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Handbook of Size Exclusion Chromatography and Related ...

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was predicted by the mathematical model: (a) the bivariate distribution <strong>of</strong><br />

molecular weights <strong>and</strong> chemical composition <strong>of</strong> Fig. 3b, (b) the MWD <strong>of</strong> Fig. 3c,<br />

<strong>and</strong> (c) the BD <strong>of</strong> Fig. 3d. The bivariate distribution indicates that the average<br />

composition is almost independent <strong>of</strong> the molar mass, <strong>and</strong> that the derived<br />

univariate CCD is expected to be quite broad. The experimental MWD is broader<br />

than the theoretical MWD (Fig. 3c). The experimental BD is quite similar to the<br />

theoretical BD (Fig. 3d).<br />

The mathematical model also predicted the MWDs <strong>of</strong> the different branched<br />

topologies that integrate the total graft copolymer (Fig. 3c). Each branched<br />

topology b (¼ 1, 2, 3, ...) is characterized by the number <strong>of</strong> trifunctional grafting<br />

points per molecule. The MWD <strong>of</strong> the total copolymer is obtained by adding the<br />

individual MWDs (Fig. 3c). The areas under the individual MWDs <strong>of</strong> Fig. 3c are<br />

represented by vertical bars in the theoretical BD <strong>of</strong> Fig. 3d. An important<br />

observation is that the MWDs <strong>of</strong> the individual topologies are relatively little<br />

overlapped at the low molar masses, but moderately overlapped at the high molar<br />

masses. For this reason, a good fractionation according to the number <strong>of</strong> branches<br />

is expected to be produced at the low molar masses, while a relatively poorer<br />

fractionation is expected to occur at the high molar masses.<br />

5 REFERENCES<br />

1. S Mori, T Suzuki. Problems in determining compositional heterogeneity <strong>of</strong><br />

copolymers by size-exclusion chromatography <strong>and</strong> UV-RI detection system. J Liq<br />

Chromatogr 4:1685–1696, 1982.<br />

2. LH García-Rubio, JF MacGregor, AE Hamielec. <strong>Size</strong> exclusion chromatography <strong>of</strong><br />

copolymers. In: C Craver, ed. Polymer Characterization. Spectroscopic, Chromatographic,<br />

<strong>and</strong> Physical Instrumental Methods. Adv Chem Ser 203. Washington, DC:<br />

American Chemical Society, 1983, pp 311–344.<br />

3. GR Meira, LH García-Rubio. Corrections for instrumental <strong>and</strong> secondary broadening<br />

in the chromatographic analysis <strong>of</strong> linear copolymers. J Liq Chromatogr<br />

12:997–1021, 1989.<br />

4. GR Meira. Data reduction in size exclusion chromatography <strong>of</strong> polymers. In: HG<br />

Barth, JW Mays, ed. Modern Methods <strong>of</strong> Polymer Characterization. New York: John<br />

Wiley & Sons, Inc., 1991, pp 67–101.<br />

5. ST Balke, TH Mourey, TC Schunk. <strong>Size</strong> exclusion chromatography: practical<br />

methods for quantitative results. Polym React Eng 7:429–452, 1999.<br />

6. P Kilz. Copolymer analysis by LC methods, including two-dimensional<br />

chromatography. In: J Cazes, ed. Encyclopedia <strong>of</strong> <strong>Chromatography</strong>. New York:<br />

Marcel Dekker, Inc., 2001, pp 195–200.<br />

7. S Mori. Copolymer composition by GPC-SEC. In: J Cazes, ed. Encyclopedia <strong>of</strong><br />

<strong>Chromatography</strong>. New York: Marcel Dekker, Inc., 2001, pp 200–202.<br />

8. C Hagiopol. Copolymerization. Toward a Systematic Approach. New York: Kluwer<br />

Academic/Plenum Publishers, 1999, pp 1–18.<br />

© 2004 by Marcel Dekker, Inc.

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