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Automated femtoliter droplet-based determination of oil-water partition coefficient

journal contribution
posted on 2024-11-02, 02:42 authored by Miaosi Li, Brendan DyettBrendan Dyett, Xuehua Zhang
The oil-water partition coefficient of organic compounds is an essential parameter for the determination of their behaviors in environments, food, drug delivery, and biomedical systems, just to name a few. In this work, we establish a highly efficient approach to quantify the partition/distribution coefficient using surface femtoliter droplets. In our approach, droplets of 1-octanol were produced on the surface of a solid substrate in contact with the flow of an aqueous solution of the analyte. The analyte was rapidly enriched in the droplets from the flow and reached the partition equilibrium in a few seconds. The entire procedure was automated by continuous solvent exchange, and the analyte partition in the droplets was quantified from the in situ UV-vis spectrum collected by a microspectrophotometer. Our approach was validated for several substances with the octanol-water partition/distribution coefficient ranging from -1.5 to 4, where our results were in good agreement with the values reported in the literature. This method took ∼3 min to detect one analyte with the volume of the organic solvent at ∼50 μL. Thus, our surface droplet platform can greatly minimize the consumption of both solvent and analytes and can shorten the time for the determination of the partition of new compounds, which overcomes the drawbacks of the traditional shake-flask method and presents excellent reproducibility, high accuracy, cost-effectiveness, and labor-saving operation. The highly efficient micro/nanoextraction, partition, and real-time detection enabled by the surface droplets has the potential for many other high-throughput applications.

History

Related Materials

  1. 1.
    DOI - Is published in 10.1021/acs.analchem.9b02586
  2. 2.
    ISSN - Is published in 00032700

Journal

Analytical Chemistry

Volume

91

Issue

16

Start page

10371

End page

10375

Total pages

5

Publisher

American Chemical Society

Place published

United States

Language

English

Copyright

© 2019 American Chemical Society

Former Identifier

2006094275

Esploro creation date

2020-06-22

Fedora creation date

2019-10-23

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