Optimization of manganese adsorption by ferromanganese ore and humus mixture using three-factor response surface methodology

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Optimization of manganese adsorption by ferromanganese ore and humus mixture using three-factor response surface methodology

Optimization of manganese adsorption by ferromanganese ore and humus mixture using three-factor response surface methodology

N.M. Kamal1,2, H.A. Aziz1,3*, H. Hussin4

HIGHLIGHTS

    • Manganese adsorption from wastewater using mixture of ferromanganese ore and humus is proposed.
    • Dosage, pH and contact time are the main factors in governing effectiveness of Mn removal.
    • Optimization of the experimental factors using Response Surface Methodology yields an excellent removal of Mn.
    • R2 value from the regression analysis was 0.9783 which signifies that the fitness of the model is good.

ABSTRACT

In this study, mixture of ferromanganese ore and humus were used to investigate the optimum conditions of dosage, pH and contact time for manganese (Mn) adsorption by using Response Surface Methodology (RSM). Experimental design had involved three operating variables i.e. dosage (2 to 4 g), pH (3 to 7.5) and contact time (90 to 270 min) with an associated response of manganese adsorption (%). Experimental data was obtained from the adsorption study then fitted to a second order polynomial regression model. Regression analysis and analysis of variance (ANOVA) were used to examine the fitness of the model towards the data. R2 value from the regression analysis was 0.9783 which signifies that the fitness of the model is good. The F-value was 50.21 and the p-value (Prob >F) was less than 0.05 indicate that the model terms are significant at 95% confidence level. Optimum conditions given by the model were 3.79 g of the mixture dosage, pH of 6.47 and contact time of 124.59 min with 93.82% of Mn adsorption. These values had been successfully verified.

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To cite this article: Kamal NM, Aziz HA, Hussin H. Optimization of manganese adsorption by ferromanganese ore and humus mixture using three-factor response surface methodology. Journal of Desalination and Water Purification 2018;10:13-18.

To link this article: http://ababilpub.com/download/jdwp10-3/