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GPC One

Software Platform for the Characterization of Polyolefins.

Polymer Char

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Description

The High Temperature GPC / SEC technique requires complex data processing as multi-detection methods become widespread. Processing all the detectors signals in a single software environment and in a uniform manner is a wish for most users. Tracking the quality of the results given by the instrument is a very important aspect to easily validate or reject a given analysis. In many cases, it is also necessary to adapt the results and to process the company unique needs.

Polymer Char’s GPC One Software platform has been developed to achieve all those goals, including also updated data acquisition hardware with multiple computer communication interfaces.

All the detectors signals are acquired and processed in a single environment in a very easy and efficient way, allowing the analysts to have reports customized without going through multiple dedicated software tools for each task.

A Statistical Quality Control database has been integrated in the software packages to help tracking the performance of the GPC / SEC instrumentation. With this new approach, the performance of all the elements in the system is monitored in a simple and efficient way by defining control charts. This ensures the reliability of the results by alerting of malfunctioning parts and other sources of error as calibration drifts or detector S/N degradation.

In addition, it is possible to customize the data processing and calibration procedures as well as the generated reports. Unique protocols that many companies need to follow for implementing specific data corrections or established calculation methods are integrated seamlessly in the standard software.

This package is provided together with Polymer Char’s GPC-IR instrument, but it is also compatible with other vendors’ GPC instruments and detectors through the Data Unit 200 device.

Application NoteGeneral Lab

A Higher Standard in Gel Permeation Chromatography Analysis for Polyolefins

Polyolefin is an industrial polymer widely used for commercial products present in everyday life. Its crystallinity affects the rigidity and flexibility of polyolefin products and is varied by the addition of comonomers into their structure. This study describes the application of Polymer Char’s GP-CIR to the study of the Polyolefin semi crystalline structure.


Application NoteSeparations

High Temperature Gel Permeation Chromatograph (GPC/SEC) With Integrated IR5 MCT Detector for Polyolefin Analysis: A Breakthrough in Sensitivity and Automation

This application note describes the full integration of the new infrared detector IR5 MCT, with outstanding sensitivity and stability into the GPC-IR instrument redesigned in 2012. Besides the IR5 MCT detector and most advanced sample preparation system, the new GPC-IR incorporates other technological developments to fulfill Polymer Char design’s philosophy, based on the principles of most reliable hardware, full automation, user friendly operation, easy maintenance and proper diagnostic tools.


Application NoteSeparations

High Temperature GPC Analysis of Polyolefins with Infrared Detection

This application note from Polymer Char highlights the fully automated GPC analysis of polyolefins using a new high temperature GPC instrument. The modern GPC-IR system incorporates all technical advances to minimize polymer shear degradation and oxidation. Very good reproducibility and easy baseline integration is obtained with the use of an infrared detector and analysis can be performed with no solvent handling and with an internal filtration system with automatic backflush.


Application NoteSeparations

Chemical Composition Analysis of Polyolefins by Multiple Detection GPC-IR5

In this application note micro-structural differences of polyethylene and polypropylene as well as the compositional variation in ethylene propylene are analysed by gel permeation chromatography techniques. Ethylene-propylene composition is analysed by GPC and multiwavelength infrared detection and by GPC with infrared, light scattering and viscosity detection. Molar mass distribution curves for three samples are made.

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