SGIC 2D Instrument from Polymer Char

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SGIC 2D Instrument

Description

The Two-Dimensional Solvent Gradient Interaction Chromatograph (SGIC 2D) instrument is the only high temperature SGIC equipment commercially available. The system performs an analytical fractionation of the polymer according to chemical composition by selective adsorption/desorption on a HPLC column, followed by a second separation according to molar mass on a GPC/SEC column.

The instrument is fully automated and the whole process is controlled by the virtual instrumentation software. The detection is done by a standard infrared detector at the exit of the GPC/SEC columns, which provides a linear response and an outstanding stability, overcoming the limitations in detection found in single dimension SGIC due to the varying mobile phase composition (using TCB as second solvent).

At the end of the analysis, the two-dimensional distribution interrelating molar mass and chemical composition is obtained. This combined information is often required for comprehensive characterization of complex materials. The SGIC 2D is especially suitable for the analysis of samples of low crystallinity or complex polarity distribution, when the classic cross-fractionation technique based on crystallization (TREF-GPC) does not provide the desired separation.

The composition molar mass interdependence is measured in hours instead of days, with limited solvent consumption and no manual intervention, in an intrinsically safe set-up.

Features
  • Fully automated instrument to measure the chemical composition – molar mass interdependence of complex and functional Polyolefins.
  • Of special interest for polar or low crystallinity Polyolefins.
  • Detection performed in TCB and in isocratic mode: a linear IR detector can be used instead of a non-linear ELSD. Compatible with molar-mass
  • -sensitive detectors.
  • No solvents handling, fully automated process, including in-line filtration.
  • Flexible definition of the number of fractions and the solvent gradient profile.
  • Bivariate distribution results presented as contour or 3D surface graphs.
  • Automated analysis of a sequence of samples, with flexibility to use different methods for each one.