Using the linear fitting of the Langmuir equation, the experimental values are not correlating. How essential is it to connect?
We ll not expect to match too since the calculated values is based on numerical calculations
Actually Langmuir is not the only model, perhaps you could try some other.
You should try other alternative isotherms, e.g. Freundlich, Toth etc.
The langmuir model includes the isotherm "plateau", which occurs at high aqueous concentrations. Usually, when using realistic concentrations for organic micropollutions (ng/l to ug/l levels), this plateau is not obtained. In these cases, the Freundlich model often gives a better data-fit than Langmuir.
Dear Eluri Amoluck
There are a few factors to consider when selecting a model that fits the experimental data. They include the correlation coefficient, the chi-square test, and adsorption capacity. Therefore, should the experimental adsorption capacity be close to the model's adsorption capacity. This means that you have one of the factors which are matching for the determination of the model data fitting the experimental data.
When using adsorption isotherm models (linear or non-linear form), we want the experimental points to be as close as possible to a model.
- Badges
- Science topic
- Similar topics
- Biological Science
- Bioecology
- Systems Ecology
- Landscape Ecology
- Connectivity