Search Results - "van Zomeren, P V"

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  1. 1

    Optimisation of high-performance liquid chromatography with diode array detection using an automatic peak tracking procedure based on augmented iterative target transformation factor analysis by van Zomeren, P V, Hoogvorst, A, Coenegracht, P M J, de Jong, G J

    Published in Analyst (London) (01-01-2004)
    “…An automated method for the optimisation of high-performance liquid chromatography is developed. First of all, the sample of interest is analysed with various…”
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    Journal Article
  2. 2

    Resolution optimisation in micellar electrokinetic chromatography using empirical models by van Zomeren, P.V., Hilhorst, M.J., Coenegracht, P.M.J., de Jong, G.J.

    Published in Journal of Chromatography A (21-01-2000)
    “…Theoretical and empirical models can be used to model the migration or separation characteristics in micellar electrokinetic chromatography in order to…”
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  3. 3

    Comparison of several curve resolution methods for drug impurity profiling using high-performance liquid chromatography with diode array detection by van Zomeren, P.V, Darwinkel, H, Coenegracht, P.M.J, de Jong, G.J

    Published in Analytica chimica acta (08-07-2003)
    “…The performance of five curve resolution methods was compared systematically for the identification and quantification of impurities in drug impurity…”
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  4. 4

    Simultaneous resolution of overlapping peaks in high-performance liquid chromatography and micellar electrokinetic chromatography with diode array detection using augmented iterative target transformation factor analysis by van Zomeren, P.V., Metting, H.J., Coenegracht, P.M.J., de Jong, G.J.

    Published in Journal of Chromatography A (25-11-2005)
    “…In this paper, augmentation has been applied to data matrices, which originate from hyphenated methods that share the same mode of detection, but use different…”
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    Journal Article
  5. 5

    Comparison of migration modeling in micellar electrokinetic chromatography by linear regression and by use of an artificial neural network by Metting, H. J, van Zomeren, P. V, van der Ley, C. P, Coenegracht, P. M. J, de Jong, G. J

    Published in Chromatographia (2000)
    “…The concentrations of modifier (methanol or acetonitrile) and surfactant (sodium dodecyl sulfate, SDS) in the running buffer are important factors influencing…”
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