2001
DOI: 10.1016/s0003-2670(00)01211-3
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Application of the Freundlich adsorption isotherm in the characterization of molecularly imprinted polymers

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Cited by 261 publications
(178 citation statements)
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“…Experimental sorption parameters (m, a, R 2 ) of Freundlich model for MIP and NIP are presented in Table 1. The heterogeneity index m obtained for the NIP is higher than that of the MIP, which is in agreement with previous study [22] that revealed the comparison of imprinted polymers with non imprinted polymer.…”
Section: Adsorption Isothermsupporting
confidence: 92%
See 1 more Smart Citation
“…Experimental sorption parameters (m, a, R 2 ) of Freundlich model for MIP and NIP are presented in Table 1. The heterogeneity index m obtained for the NIP is higher than that of the MIP, which is in agreement with previous study [22] that revealed the comparison of imprinted polymers with non imprinted polymer.…”
Section: Adsorption Isothermsupporting
confidence: 92%
“…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%
“…Data obtained for the Freundlich model concerning MIP and NIP are presented in Table I. The heterogeneity index m obtained for NIP is higher than that of MIP, which is in agreement with previous studies (14,15). As can be seen from the results, the lower m value of MIP indicates a more heterogeneous property than that of NIP.…”
Section: Adsorption Isothermssupporting
confidence: 88%
“…Many other authors have also plotted the measured MIP isotherms on log-log plots [25][26][27][28], but this was done because it was assumed, that the Freundlich isotherm equation fits the experimental data, and the authors wanted to obtain the Freundlich parameters. In the present work Freundlich or any other isotherm equation fitting is not attempted.…”
Section: The Logc -Logq Isotherm Plot and Its Advantagesmentioning
confidence: 99%