ORCID http://orcid.org/0009-0001-8332-665X
Hui-Feng Wang *Department of Chemistry, Zhejiang University, Hangzhou, China.
Qi-Hang Guo *Department of Chemistry, Zhejiang University, Hangzhou, China.
Jian-Wei WangInstitute of Intelligent Chemical Manufacturing and iChemFoundry Platform, Engineering Research Center of Functional Materials Intelligent Manufacturing of Zhejiang Province, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou, China.
Tong-Tong LiDepartment of Chemistry, Zhejiang University, Hangzhou, China.
Ke-Xin ChenThe Research Center for Life Sciences Computing, Zhejiang Lab, Hangzhou, China.
Meng-Ting ZhangDepartment of Chemistry, Zhejiang University, Hangzhou, China.
Jian-Bo ChenDepartment of Chemistry, Zhejiang University, Hangzhou, China.
Qian-Nuan ShiInstitute of Intelligent Chemical Manufacturing and iChemFoundry Platform, Engineering Research Center of Functional Materials Intelligent Manufacturing of Zhejiang Province, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou, China.
Yi HuangInstitute of Intelligent Chemical Manufacturing and iChemFoundry Platform, Engineering Research Center of Functional Materials Intelligent Manufacturing of Zhejiang Province, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou, China.
Shao-Wen ShiInstitute of Intelligent Chemical Manufacturing and iChemFoundry Platform, Engineering Research Center of Functional Materials Intelligent Manufacturing of Zhejiang Province, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou, China.
Guang-Yong ChenThe Research Center for Life Sciences Computing, Zhejiang Lab, Hangzhou, China. gychen@zhejianglab.com.ORCID http://orcid.org/0000-0002-5892-8608
Jian-Zhang PanDepartment of Chemistry, Zhejiang University, Hangzhou, China. kelvonpan@zju.edu.cn.ORCID http://orcid.org/0000-0001-8164-7161
Zhan LuDepartment of Chemistry, Zhejiang University, Hangzhou, China. luzhan@zju.edu.cn.ORCID http://orcid.org/0000-0002-3069-079X
Qun FangDepartment of Chemistry, Zhejiang University, Hangzhou, China. fangqun@zju.edu.cn.ORCID http://orcid.org/0000-0002-6250-252X

Funding

National Natural Science Foundation of China (National Science Foundation of China) 22234007 and 22271249National Natural Science Foundation of China (National Science Foundation of China) 22271249
6 · The paper itself

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.

Identifiers

PMID39396057
PMCPMC11470948

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.