| LLM {AdIsMF} | R Documentation |
Langmuir Linear Model
Description
This model will fit the adsorption data to the linear form of the Langmuir equation and will give the estimates of the Langmuir parameters, namely "b" and "k" while evaluating the performance efficiency of the linear model of Langmuir through several error functions.
Usage
LLM(ce, qe)
Arguments
ce |
Equilibrium concentration of the adsorbate in the solution |
qe |
Amount adsorbed |
Value
Langmuir Isotherm Linear Model: Model summary
correlation (ce, qe): Correlation between ce and qe
b: Adsorption maxima
k: Langmuir adsorption constant related to bonding energy
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
Langmuir, I. (1918). The adsorption of gases on plane surfaces of glass, mica and platinum. Journal of the American Chemical society, 40(9), 1361-1403.
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 <- LLM (ce, qe)