A multi-substrate screening approach for the identification of a broadly applicable Diels–Alder catalyst
When developing a synthetic methodology, chemists generally optimize a single substrate and then explore the substrate scope of their method. This approach has led to innumerable and widely-used chemical reactions. However, it frequently provides methods that only work on model substrate-like compou...
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Published in | Nature communications Vol. 10; no. 1; p. 770 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
London
Nature Publishing Group UK
15.02.2019
Nature Publishing Group Nature Portfolio |
Subjects | |
Online Access | Get full text |
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Summary: | When developing a synthetic methodology, chemists generally optimize a single substrate and then explore the substrate scope of their method. This approach has led to innumerable and widely-used chemical reactions. However, it frequently provides methods that only work on model substrate-like compounds. Perhaps worse, reaction conditions that would enable the conversion of other substrates may be missed. We now show that a different approach, originally proposed by Kagan, in which a collection of structurally distinct substrates are evaluated in a single reaction vessel, can not only provide information on the substrate scope at a much earlier stage in methodology development, but even lead to a broadly applicable synthetic methodology. Using this multi-substrate screening approach, we have identified an efficient and stereoselective imidodiphosphorimidate organocatalyst for scalable Diels–Alder reactions of cyclopentadiene with different classes of
α
,
β
-unsaturated aldehydes.
Investigation of a reaction scope usually starts with the optimization for a model substrate. Here, the authors apply a time-efficient multi-substrate screening approach to identify a general organocatalyst for the Diels–Alder reaction of cyclopentadiene with
α
,
β
-unsaturated aldehydes. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 2041-1723 2041-1723 |
DOI: | 10.1038/s41467-019-08374-z |