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Lipid class analysis by normal phase high performance liquid chromatography, development and optimization using multivariate methods

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Summary

A general method for the analysis of lipid classes by liquid chromatography has been developed using a multivariate optimization strategy to target optimal system conditions. The method was validated using a ruggedness test in the form of a Plackett-Burman design thereby exploring the immediate region around the optimum to ensure stable analytical conditions. Detection and quantitation were optimized by a factorial design in the light scattering detector parameters thus ensuring maximum detector response. This method was found to be suitable for a broad range of lipid sources from vegetable and animal origin, examples of the separation achieved are given for oat kernel, soybean and bovine milk lipids.

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Authors and Affiliations

  1. Department of Analytical Chemistry, Stockholms University, 106 91, Stockholm, Sweden

    K. C. Arnoldsson

  2. Karlshamns LipidTeknik AB, P.O. Box 6686, 113 84, Stockholm, Sweden

    P. Kaufmann

Authors
  1. K. C. Arnoldsson
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  2. P. Kaufmann
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Arnoldsson, K.C., Kaufmann, P. Lipid class analysis by normal phase high performance liquid chromatography, development and optimization using multivariate methods. Chromatographia 38, 317–324 (1994). https://doi.org/10.1007/BF02269774

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  • DOI: https://doi.org/10.1007/BF02269774

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