IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v579y2020i7799d10.1038_s41586-020-2083-5.html
   My bibliography  Save this article

Automated radial synthesis of organic molecules

Author

Listed:
  • Sourav Chatterjee

    (Max-Planck-Institute of Colloids and Interfaces)

  • Mara Guidi

    (Max-Planck-Institute of Colloids and Interfaces
    Institute of Chemistry and Biochemistry)

  • Peter H. Seeberger

    (Max-Planck-Institute of Colloids and Interfaces
    Institute of Chemistry and Biochemistry)

  • Kerry Gilmore

    (Max-Planck-Institute of Colloids and Interfaces)

Abstract

Automated synthesis platforms accelerate and simplify the preparation of molecules by removing the physical barriers to organic synthesis. This provides unrestricted access to biopolymers and small molecules via reproducible and directly comparable chemical processes. Current automated multistep syntheses rely on either iterative1–4 or linear processes5–9, and require compromises in terms of versatility and the use of equipment. Here we report an approach towards the automated synthesis of small molecules, based on a series of continuous flow modules that are radially arranged around a central switching station. Using this approach, concise volumes can be exposed to any reaction conditions required for a desired transformation. Sequential, non-simultaneous reactions can be combined to perform multistep processes, enabling the use of variable flow rates, reuse of reactors under different conditions, and the storage of intermediates. This fully automated instrument is capable of both linear and convergent syntheses and does not require manual reconfiguration between different processes. The capabilities of this approach are demonstrated by performing optimizations and multistep syntheses of targets, varying concentrations via inline dilutions, exploring several strategies for the multistep synthesis of the anticonvulsant drug rufinamide10, synthesizing eighteen compounds of two derivative libraries that are prepared using different reaction pathways and chemistries, and using the same reagents to perform metallaphotoredox carbon–nitrogen cross-couplings11 in a photochemical module—all without instrument reconfiguration.

Suggested Citation

  • Sourav Chatterjee & Mara Guidi & Peter H. Seeberger & Kerry Gilmore, 2020. "Automated radial synthesis of organic molecules," Nature, Nature, vol. 579(7799), pages 379-384, March.
  • Handle: RePEc:nat:nature:v:579:y:2020:i:7799:d:10.1038_s41586-020-2083-5
    DOI: 10.1038/s41586-020-2083-5
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41586-020-2083-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1038/s41586-020-2083-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yifan Xie & Shuo Feng & Linxiao Deng & Aoran Cai & Liyu Gan & Zifan Jiang & Peng Yang & Guilin Ye & Zaiqing Liu & Li Wen & Qing Zhu & Wanjun Zhang & Zhanpeng Zhang & Jiahe Li & Zeyu Feng & Chutian Zha, 2023. "Inverse design of chiral functional films by a robotic AI-guided system," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    2. Artem I. Leonov & Alexander J. S. Hammer & Slawomir Lach & S. Hessam M. Mehr & Dario Caramelli & Davide Angelone & Aamir Khan & Steven O’Sullivan & Matthew Craven & Liam Wilbraham & Leroy Cronin, 2024. "An integrated self-optimizing programmable chemical synthesis and reaction engine," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    3. Jiaru Bai & Sebastian Mosbach & Connor J. Taylor & Dogancan Karan & Kok Foong Lee & Simon D. Rihm & Jethro Akroyd & Alexei A. Lapkin & Markus Kraft, 2024. "A dynamic knowledge graph approach to distributed self-driving laboratories," Nature Communications, Nature, vol. 15(1), pages 1-14, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nature:v:579:y:2020:i:7799:d:10.1038_s41586-020-2083-5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.