Unconventional approaches for the introduction of sulfur-based functional groups.


Journal

Organic & biomolecular chemistry
ISSN: 1477-0539
Titre abrégé: Org Biomol Chem
Pays: England
ID NLM: 101154995

Informations de publication

Date de publication:
28 08 2021
Historique:
pubmed: 2 8 2021
medline: 11 3 2022
entrez: 1 8 2021
Statut: ppublish

Résumé

Organosulfur compounds have a pivotal role in the functionalities of many natural products, pharmaceuticals and organic materials. For these reasons, the search for new methodologies for the formation of carbon-sulfur bonds has been the object of intensive work for organic chemists. However, the proposed strategies suffer from various drawbacks, such as volatility, toxicity, and instability of the sulfur sources or the use of VOC solvents. In this review, we summarise the recent protocols which have the goal of obtaining sulfones, thioethers, thiazines, thiazepines and sulfonamides in an unconventional and/or sustainable way. The use of starting materials less invasive and toxic with respect to the traditional reagents, alternative solvents such as water, ionic liquids or deep eutectic solvents, the exploitation of ultrasound and electrochemistry, increasing the efficiency of the process, are reported. Moreover, representative reaction mechanisms are also discussed.

Identifiants

pubmed: 34333579
doi: 10.1039/d1ob01091c
doi:

Substances chimiques

Ionic Liquids 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

6926-6957

Auteurs

Alberto Lanfranco (A)

Department of Chemistry, University of Torino, Via Giuria, 7, Torino, 10125, Italy. polyssena.renzi@unito.it.

Articles similaires

Ionic Liquids Molecular Dynamics Simulation Viscosity Thermal Conductivity Temperature
Lignin Biomass Biofuels Sorghum Ionic Liquids
Ionic Liquids Pyridinium Compounds Molecular Docking Simulation Herbicides Structure-Activity Relationship
1.00
Ionic Liquids Quinolines Green Chemistry Technology Anti-Infective Agents

Classifications MeSH