Organic synthesis in a modular robotic system driven by a chemical programming language

The synthesis of complex organic compounds is largely a manual process that is often incompletely documented. To address these shortcomings, we developed an abstraction that maps commonly reported methodological instructions into discrete steps amenable to automation. These unit operations were impl...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Science (American Association for the Advancement of Science) Jg. 363; H. 6423
Hauptverfasser: Steiner, Sebastian, Wolf, Jakob, Glatzel, Stefan, Andreou, Anna, Granda, Jarosław M, Keenan, Graham, Hinkley, Trevor, Aragon-Camarasa, Gerardo, Kitson, Philip J, Angelone, Davide, Cronin, Leroy
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States 11.01.2019
ISSN:1095-9203, 1095-9203
Online-Zugang:Weitere Angaben
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:The synthesis of complex organic compounds is largely a manual process that is often incompletely documented. To address these shortcomings, we developed an abstraction that maps commonly reported methodological instructions into discrete steps amenable to automation. These unit operations were implemented in a modular robotic platform by using a chemical programming language that formalizes and controls the assembly of the molecules. We validated the concept by directing the automated system to synthesize three pharmaceutical compounds, diphenhydramine hydrochloride, rufinamide, and sildenafil, without any human intervention. Yields and purities of products and intermediates were comparable to or better than those achieved manually. The syntheses are captured as digital code that can be published, versioned, and transferred flexibly between platforms with no modification, thereby greatly enhancing reproducibility and reliable access to complex molecules.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1095-9203
1095-9203
DOI:10.1126/science.aav2211