FLM: Freundlich Linear Model

In AdIsMF: Adsorption Isotherm Model Fitting

Freundlich Linear Model

Description

This model will fit the adsorption data to the linear form of the Freundlich equation and will give the estimates of the Freundlich parameters, namely "kf" and "1/n" while evaluating the performance efficiency of the linear model of Freundlich through several error functions.

Usage

FLM (ce, qe)

Arguments

ce	Equilibrium concentration of the adsorbate in the solution
qe	Amount adsorbed

Value

• Freundlich Isotherm Linear Model: Model summary

• correlation (ce, qe): Correlation between ce and qe

• kf: Freundlich constant

• 1/n: Freundlich exponent related to adsorption intensity

• AIC: Akaike information criterion

• AICc: Corrected Akaike information criterion

• BIC: Bayesian information criterion

• RMSE: Root Mean Squared Error

• MSE: Mean Squared Error

• MAE: Mean Absolute Error

• MAPE: Mean Absolute Percentage Error

• Chi.square: Chi-square value

References

• Giles, C. H. (1973). The history and use of the Freundlich adsorption isotherm. Journal of the Society of Dyers and Colourists, 89(8), 287-291.

• Datta, S. P., Bhadoria, P. B. S., & Kar, S. (1998). Availability of extractable boron in some acid soils, West Bengal, India. Communications in soil science and plant analysis, 29(15-16), 2285-2306.

Examples

ce <- c(0.025, 0.04, 0.055, 0.099, 0.139, 0.402, 1.999, 11.336)
qe <- c(17.21, 35.42, 51.238, 72.659, 89.268, 182.21, 345.29, 634.231)
m.fit <- FLM (ce, qe)

AdIsMF documentation built on Sept. 11, 2024, 7:47 p.m.