Issue 37, 2014

Multicomponent diversity-oriented synthesis of symmetrical and unsymmetrical 1,4-dihydropyridines in recyclable glycine nitrate (GlyNO3) ionic liquid: a mechanistic insight using Q-TOF, ESI-MS/MS

Abstract

Multicomponent reactions are compelling strategies for generating a chemically diverse set of multifunctionalized heterocyclic motifs with high atom economy, rendering the transformations green. These strategies can further become more prolific if catalyst recyclability, compatibility and exploration of precise mechanistic pathways are considered. To this end, an inexpensive and recyclable glycine nitrate (GlyNO3) ionic liquid has been efficiently employed to obtain diversely substituted symmetrical and unsymmetrical 1,4-dihydropyridines with up to 93% yields via three and four components, respectively. The catalyst recyclability and compatibility to obtain both symmetrical and unsymmetrical 1,4 DHPs under identical reaction conditions are added benefits to its practical utility. Furthermore, progress of the reaction was monitored by Q-TOF, direct infusion electrospray ionization mass spectrometry (ESI-MS), and key cationic intermediates involved in the reaction have been further identified by a tandem MS experiment (Q-TOF, ESI-MS/MS), which served as the proof of concept to the mechanistic model. This is the first report which revealed that the Hantzsch reaction predominantly follows the diketone pathway among four competing reaction pathways.

Graphical abstract: Multicomponent diversity-oriented synthesis of symmetrical and unsymmetrical 1,4-dihydropyridines in recyclable glycine nitrate (GlyNO3) ionic liquid: a mechanistic insight using Q-TOF, ESI-MS/MS

Supplementary files

Article information

Article type
Paper
Submitted
24 Feb 2014
Accepted
28 Mar 2014
First published
28 Mar 2014

RSC Adv., 2014,4, 19111-19121

Author version available

Multicomponent diversity-oriented synthesis of symmetrical and unsymmetrical 1,4-dihydropyridines in recyclable glycine nitrate (GlyNO3) ionic liquid: a mechanistic insight using Q-TOF, ESI-MS/MS

R. Kumar, N. H. Andhare, A. Shard, Richa and A. K. Sinha, RSC Adv., 2014, 4, 19111 DOI: 10.1039/C4RA02169J

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