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ParSEC


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Innovative GPC/SEC Software: ParSEC

Software for polymer characterisation.
ParSec is currently the most user-friendly GPC/SEC software with a logical structure and unique intuitive menu navigation.
The weak points of previously available GPC software have been specifically eliminated. Navigation is entirely via pop-up menus.

Arrange a date with us for a demonstration and experience the efficiency of this new GPC-SEC Software ParSEC

Performance characteristics

Performance characteristics

  • Particularly user friendly

  • Plausibility checks during calibration provide optimum data safety

  • Smart-tile-function for optimum arrangement of data windows on the screen

  • Powerful database for efficient filing and archiving of raw data, methods and associated calibrations, together with the analytical results generated

  • Freely selectable parameters allow fast retrieval of required data. Extensive export functions are available for the further processing of data.

  • Plug and play installation

  • Stable on all Windows operating systems including 64-bit technology

available versions

available versions

ParSEC: Standard Version

  • Software for polymer characterisation via GPC systems with concentration detectors. Use of polymer standards for conventional calibration
  • Compatible with all concentration detectors
    (RI, UV-Vis/DAD, ELSD)
  • Calculates the molecular characteristics:
    Mw,Mn,Mz and polydispersity (Mw/Mn)


ParSEC: Enhanced Version

  • The complete software solution for full characterisation via multidetector-GPC
  • For data recording and evaluation of various combinations of GPC detectors
  • Direct support of SLS, RI up to 2 UV, viscosimeters and DLS from Brookhaven Instruments and WGE. Instruments from other manufacturers can be integrated
  • Calculation of the specific and intrinsic viscosity, the Mark-Houwink coefficient, the true molecular weight and the branching parameters
  • Calculation of the absolute molecular weight, Mn, Mw, Mz, Rg and MW/Mn structure coefficients, branching parameters and dn/dc from the light scattering data
  • Evaluation of online DLS data for determination of protein-protein interactions and protein aggregation