Adsorption Analysis

The app helps analysing adsopriton data using Monte-Carlo analysis of parameters.

The app uses Monte-Carlo approach for error analysis using a provided Relative error.
The first step you enter the experimental data as a table initial vs equilibrium concentration. You may paste this data from Excel by pressing the “Paste from Clipboard” button. The app provides fitting for the Langmuir model.
The second step – put an estimation of the relative error, experimental error of the analytical procedure used. The simplest way is to repeat analysis several (10-20) times and estimate the standard deviation relative to the average value.
When close to the detection limit, you may introduce an additional absolute error in the same units of concentration. For example, you have an absolute concentration of 1 M, relative error of 0.05. Hence, the error in this example is 0.05 M. If you enter an absolute error as 0.2 M, the absolute value will be used for this datapoint because the absolute error is higher. If you want to use only the relative errors, enter 0 as the absolute error.
Lastly, you enter the number of Monte-Carlo tries. Generally, it is good to have the value as high as possible, an order of 1000. Often 100 points may be sufficient – the way to test if the number of points is sufficient is to double the number of tries and it shall not result in noticeable changes in the confidence intervals.