Open Access
CC BY 4.0 · SynOpen 2023; 07(01): 29-32
DOI: 10.1055/a-1996-8940
letter

Organocatalytic Synthesis of γ-Amino Acid Precursors via Masked Acetaldehyde under Micellar Catalysis

Maria Edith Casacchia
a   Dipartimento di Scienze Fisiche e Chimiche, Università degli Studi dell’Aquila, Via Vetoio, 67100 L’Aquila, Italy
b   IUSS Scuola Universitaria Superiore di Pavia, Palazzo del Broletto, Piazza della Vittoria, 15 27100, Pavia, Italy
,
Giuliana Giorgianni
a   Dipartimento di Scienze Fisiche e Chimiche, Università degli Studi dell’Aquila, Via Vetoio, 67100 L’Aquila, Italy
,
Elena Allegritti
a   Dipartimento di Scienze Fisiche e Chimiche, Università degli Studi dell’Aquila, Via Vetoio, 67100 L’Aquila, Italy
,
Luisa Giansanti
a   Dipartimento di Scienze Fisiche e Chimiche, Università degli Studi dell’Aquila, Via Vetoio, 67100 L’Aquila, Italy
,
a   Dipartimento di Scienze Fisiche e Chimiche, Università degli Studi dell’Aquila, Via Vetoio, 67100 L’Aquila, Italy
c   INSTM, Consorzio Nazionale per la Scienza e Tecnologia dei Materiali, RU L’Aquila, Italy
,
a   Dipartimento di Scienze Fisiche e Chimiche, Università degli Studi dell’Aquila, Via Vetoio, 67100 L’Aquila, Italy
› Author Affiliations

G.G. is grateful to Ministero dell'Università e della Ricerca (PON-DOT13OV2OC) for an industrial PhD fellowship. F.P. also thanks Ministero dell'Università e della Ricerca (PON-AIM1842894, CUP-E18D19000560001) for funding this research.


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Abstract

The development of micellar catalysis offers a sustainable alternative to organic solvents, and represents an environmental milestone in organic synthesis. Here, the first Michael addition of masked acetaldehyde under neutral, cationic and anionic micellar catalysis is reported, affording the products in high yields and enantiomeric excess, despite the use of water as solvent.

Supporting Information



Publication History

Received: 15 November 2022

Accepted after revision: 12 December 2022

Accepted Manuscript online:
12 December 2022

Article published online:
30 January 2023

© 2022. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by/4.0/)

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