LLM: Langmuir Linear Model

In AdIsMF: Adsorption Isotherm Model Fitting

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)

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