Issue 18, 2021

Continuous and automated slug flow nanoextraction for rapid partition coefficient measurement

Abstract

Octanol–water partition coefficients (log Kow) are widely used in pharmaceutical and environmental chemistry to assess the lipophilicity of compounds. Traditionally log Kow is determined using a shake-flask method that uses milliliters of sample and solvent and requires hours for preparation, extraction, and analysis. Here, we report an automated system for rapid log Kow determination for an array of compounds using slug flow nanoextraction (SFNE) enabled by a microfluidic chip. In the method, an autosampler is used to introduce 1 μL of sample into a microfluidic device that segments the injected volume into a series of 4 nL slugs that are each paired to an adjacent octanol slug. Each octanol–water phase pair is compartmentalized by an immiscible fluorous carrier fluid. During flow, rapid extraction occurs at each octanol–water interface. The resulting linear array of slugs flows into an online UV absorbance detector that is used to determine concentrations in the phases, allowing the log Kow to be measured. The microfluidic device allows toggling between two-phase “aqueous plug” generation (aqueous sample separated by fluorous carrier fluid) and three-phase “phase pair” generation. In this way, online calibration for detection in the aqueous phase can be achieved. The method is applied to determining log Kow for a panel of seven pharmaceutical compounds, including complete calibration curves, at three different pHs in under 2 h using 5 μL of extraction standard and 2.9 μL of octanol per extraction standard analyzed.

Graphical abstract: Continuous and automated slug flow nanoextraction for rapid partition coefficient measurement

Supplementary files

Article information

Article type
Paper
Submitted
29 Jun 2021
Accepted
13 Aug 2021
First published
16 Aug 2021

Analyst, 2021,146, 5722-5731

Continuous and automated slug flow nanoextraction for rapid partition coefficient measurement

E. M. Payne, S. S. Wells and R. T. Kennedy, Analyst, 2021, 146, 5722 DOI: 10.1039/D1AN01156A

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