JOURNAL ARTICLE
TMSCl Promoted Direct Conversion of Cyclic Anhydrides to (Un)Symmetric‐Diesters/Amide Esters.
Published In: Chemistry - An Asian Journal, 2024, v. 19, n. 3. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Johny, Meera; Manikandan, Amuda; Rajendar, Goreti 3 of 3
Abstract
We present a mild, efficient, and one‐pot method for the silyl‐promoted transformation of cyclic anhydrides into homo‐ and hetero‐dicarboxylic acid diesters and amide esters. This versatile reaction operates under ambient conditions, on a gram scale, and accommodates a wide range of alcohols, amines, and cyclic anhydrides. The one‐pot process involves a two‐step sequence, starting with the nucleophilic opening of anhydride by an amine or alcohol, followed by esterification. TMSCl serves a dual role, acting as a sacrificial reagent to remove in situ water and as a Lewis acid to promote the anhydride opening. The reaction proceeds successfully in the absence and presence of a base, as confirmed by NMR and crossover experiments, which validated the formation of dicarboxylic acid monoester and alkyl silyl mixed diester respectively. Controlled experiments have shown that the one‐pot process yields higher efficiencies when compared to the same reaction conducted using a two‐step process. This is the first comprehensive study demonstrating a broad substrate scope for the conversion of cyclic anhydride into diesters and amide esters. The method finds application in the synthesis of various commercial plasticizers. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Chemistry - An Asian Journal. 2024/02, Vol. 19, Issue 3, p1
- Document Type:Article
- Subject Area:Chemistry
- Publication Date:2024
- ISSN:1861-4728
- DOI:10.1002/asia.202301017
- Accession Number:175417475
- Copyright Statement:Copyright of Chemistry - An Asian Journal is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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