BIVARIATE DISTRIBUTION

Polymer Char's CFC and SGIC 2D instruments are designed for bivariate distribution analysis, which is a detailed study of the chemical composition and molar mass distribution of copolymers. This technique uses comprehensive two-dimensional liquid chromatography at high temperature (HT 2D-LC) with an IR detector, which provides excellent sensitivity and identification of copolymers.

The CFC instrument is an automated high-resolution cross-fractionation chromatography (CFC) system for polyolefin characterization. It is a fully-automated instrument for cross-fractionation of polyolefins, with an integrated IR5 MCT detector for concentration and composition signals. The CFC instrument also has an autosampler with 42 vials for extended analysis throughput.

The SGIC 2D instrument is a HT 2D-LC system that provides a two-dimensional separation for detailed study of chemical composition and molar mass bivariate distribution. The SGIC 2D instrument also has an IR detector for identification and quantification of copolymers.

Both instruments are ideal for the characterization of polyolefins, and can be used to study a wide range of properties, including chemical composition, molar mass distribution, branching, crosslinking, and sequence distribution

Benefits of Bivariate Distribution Analysis

Bivariate distribution analysis provides a number of benefits, including:

• Improved understanding of the chemical composition and molar mass distribution of copolymers
• Enhanced identification and quantification of copolymers
• Increased accuracy and precision of analytical results
• Reduced analysis time and cost

Applications of Bivariate Distribution Analysis

Bivariate distribution analysis is used in a variety of applications, including:

• Quality control of polymer products
• Research and development of new polymer materials
• Forensic analysis of polymers
• Environmental analysis of polymers

Manufacturer's website : http://www.polymerchar.com