Water Mediated Chemoselective Synthesis of Novel Spiro Benzoxazinoindoline and Extended Synthesis of Spiro Benzoxazinoindene Derivatives*.

  • Published In: European Journal of Organic Chemistry, 2025, v. 28, n. 16. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Bansal, Diksha; Sivaganesan, Pooja; Elanchezhian, Chibisree; Nataraj, Gokulprasanth; Das, Mrinal Kanti; Chaudhuri, Saikat 3 of 3

Abstract

Spirobenzoxazines are a unique class of heterocyclic compounds that combine the structural features of spiro and benzooxazine frameworks, offering enhanced chemical stability and diverse biological activities. Their rigid three‐dimensional structures make them ideal candidates for interacting with biological targets, contributing to their potential in various therapeutic applications, including anticancer, antimicrobial, and enzyme inhibition. However, the development of efficient and sustainable methods for the synthesis of spirobenzoxazines remains a challenge in organic synthesis. In this work, we present a novel and environmentally friendly approach for the synthesis of spirobenzoxazine derivatives. Utilizing water as a green solvent, this methodology offers an efficient and sustainable route for constructing these complex heterocyclic frameworks. By emphasizing eco‐friendly practices, this approach aligns with the principles of green chemistry, providing both high yields and operational simplicity. This advancement not only highlights the potential of spirobenzoxazines in the pharmaceutical and material sciences but also paves the way for future research in sustainable synthetic methodologies. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:European Journal of Organic Chemistry. 2025/04, Vol. 28, Issue 16, p1
  • Document Type:Article
  • Subject Area:Chemistry
  • Publication Date:2025
  • ISSN:1434-193X
  • DOI:10.1002/ejoc.202401488
  • Accession Number:184801539
  • Copyright Statement:Copyright of European Journal of Organic Chemistry 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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