2005
DOI: 10.1016/j.aca.2004.07.048
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A critical examination of the use of the Freundlich isotherm in characterizing molecularly imprinted polymers (MIPs)

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Cited by 111 publications
(59 citation statements)
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“…The obtained data of adsorption isotherm equilibrium was analyzed using the Langmuir, Schatcard and Freundlich isotherm models [20][21][22]. The experimental data for various studied were fitted better with the rearranged Freundlich isotherm model over the Langmuir or Schatcard as the experimental data fall on a straight line when plotted in a logB vs logF format.…”
Section: Adsorption Isothermmentioning
confidence: 99%
See 1 more Smart Citation
“…The obtained data of adsorption isotherm equilibrium was analyzed using the Langmuir, Schatcard and Freundlich isotherm models [20][21][22]. The experimental data for various studied were fitted better with the rearranged Freundlich isotherm model over the Langmuir or Schatcard as the experimental data fall on a straight line when plotted in a logB vs logF format.…”
Section: Adsorption Isothermmentioning
confidence: 99%
“…The term a is a Freundlich parameter related to the binding affinity and the term m is the heterogeneity index [21] with values from zero to one, by one indicating homogeneity of the sites. This empirical equation is suitable for highly heterogeneous surfaces [20,21]. The Freundlich isotherm equation can be rearranged to a linear form: log B = m log F + log a Eq.…”
Section: Adsorption Isothermmentioning
confidence: 99%
“…The data given by this model can be explained, in most cases, taking into account that the Freundlich model is a generalization of the Langmuir model applied to a heterogeneous surface with an energy distribution corresponding to an exponential decrease. Although the Freundlich model predicts that there is an indefinite increase of the adsorbed solute increasing its concentration in solution, this empirical equation is suitable for highly heterogeneous surfaces [67][68][69][70] and often represents typical adsorption data over a restricted range of concentration. In spite that the Freundlich isotherm is suitable to describe the dependence between the coverage degree (θ) and the adsorption energy, it does not follow the fundamental thermodynamic basis since it does not reduce to Henry's law at lower concentrations nor predicts the monolayer saturation at higher concentrations.…”
Section: Isotherm Modelsmentioning
confidence: 99%
“…Term a is a Freundlich parameter related to the binding affinity and term m is the heterogeneity index with values from zero to one, one indicating homogeneity and zero indicating heterogeneity of the sites. This empirical equation is suitable for highly heterogeneous surfaces (12,13).…”
Section: Adsorption Isothermsmentioning
confidence: 99%