Prediction of optimum adsorption isotherm: Comparison of chi-square and Log-likelihood statistics

Mahdi Hadi*, Gordon McKay, Mohammad Reza Samarghandi, Afshin Maleki, Mehri Solaimany Aminabad

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

76 Citations (Scopus)

Abstract

A comparison of chi-square (X2) and Log-likelihood (G2) statistics of 19 adsorption isotherm models-seven two-parameter models (Langmuir, Freundlich, Dubinin-Radushkevich, Temkin, Jovanovic, Harkins-Jura and Halsey) and 12 three-parameter models (Koble-Corrigan, Langmuir-Freundlich, Tóth, Redlich-Peterson, Radke-Prausnitz (three models), Fritz-Schlunder, Jossens, Khan, UNILAN, Vieth-Sladek) have been applied to the experiment of two dyes (Acid Blue 113, Acid Black 1) sorption onto Granular PineCone derived Activated Carbon (GPAC) and three dyes (Acid Blue 80, Acid Red 114, Acid Yellow 117) sorption onto Granular Activated Carbon type Filtrasorb 400 (GAC F400). The study has focused on the assessment of the adequacy and goodness of the fitted models, using two well-known--X2 and G2--statistics. The results showed that G2 could be better than X2 statistic when the number of model parameters is three.

Original languageEnglish
Pages (from-to)81-94
Number of pages14
JournalDesalination and Water Treatment
Volume49
Issue number1-3
DOIs
Publication statusPublished - 2012
Externally publishedYes

Keywords

  • Adsorption
  • Chi-square statistic
  • Isotherm models
  • Log-likelihood statistic

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