28.02.2013 Views

Handbook of Solvents - George Wypych - ChemTech - Ventech!

Handbook of Solvents - George Wypych - ChemTech - Ventech!

Handbook of Solvents - George Wypych - ChemTech - Ventech!

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

298 Kenneth A. Connors<br />

5.5.3.6 Liquid chromatography<br />

In reverse phase high-pressure liquid chromatography (RP HPLC), the mobile phase is usually<br />

an aqueous-organic mixture, permitting the phenomenological theory to be applied.<br />

LePree and Cancino 23 carried out this analysis. The composition-dependent variable is the<br />

capacity factor k ′ , defined by eq. [5.5.51],<br />

V −V<br />

k′ =<br />

V<br />

R M<br />

M<br />

t − t<br />

=<br />

t<br />

R M<br />

M<br />

[5.5.51]<br />

where VR is the retention volume <strong>of</strong> a solute, tR is the retention time, VM is the column dead<br />

volume (void volume), and tM is the dead time. It is seldom possible in these systems to use<br />

pure water as the mobile phase, so LePree reversed the usual calculational procedure, in<br />

which water is the reference solvent, by making the pure organic cosolvent the reference.<br />

This has the effect <strong>of</strong> converting the solvation constants K1 and K2 to their reciprocals, but<br />

the form <strong>of</strong> the equations is unchanged. For some solvent systems a 1-step model was adequate,<br />

but others required the 2-step model. Solvation constant values (remember that these<br />

are the reciprocals <strong>of</strong> the earlier parameters with these labels) were mostly in the range 0.1<br />

to 0.9, and the gA values were found to be directly proportional to the nonpolar surface areas<br />

<strong>of</strong> the solutes. This approach appears to <strong>of</strong>fer advantages over earlier theories in this application<br />

because <strong>of</strong> its physical significance and its potential for predicting retention<br />

behavior.<br />

5.5.4 INTERPRETATIONS<br />

The very general success <strong>of</strong> the phenomenological theory in quantitatively describing the<br />

composition dependence <strong>of</strong> many chemical and physical processes arises from the treatment<br />

<strong>of</strong> solvation effects by a stoichiometric equilibrium model. It is this model that provides<br />

the functional form <strong>of</strong> the theory, which also includes a general medium effect<br />

(interpreted as the solvophobic effect) that is functionally coupled to the solvation effect.<br />

The parameters <strong>of</strong> the theory appear to have physical significance, and on the basis <strong>of</strong> much<br />

experimental work they can be successfully generated or predicted by means <strong>of</strong> empirical<br />

correlations. The theory does not include molecular parameters (such as dipole moments or<br />

polarizabilities), and this circumstance deprives it <strong>of</strong> any fundamental status, yet at the same<br />

time enhances its applicability to the solution <strong>of</strong> practical laboratory problems. Notwithstanding<br />

the widespread quantitative success <strong>of</strong> the theory, however, some <strong>of</strong> the observed<br />

parameter values have elicited concern about their physical meaning, and it is to address<br />

these issues, one <strong>of</strong> which is mentioned in 5.5.3.1, that the present section is included.<br />

5.5.4.1 Ambiguities and anomalies<br />

Consider a study in which the solubility <strong>of</strong> a given solute (naphthalene is the example to be<br />

given later) is measured in numerous binary aqueous-organic mixed solvent systems, and<br />

*<br />

eq. [5.5.23] is applied to each <strong>of</strong> the mixed solvent systems, the solvent effect δMΔGsoln being<br />

calculated relative to water (component 1) in each case. According to hypothesis, the parameter<br />

gA is independent <strong>of</strong> solvent composition. This presumably means that it has the<br />

same value in pure solvent component 1 and in pure solvent component 2, since it is supposed<br />

not to change as x2 goes from 0 to 1. And in fact the nonlinear regression analyses<br />

support the conclusion that gA is a parameter <strong>of</strong> the system, independent <strong>of</strong> composition.

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!