Gel permeation chromatography calibration based on fractal geometry

Boborodea, A. G.; Clemens, M; Daoust, Daniel; Bailly, Christian

doi:10.1002/app.20550

Cited by 2 publications

(1 citation statement)

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“…Furthermore, the fractal approach is receiving increasing attention not only on the SEC chromatographic field [14,15] but also in very different subjects such as the curing process of epoxy resins [16], the scattering behaviour of hyperbranched polymer structures [17], the stabilization process [18] and oxidation kinetics [19] of polymer melts, or the use of fractal models to account for the heat conductivity [20] and selectivity of polymer membranes [21].…”

Section: Introductionmentioning

confidence: 99%

The fractal calibration method applied to the characterization of polymers in solvent mixtures and in mixed gel packings by SEC

Porcar¹,

Garcı́a-Lopera

Abad

et al. 2007

J of Separation Science

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The size-exclusion chromatographic (SEC) behaviour of different solvent/polymer systems in three packing sets has been analysed from fractal considerations. The three-column sets studied are specifically formed by: (i) 'pure' micro-styragel, (ii) 'mixed' TSK Gel H(HR + XL + HR) and (iii) mixed TSK Gel H(XL + HR + XL). The experimental data reveals that in most of the systems assayed the classical universal calibration (UC) is not fulfilled, denoting the existence of secondary effects accompanying the main SEC mechanism. In order to obtain an accurate characterization of different polymers eluted in solvent mixtures and/or mixed packings, the use of a reliable and trusted calibration curve is required. In this sense, two alternative procedures have been analysed: the specific (SC) and the fractal (FC) calibrations. The results have evidenced that the use of the FC instead of the classical universal method diminishes up to nine times (in the case of the micro-styragel set) the mean deviation on the calculated molar mass with respect to the value given by the supplier. In the case of TSK Gel-based sets, the mean deviation is reduced to the half. The SC curve made with standards of the sample under study also reduces the mean deviation values but needs a broad set of narrow standards, whereas the fractal approach only needs one polymeric sample to build up the calibration curve.

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