Photochemical Synthesis of the Bioactive Fragment of Salbutamol and Derivatives in a Self‐Optimizing Flow Chemistry Platform

The implementation of self-optimizing flow reactors has been mostly limited to model reactions or known synthesis routes. In this work, a self-optimizing flow photochemistry platform is used to develop an original synthesis of the bioactive fragment of Salbutamol and derivatives. The key photochemic...

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Main Authors: Gérardy, Romaric, Nambiar, Anirudh MK, Hart, Travis, Mahesh, Prajwal T, Jensen, Klavs F
Other Authors: Massachusetts Institute of Technology. Department of Chemical Engineering
Format: Article
Language:English
Published: Wiley 2022
Online Access:https://hdl.handle.net/1721.1/145714
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author Gérardy, Romaric
Nambiar, Anirudh MK
Hart, Travis
Mahesh, Prajwal T
Jensen, Klavs F
author2 Massachusetts Institute of Technology. Department of Chemical Engineering
author_facet Massachusetts Institute of Technology. Department of Chemical Engineering
Gérardy, Romaric
Nambiar, Anirudh MK
Hart, Travis
Mahesh, Prajwal T
Jensen, Klavs F
author_sort Gérardy, Romaric
collection MIT
description The implementation of self-optimizing flow reactors has been mostly limited to model reactions or known synthesis routes. In this work, a self-optimizing flow photochemistry platform is used to develop an original synthesis of the bioactive fragment of Salbutamol and derivatives. The key photochemical steps for the construction of the aryl vicinyl amino alcohol moiety consist of a C-C bond forming reaction followed by an unprecedented, high yielding (>80 %), benzylic oxidative cyclization.
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spelling mit-1721.1/1457142022-10-07T03:47:20Z Photochemical Synthesis of the Bioactive Fragment of Salbutamol and Derivatives in a Self‐Optimizing Flow Chemistry Platform Gérardy, Romaric Nambiar, Anirudh MK Hart, Travis Mahesh, Prajwal T Jensen, Klavs F Massachusetts Institute of Technology. Department of Chemical Engineering The implementation of self-optimizing flow reactors has been mostly limited to model reactions or known synthesis routes. In this work, a self-optimizing flow photochemistry platform is used to develop an original synthesis of the bioactive fragment of Salbutamol and derivatives. The key photochemical steps for the construction of the aryl vicinyl amino alcohol moiety consist of a C-C bond forming reaction followed by an unprecedented, high yielding (>80 %), benzylic oxidative cyclization. 2022-10-06T15:49:36Z 2022-10-06T15:49:36Z 2022-08 2022-10-06T15:44:13Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/145714 Gérardy, Romaric, Nambiar, Anirudh MK, Hart, Travis, Mahesh, Prajwal T and Jensen, Klavs F. 2022. "Photochemical Synthesis of the Bioactive Fragment of Salbutamol and Derivatives in a Self‐Optimizing Flow Chemistry Platform." Chemistry – A European Journal, 28 (43). en 10.1002/chem.202201385 Chemistry – A European Journal Creative Commons Attribution NonCommercial License 4.0 https://creativecommons.org/licenses/by-nc/4.0/ application/pdf Wiley Wiley
spellingShingle Gérardy, Romaric
Nambiar, Anirudh MK
Hart, Travis
Mahesh, Prajwal T
Jensen, Klavs F
Photochemical Synthesis of the Bioactive Fragment of Salbutamol and Derivatives in a Self‐Optimizing Flow Chemistry Platform
title Photochemical Synthesis of the Bioactive Fragment of Salbutamol and Derivatives in a Self‐Optimizing Flow Chemistry Platform
title_full Photochemical Synthesis of the Bioactive Fragment of Salbutamol and Derivatives in a Self‐Optimizing Flow Chemistry Platform
title_fullStr Photochemical Synthesis of the Bioactive Fragment of Salbutamol and Derivatives in a Self‐Optimizing Flow Chemistry Platform
title_full_unstemmed Photochemical Synthesis of the Bioactive Fragment of Salbutamol and Derivatives in a Self‐Optimizing Flow Chemistry Platform
title_short Photochemical Synthesis of the Bioactive Fragment of Salbutamol and Derivatives in a Self‐Optimizing Flow Chemistry Platform
title_sort photochemical synthesis of the bioactive fragment of salbutamol and derivatives in a self optimizing flow chemistry platform
url https://hdl.handle.net/1721.1/145714
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