Issue 5, 2023

Dichloromethane replacement: towards greener chromatography via Kirkwood–Buff integrals

Abstract

Dichloromethane (DCM) is a useful and advantageous solvent used in pharmaceutical development due to its low cost, miscibility with other organic solvents, high volatility, and ability to solubilize drug molecules of variable polarities and functionalities. Despite this favourable behaviour, efforts to identify safer and more sustainable alternatives to hazardous, halogenated solvents is imperative to the expansion of green chemistry. In this work, bio-derived esters tert-butyl acetate, sec-butyl acetate, ethyl isobutyrate, and methyl pivalate are experimentally identified as safe and sustainable alternatives to directly replace DCM within thin-layer chromatography (TLC) in the analysis of small, common drug molecules. To elucidate the intermolecular interactions influencing retardation factors (Rf) a statistical thermodynamic framework, which quantifies the driving molecular interactions that yield empirical TLC measurements, is presented. Within this framework, we are able to deduce Rf dependence on polar eluent concentration, in the presence of a low-polar mediating solvent, between the stationary and mobile phases. The strength of competitive analyte–eluent (and analyte–solvent interactions) are quantified through Kirkwood–Buff integrals (KBIs); resulting KBI terms at the dilute eluent limit provide a theoretical foundation for the observed suitability of alternative green solvents for the replacement of dichloromethane in TLC.

Graphical abstract: Dichloromethane replacement: towards greener chromatography via Kirkwood–Buff integrals

Supplementary files

Article information

Article type
Paper
Submitted
08 Aug 2022
Accepted
26 Dec 2022
First published
13 Jan 2023
This article is Open Access
Creative Commons BY-NC license

Anal. Methods, 2023,15, 596-605

Dichloromethane replacement: towards greener chromatography via Kirkwood–Buff integrals

J. Lynch, J. Sherwood, C. R. McElroy, J. Murray and S. Shimizu, Anal. Methods, 2023, 15, 596 DOI: 10.1039/D2AY01266A

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