Welcome to the Adsorption Isotherm Calculator. This tool is designed for chemical engineers and researchers to calculate adsorption isotherms using the Langmuir and Freundlich models. It helps solve complex adsorption problems by providing accurate and reliable results.

Data Source and Methodology

All calculations are based strictly on the formulas and data provided by authoritative sources in chemical engineering. For further reading, please refer to the Springer Article. All calculations are rigorously based on the formulas and data provided by this source.

The Formula Explained

Langmuir Isotherm: \( q_e = \frac{Q_{\text{max}}bC_e}{1 + bC_e} \)

Freundlich Isotherm: \( q_e = K_fC_e^{1/n} \)

Glossary of Variables

  • qe: Equilibrium adsorption capacity (mg/g).
  • Qmax: Maximum adsorption capacity (mg/g).
  • b: Langmuir constant related to the energy of adsorption (L/mg).
  • Ce: Concentration of adsorbate in solution at equilibrium (mg/L).
  • Kf: Freundlich constant indicative of adsorption capacity ((mg/g)(L/mg)1/n).
  • n: Freundlich constant indicative of adsorption intensity.

How It Works: A Step-by-Step Example

Suppose you want to calculate the adsorption capacity using the Langmuir isotherm model. If the concentration is 0.5 mol/L and the adsorption capacity is 200 mg/g, the result will be calculated according to the specified formula.

Frequently Asked Questions (FAQ)

What is an adsorption isotherm?

An adsorption isotherm describes how adsorbates interact with adsorbents, typically at a constant temperature.

How do Langmuir and Freundlich models differ?

Langmuir assumes monolayer adsorption with uniform energies, while Freundlich is empirical and describes heterogeneous systems.

What is the significance of the constants in the formulas?

Constants like b and Kf indicate the affinity between adsorbent and adsorbate, impacting adsorption capacity.

Can these models be used for all types of adsorbents?

While widely used, each model has limitations and may not fit all adsorbent-adsorbate systems perfectly.

How can I ensure accurate results?

Ensure accurate input data and consider experimental conditions when interpreting results.

Tool developed by Ugo Candido. Content reviewed by CalcDomain Expert Team.
Last reviewed for accuracy on: September 15, 2024.