Process adsorption isotherm fit calculator

Calculate fitted adsorption parameters and predicted loadings and residuals with your own figures.

Your numbers

Use the units shown. Results update as you change valid inputs.

Use fitted adsorption parameters and predicted loadings and residuals to compare changes to your inputs. The method and limits below explain the scope.

Examples

Examples

Try the starting example

Equilibrium dissolved concentrations
1,2,4,8
Equilibrium adsorbed loading
0.5,0.8,1.142857142857,1.454545454545
Model: 0 Langmuir reciprocal linearization; 1 Freundlich log linearization
0
Fitted adsorption parameters
[2,0.333333333334]
Predicted loadings and residuals
[[0.5,-4.24105195407e-14],[0.8,2.81996648255e-14],[1.14285714286,5.41788836017e-14],[1.45454545455,-2.22044604925e-14]]
Transformed-fit R squared
1

Try another scenario

Equilibrium dissolved concentrations
[1, 2, 4, 8]
Equilibrium adsorbed loading
[0.5, 0.8, 1.142857142857, 1.454545454545]
Model: 0 Langmuir reciprocal linearization; 1 Freundlich log linearization
1
Fitted adsorption parameters
[0.529381466902,1.94693499514]
Predicted loadings and residuals
[[0.529381466902,-0.0293814669016],[0.755763853911,0.0442361460888],[1.07895541984,0.0639017230126],[1.54035522073,-0.0858097661857]]
Transformed-fit R squared
0.97976
Calculation method

Calculation method

Fitted adsorption parameters

Langmuir[qmax,K] from C/q versusC; Freundlich[K,n] from logq=logK+(1/n)logC.

Predicted loadings and residuals

[predicted,observed−predicted] in original units.

Transformed-fit R squared

R² of selected linearized regression; not nonlinear least squares.

Symbols and units
a
Equilibrium dissolved concentrations
b
Equilibrium adsorbed loading
c
Model: 0 Langmuir reciprocal linearization; 1 Freundlich log linearization

Use the units shown. A list keeps the order in which you enter its values. The symbol ^ means “raised to the power of”.

Assumptions & limits

Assumptions & limits

  • Equilibrium concentrations-loadings, selected model. Returns Fitted parameters and residuals. All coefficients and observations are user supplied; results describe only the stated mathematical model. Quantities are deterministic calculations from supplied observations and assumptions; no external data is fetched. Supported limits: Finite inputs only; numeric fields bounded as labelled. Lists and JSON records are limited to 256 entries unless a stricter tool bound is stated. No automatic design approval, legal conclusion, treatment recommendation or safety certification. Equilibrium dissolved concentrations: minimum 1e-12, maximum 1000000000000.0. Equilibrium adsorbed loading: minimum 1e-12, maximum 1000000000000.0. Model: 0 Langmuir reciprocal linearization; 1 Freundlich log linearization: minimum 0, maximum 1.
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Further reading

Method reference ↗

Background reading; this does not imply endorsement or independent review of SumFizz.

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