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Handbook of Size Exclusion Chromatography and Related ...

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These include the differential weight fraction distributions <strong>of</strong> both mass <strong>and</strong> size,<br />

the corresponding cumulative distributions, the conformation plot (log Mw vs.<br />

log rg), as well as the “calibration” curve (log Mw vs. elution volume) <strong>and</strong> related<br />

plots. Details <strong>of</strong> these quantities are described in Shortt’s article (17).<br />

Because the MALS s<strong>of</strong>tware calculates both Mw <strong>and</strong> rg (for large enough<br />

molecules) throughout the separated distributions present in the samples, for a<br />

variety <strong>of</strong> molecular species one may calculate the eluting sample’s intrinsic<br />

viscosity, [h], at each slice using the Flory–Fox equation (18):<br />

pffiffiffi Mw[h] ¼ F( 6rg)<br />

3<br />

where F(;F0 ¼ 2:87 10 23 ) is the so-called Flory viscosity constant. In<br />

general, the excluded volume effect is taken into account via the Ptitsyn–Eizner<br />

equation (19) F ¼ F0(1 2:631 þ 2:861 2 ) <strong>and</strong> 1 ranges from 0 at the theta point<br />

to 0.2 for a good solvent. The s<strong>of</strong>tware can then calculate <strong>and</strong> plot the so-called<br />

Mark–Houwink–Sakurada plot. An example for the NIST broad polystyrene<br />

st<strong>and</strong>ard NBS706 is shown in Fig. 6.<br />

B<strong>and</strong> broadening plays a major role in distorting the calibration curve<br />

(log Mw vs. elution volume V ) <strong>of</strong> eluting species <strong>of</strong> extremely narrow size<br />

distribution. This is particularly noticeable for proteins whose masses (following<br />

separation <strong>of</strong> aggregates) should be monodisperse. Over the years, numerous<br />

papers <strong>and</strong> books have been written on the subject <strong>of</strong> correcting for such<br />

© 2004 by Marcel Dekker, Inc.<br />

Figure 6 MHS plot <strong>of</strong> NBS706.<br />

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