Statistical Analysis of Adsorption Experimental Data – the Influence of the Selection of Error Function on Optimized Isotherm Parameters

• Authors: Dawid Myśliwiec , Stanisław Chibowsk
• Languages of publication: EN

Abstracts

EN

Experimental adsorption data were analysed by fitting them to nonlinear forms of Langmuir and Freundlich isotherms. Optimization of the parameters was performed by nonlinear least square regression with different forms of error function, namely: vertical, horizontal, orthogonal, normal and squared normal. The results showed, that isotherm parameters may be affected by the selection of error function and that they are more sensitive to its’ form in case of Langmuir equation. We did not find any correlation between a type of the function and performance of the regression – procedure requires optimization for every experimental dataset and every model being fitted.

• Publisher: Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
• Journal: Annales Universitatis Mariae Curie-Skłodowska, sectio AA – Chemia
• Year: 2013
• Volume: 68
• Issue: 1-2

Dates

online

2014-10-17

Contributors

author

Dawid Myśliwiec

• Department of Radiochemistry and Colloid Chemistry, Faculty of Chemistry, Maria Curie-Skłodowska University Pl. Marii Curie-Skłodowskiej 3, 20-031 Lublin, Poland

author

Stanisław Chibowsk

• Department of Radiochemistry and Colloid Chemistry, Faculty of Chemistry, Maria Curie-Skłodowska University Pl. Marii Curie-Skłodowskiej 3, 20-031 Lublin, Poland

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Identifiers

DOI

10.2478/umcschem-2013-0006