Linearised and non-linearised isotherm models optimization analysis by error functions and statistical means

Journal of Environmental Health Science Engineering

Ashutosh Das¹  Busetty Subramanyam² 

[1] Director, Centre for Environmental Engineering, PRIST University, Tamil Nadu, India;School of Civil Engineering, SASTRA University, Thanjavur, Tamil Nadu, India

关键词: Statistical function;    Error function;    Equilibrium;    Adsorption;   

Others  :  820040
DOI  :  10.1186/2052-336X-12-92

 received in 2012-07-31, accepted in 2014-05-31,  发布年份 2014

【 摘 要 】

In adsorption study, to describe sorption process and evaluation of best-fitting isotherm model is a key analysis to investigate the theoretical hypothesis. Hence, numerous statistically analysis have been extensively used to estimate validity of the experimental equilibrium adsorption values with the predicted equilibrium values. Several statistical error analysis were carried out. In the present study, the following statistical analysis were carried out to evaluate the adsorption isotherm model fitness, like the Pearson correlation, the coefficient of determination and the Chi-square test, have been used. The ANOVA test was carried out for evaluating significance of various error functions and also coefficient of dispersion were evaluated for linearised and non-linearised models. The adsorption of phenol onto natural soil (Local name Kalathur soil) was carried out, in batch mode at 30 ± 20 C. For estimating the isotherm parameters, to get a holistic view of the analysis the models were compared between linear and non-linear isotherm models. The result reveled that, among above mentioned error functions and statistical functions were designed to determine the best fitting isotherm.

【 授权许可】

   
2014 Subramanyam and Das; licensee BioMed Central Ltd.

【 图 表 】

Figure 1.

Figure 2.

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