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78    CONTAMINANT PARTITION AND BIOCONCENTRATION

           In those systems where a good linear correlation between logK sw,2 and logK sw,1
           is observed, the correlation is frequently called a linear free-energy relation-
           ship (LFER), since the logarithmic term of a partition coefficient (which is an
           equilibrium constant, K) is related to the molar free-energy change of the
                                                 G
           solute at some chosen standard state (i.e., D ° =-RTlnK). In this particular
           case, it refers to the free-energy change when 1 mole of the solute at unit con-
           centration in one solvent (e.g., water) is transferred to a water-saturated
           organic solvent where the solute is kept at a unit concentration (note that the
           two solute solutions at the standard state specified are not in equilibrium so
                G
           that D ° π 0). LFERs developed for a specific set of solutes with some model
           solvents are useful for assessing the partition behavior of similar organic com-
           pounds with the same or compositionally similar solvents, biological compo-
           nents, and natural organic phases. The LFER correlation in the form of Eq.
           (5.19) was developed by Collander (1951) for systems where the two organic
           solvents with K sw,1 and K sw,2 are similar in composition or contain similar func-
           tional groups, such as i-butanol versus i-pentanol, or n-octanol versus oleyl
           alcohol. Earlier we have seen that n-octanol and triolein provide another case
           for such a linear correlation.
              From the illustrated partition characteristics of solutes with different
           organic solvents (including lipids), it is recognized that the magnitude of K sw
           depends critically on the solute solubility in water and on the composition and
           polarity of the solvent. Consequently, the numerical values of a and b in Eq.
           (5.19) are expected to vary with respect to solute and solvent properties. From
           Eqs. (3.6) and (5.19), the coefficient a is simply

                                              d ( g*    o)
                                                    w g*
                                               log
                                   dlog  K sw,2          2
                                a =         =                            (5.20)
                                                        o)
                                   dlog  K sw,1  d ( g* w g*
                                               log
                                                         1
           and the constant b is simply the value of logK sw,2 for a hypothetical (or extra-
           polated) solute in the series with logK sw,1 = 0 (i.e., at K sw,1 = 1). The second
           expression in Eq. (5.20) suffices when the solute–solvent solution obeys
           Raoult’s law to a good approximation. Thus, a expresses the rate of change in
           logK sw,2 with respect to the  rate of change in logK sw,1 for a selected set of
           solutes that spans a specific range of logK sw,1 and logK sw,2. Since the b con-
           stant is in most cases an extrapolated value, often outside the range of actual
           logK sw,1 , it defies a rigorous interpretation, especially when the selected set of
           solutes come from a diversity of classes. The coefficient a itself is by no means
           indicative of the relative solvency of the two organic solvents involved, which
           is manifested instead by the magnitudes of K sw,1 and K sw,2 for any solute of
           interest.
              The simplest case in which a and b in Eq. (5.19) can be well rationalized is
           when the two organic solvents in K sw,1 and K sw,2 have closely similar structures
           and polarities, such that they exhibit similar compatibilities with any of the
           solutes, and exhibit comparable solvent–water mutual saturation effects on
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