Octanol-Water Partition Coefficients by Capillary Electrophoresis

Abstract

We have investigated the use of capillary electrophoresis (CE) for the modeling of octanol-water partition coefficients. Reversed-phase liquid chromatography (RPLC) is likely the most used method for estimation of octanol-water partition coefficients, with correlations from approximately 0.5 to 0.000, depending on the column and compounds tested. RPLC will never be a reliable method, however, because of variability in the chemistry of the stationary phase from column to column. Capillary electrophoresis is a much simpler system, as there is no true stationary phase, and there should be dramatically less variation from laboratory to laboratory. We have shown that CE can give a single point estimate of the octanol-water partition co-efficient. Specifically, micellar electrokinetic capillary chromatography (MECC), the micellar variant of the CE experiment, was evaluated as an a priori predictor of n-octanol-water partition coefficients (log Ko/w). Over 100 solutes with widely varying functionality were used to construct a universal calibration for estimation of octanol-water partition coefficients with r2 - 0.835. The calibration covers in excess of 9 orders of magnitude in log Ko/w. This method reduces the laboratory-to-laboratory variability and the long analysis time due to the multiple mobile phases necessary in current HPLC methods while retaining many of the desired advantages of chromatographic techniques.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1996
Accession Number
ADA335729

Entities

People

  • John G. Dorsey

Organizations

  • Florida State University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Calibration
  • Capillary Electrophoresis
  • Chemistry
  • Chromatography
  • Classification
  • Coefficients
  • Electrophoresis
  • Liquid Chromatography
  • Measurement
  • Microvessels
  • Phase Transformations
  • Raman Spectroscopy
  • Security
  • Stationary

Fields of Study

  • Chemistry

Readers

  • Agricultural Chemistry/Soil Science
  • Computational Modeling and Simulation
  • Statistical inference.