The majority of binding models that have been applied to molecularly imprin
ted polymers (MIPs) have been homogeneous models. MIPs' on the other hand,
are heterogeneous materials containing binding sites with a wide array of b
inding affinities and selectivities. Demonstrated is that the binding behav
ior of MIPs can be accurately modeled by the heterogeneous Langmuir-Freundl
ich (LF) isotherm. The applicability of the LF isotherm to MIPs was demonst
rated using five representative MIPs from the literature, including both ho
mogeneous and heterogeneous MIPS. Previously, such comparisons required the
use of several different binding models and analyses, including the Langmu
ir model, the Freundlich model, and numerical approximation techniques. In
contrast, the IF model enabled direct comparisons of the binding characteri
stics of MIPs that have very different underlying distributions and were me
asured under different conditions. The binding parameters can be calculated
directly using the LF fitting coefficients that yield a measure of the tot
al number of binding sites, mean binding affinity, and heterogeneity. Alter
natively, solution of the Langmuir adsorption integral for the LF model ena
bled direct calculation of the corresponding affinity spectrum from the IN
fitting coefficients from a simple algebraic expression, yielding a measure
of the number of binding sites with respect to association constant. Final
ly, the ability of the LF isotherm to model MIPs suggests that a unimodal h
eterogeneous distribution is an accurate approximation of the distribution
found in homogeneous and heterogeneous MIPs.