Repository of Research and Investigative Information

Repository of Research and Investigative Information

Hormozgan University of Medical Sciences

Which is better for optimizing the biosorption process of lead -central composite design or the Taguchi technique?

(2016) Which is better for optimizing the biosorption process of lead -central composite design or the Taguchi technique? Water Science and Technology.

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The aim of this study is to evaluate central composite design (CCD) and the Taguchi technique in the adsorption process. Contact time, initial concentration, and pH were selected as the variables, and the removal efficiency of Pb was chosen for the designated response. In addition, face-centered CCD and the L9 orthogonal array were used for the experimental design. The result indicated that, at optimum conditions, the removal efficiency of Pb was 80. However, the value of R2 was greater than 0.95 for both the CCD and Taguchi techniques, which revealed that both techniques were suitable and in conformity with each other. Moreover, the results of analysis of variance and Prob > F <0.05 showed the appropriate fit of the designated model with the experimental results. The probability of classifying the contributing variables by giving a percentage of the response quantity (Pb removal) made the Taguchi model an appropriate method for examining the effectiveness of different factors. pH was evaluated as the best input factor as it contributed 66.2 of Pb removal. The Taguchi technique was additionally confirmed by three-dimensional contour plots of CCD. Consequently, the Taguchi method with nine experimental runs and easy interaction plots is an appropriate substitute for CCD for several chemical engineering functions. © IWA Publishing 2016.

Item Type: Article
Additional Information: cited By 0
Keywords: Biosorption; Efficiency; Taguchi methods, Adsorption process; Biosorption process; Central composite designs; Initial concentration; L9 orthogonal arrays; Removal efficiencies; Taguchi technique; Three dimensional contour, Lead, adsorption; experimental design; lead; optimization; technological development; three-dimensional modeling; variance analysis, adsorption; analysis of variance; biosorption; chemical engineering; experimental design; experimental model; genetic polymorphism; probability; statistical model; chemistry; pH; procedures; theoretical model; water management; water pollutant, lead; water pollutant, Adsorption; Hydrogen-Ion Concentration; Lead; Models, Theoretical; Water Pollutants, Chemical; Water Purification
Subjects: WA Public Health > WA 670-847 Environmental Pollution. Sanitation
Divisions: Research Vice-Chancellor Department > Social Determinants in Health Promotion Research Center
Depositing User: هدی فهیم پور

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