Towards a greener electrosynthesis: pairing machine learning and 3D printing for rapid optimisation of anodic trifluoromethylation

Author:

Gupta Nipun Kumar12ORCID,Guo Yilin3ORCID,Chang Soon Yee3,Lin Jing4ORCID,Khoo Zi Hui Jonathan12ORCID,I. Made Riko1ORCID,Ooi Zi En1ORCID,Lim Carina Yi Jing1ORCID,Lee Chow Hern5ORCID,Sivapaalan M.6,Lim Yee-Fun12ORCID,Khoo Edwin4ORCID,Feng Lu Wen3,Lum Yanwei1,Handoko Albertus D.12ORCID

Affiliation:

1. Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, Innovis #08-03, Singapore 138634, Republic of Singapore

2. Institute of Sustainability for Chemicals, Energy and Environment (ISCE2), Agency for Science, Technology and Research (A*STAR), 1 Pesek Road, Jurong Island, Singapore 627833, Republic of Singapore

3. NUS Centre for Additive Manufacturing (AM.NUS), E3-02-07, E3, Engineering Block 2, Engineering Drive 3, Singapore, 117581

4. Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, Connexis #21-01, Singapore 138632, Republic of Singapore

5. School of Chemical and Biomedical Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798

6. School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798

Abstract

Applying electro-organic synthesis in flow configuration can potentially reduce the pharmaceutical industry's carbon footprint and simplify the reaction scale-up.

Funder

Agency for Science, Technology and Research

Publisher

Royal Society of Chemistry (RSC)

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