• Title of article

    Predicting the chromatographic retention of polymers: Application of the polymer model to poly(styrene/ethylacrylate)copolymers

  • Author/Authors

    Bashir، نويسنده , , Mubasher A. and Radke، نويسنده , , Wolfgang، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2012
  • Pages
    6
  • From page
    107
  • To page
    112
  • Abstract
    The retention behavior of a range of statistical poly(styrene/ethylacrylate) copolymers is investigated, in order to determine the possibility to predict retention volumes of these copolymers based on a suitable chromatographic retention model. It was found that the composition of elution in gradient chromatography of the copolymers is closely related to the eluent composition at which, in isocratic chromatography, the transition from elution in adsorption to exclusion mode occurs. For homopolymers this transition takes place at a critical eluent composition at which the molar mass dependence of elution volume vanishes. Thus, similar critical eluent compositions can be defined for statistical copolymers. The existence of a critical eluent composition is further supported by the narrower peak width, indicating that the broad molar mass distribution of the samples does not contribute to the retention volume. It is shown that the existing retention model for homopolymers allows for correct quantitative predictions of retention volumes based on only three appropriate initial experiments. The selection of these initial experiments involves a gradient run and two isocratic experiments, one at the composition of elution calculated from first gradient run and second at a slightly higher eluent strength.
  • Keywords
    Critical chromatography , Size exclusion chromatography , Adsorption chromatography , Retention models , Gradient chromatography , Statistical copolymers , Polymer chromatography
  • Journal title
    Journal of Chromatography A
  • Serial Year
    2012
  • Journal title
    Journal of Chromatography A
  • Record number

    1514891