Application of a Multiple Linear Regression Model to Fixed Bands IR Detector Data in GPC-IR Analysis of Polyolefins

Polyolefin Characterization, ICPC 2008. Macromolecular Symposia.
Volume 282, 2009, Pages 65-70.
A. Ortín, B. Monrabal, J. Montesinos, P. del Hierro.
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An infrared detector based on a set of narrow band optical filters was coupled to a high temperature Gel Permeation Chromatograph (GPC) producing continuous chromatograms of absorbance after the molar mass fractionation. A multiple linear regression (MLR) model was established to relate the measured absorbance to the average octene weight percent in industrial ethylene-octene copolymer samples. This method is compared to univariate and multivariate band ratio models. The application of these models to produce molar mass compositional distributions is also outlined.

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