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Handbook of Size Exclusion Chromatography and Related ...

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valuesfork1,k2,<strong>and</strong>a,theunknownmolecular weightM1 canbecalculatedfrom<br />

Eq. (14):<br />

M1 ¼ k2<br />

k1<br />

{M a2<br />

2 }<br />

1=a1<br />

(14)<br />

where M2 is the molecular weight determined by the peak position calibration<br />

curvemethod,k1 isthecoefficient<strong>of</strong>theanalyzedpolymer,k2 isthecoefficient<strong>of</strong><br />

the molecular weight st<strong>and</strong>ard, <strong>and</strong> a1 <strong>and</strong> a2 are the second coefficients <strong>of</strong> the<br />

polymer <strong>and</strong> the molecular weight st<strong>and</strong>ard, respectively.Equations (15) <strong>and</strong> (16)<br />

show how k<strong>and</strong> aare calculated:<br />

k¼6:19 10 9 K 1=3<br />

(15)<br />

a¼ 1<br />

3 (1þa) (16)<br />

where K <strong>and</strong> aare Mark–Houwink constants that account for the molecular<br />

weight dependence <strong>of</strong> the intrinsic viscosity.The universal calibration method is<br />

broadly applicable given the availability <strong>of</strong> Mark–Houwink constants. Reference<br />

86 summarizes Mark–Houwink constants for anumber <strong>of</strong> common polymers.<br />

Sources <strong>of</strong> error for the universal calibration method are discussed in Refs 8, 85,<br />

<strong>and</strong> 87. As can be expected, serious errors occur if mechanisms other than size<br />

exclusion are at work. Cassassa (88) stated that [h]MW is not atrue universal<br />

elution parameter, although both theory <strong>and</strong> experience indicate good results for<br />

species <strong>of</strong> similar type. Based on theoretical considerations, Cassassa predicted a<br />

common [h]MW dependence, however, between r<strong>and</strong>om coil polymers <strong>and</strong><br />

rodlike structures over anarrow range <strong>of</strong> molecular weight. Indeed, agood fit to<br />

universal calibration for dextrans <strong>and</strong> some native proteins was found over a<br />

narrow (1 10 6 to1.2 10 7 )molecular weight range (89).<br />

It was mentioned earlier in this section that the hydrodynamic volume <strong>and</strong><br />

shape <strong>of</strong> the st<strong>and</strong>ards, in addition to their molecular weight, plays arole in<br />

calibration. Aclaim can be made that the elution behavior <strong>of</strong> aprotein is better<br />

related to its Stokes radius RS than to its molecular weight (90). However, this<br />

relationship is not widely employed. The plot <strong>of</strong> RS vs. the inverse error function<br />

erf <strong>of</strong> (1 KD) can be linear if the pore distribution is Gaussian with respect to<br />

the Stokes radii <strong>of</strong> the macromolecules. Work with detergent-soluble membrane<br />

proteins emphasizes the need to calibrate with similar st<strong>and</strong>ards <strong>and</strong> the<br />

effectiveness <strong>of</strong> RS plots (90). Different st<strong>and</strong>ards are required for water-soluble<br />

globular <strong>and</strong> detergent-soluble membrane proteins. Often the membrane proteins<br />

may be excluded or retarded. Asmooth, although nonlinear, relationship was<br />

obtained for the plot <strong>of</strong> RS vs. erf (1 KD), <strong>and</strong> ascatter <strong>of</strong> points was observed<br />

for logMW vs.KD.Detergent-boundproteins behavedifferently,<strong>and</strong>theirStokes<br />

radii may be <strong>of</strong>f by 10–30% when calibration curves are based on the elution<br />

volumes <strong>of</strong> water-soluble proteins. Figure 12 (90) shows the selectivity curve for<br />

© 2004 by Marcel Dekker, Inc.

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