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Handbook of Size Exclusion Chromatography and Related ...

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the total area into up to 12 sections. Correlations were then attempted using some<br />

or all <strong>of</strong> the sections as parameters. A good correlation with temperature<br />

susceptibility was obtained using three <strong>of</strong> twelve sections chosen statistically.<br />

Kim et al. (133) used slices <strong>of</strong> SEC chromatographs to predict the properties<br />

<strong>of</strong> dry <strong>and</strong> water-soaked compacted asphalt, aggregate mixes, <strong>and</strong> road cores.<br />

Chromatographs <strong>of</strong> neat <strong>and</strong> solvent-extracted material were divided into ten slices<br />

<strong>and</strong> correlated to tensile strength <strong>and</strong> the resilient modulus <strong>of</strong> the mixes. Using all<br />

ten slices some very good correlations were obtained <strong>and</strong> fair correlations were<br />

obtained using three slices in the LMS region for the dry mixes. Viscosity <strong>and</strong><br />

penetration <strong>of</strong> 27 asphalts before <strong>and</strong> after aging were correlated with ten slices<br />

<strong>and</strong> reduced sets chosen statistically (62).<br />

Similar studies (32,65) have been reported that include modified asphalts.<br />

Correlations were attempted with a variety <strong>of</strong> properties including Superpave<br />

performance specifications (134). Up to 12 slices were included in the<br />

correlations, which improved steadily with the number <strong>of</strong> slices. Correlation<br />

was much better with equal time slices than with equal area slices, but only a few<br />

were good. The inclusion <strong>of</strong> modified asphalts, which have a large effect on the<br />

LMS region, doubtless affected the results.<br />

3.4 Determination <strong>of</strong> Asphalt Molecular Weight Distribution<br />

Because SEC responds directly to apparent molecular size, it appears to be a<br />

simple method for obtaining the molecular weight distribution <strong>of</strong> asphalt.<br />

However, it turns out not to be a straightforward determination for a number <strong>of</strong><br />

reasons. The first, already discussed, is that some asphaltic fractions associate in<br />

solution. These same fractions also may tend to be adsorbed in the column. A final<br />

factor is the chemical complexity <strong>of</strong> asphalt. It is well known that the order <strong>of</strong><br />

elution <strong>of</strong> polar <strong>and</strong> nonpolar compounds can be considerably altered by changing<br />

solvents, so it is difficult to choose calibrating compounds for such a complex<br />

mixture.<br />

The common calibration procedure for asphalt depends on preparative SEC<br />

fractionation. Fractions thus obtained are then subjected to analytical SEC analysis<br />

to obtain mean elution values, <strong>and</strong> the fraction molecular weights are determined<br />

by an independent method, such as VPO. In general, a single plot <strong>of</strong> molecular<br />

weight vs. elution volume holds rather well for most asphalts (12), but upon aging<br />

asphalts by air blowing, a series <strong>of</strong> such curves is produced for different degrees <strong>of</strong><br />

hardening (26).<br />

Molecular weight–elution volume curves are actually very sensitive to<br />

composition. Champagne et al. (73) plotted molecular weight vs. retention time<br />

for a series <strong>of</strong> pure compounds along with polystyrenes, obtaining separate <strong>and</strong><br />

distinct curves for the polystyrenes, long-chain asphaltenes, <strong>and</strong> nonfused<br />

polyaromatics. For fused polyaromatics scatter was obtained.<br />

© 2004 by Marcel Dekker, Inc.

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