where KF (ng1−1/n L1/n g−1 ) is the Freundlich adsorption coefficient, which is related to adsorption capacity, and 1/n is the Freundlich exponent as well as the slope of the linear log form of equation (Eq). (1):
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When 1/n = 1, Eq. (2) converts into the linear isotherm:
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where KD (Lis the distribution coefficient for adsorption. The linear equation formally resembles Henry’s law; therefore, it is also called Henry’s linear adsorption isotherm.
Figs. 3 and 4show Freundlich isotherm and Henry linear isotherm, respectively. Linear regression equations and corresponding R-Squared (R2 ) are also showed in the figures. Compared to the Freundlich isotherm (R2 = 0.876 for PCDDs and 0.774 for PCDFs), the Henry linear isotherm should better fit the experimental data (R2 = 0.986 for PCDDs and 0.988 for PCDFs). It could be explained by the trace amount and extremely low concentrations of PCDD/Fs
where KF (ng1−1/n L1/n g−1 ) is the Freundlich adsorption coefficient, which is related to adsorption capacity, and 1/n is the Freundlich exponent as well as the slope of the linear log form of equation (Eq). (1):###################When 1/n = 1, Eq. (2) converts into the linear isotherm:###################where KD (Lis the distribution coefficient for adsorption. The linear equation formally resembles Henry’s law; therefore, it is also called Henry’s linear adsorption isotherm.Figs. 3 and 4show Freundlich isotherm and Henry linear isotherm, respectively. Linear regression equations and corresponding R-Squared (R2 ) are also showed in the figures. Compared to the Freundlich isotherm (R2 = 0.876 for PCDDs and 0.774 for PCDFs), the Henry linear isotherm should better fit the experimental data (R2 = 0.986 for PCDDs and 0.988 for PCDFs). It could be explained by the trace amount and extremely low concentrations of PCDD/Fs
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