2016
DOI: 10.2166/wst.2016.318
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Which is better for optimizing the biosorption process of lead – central composite design or the Taguchi technique?

Abstract: 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 L 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 R was greater than 0.95 for both the C… Show more

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Cited by 54 publications
(5 citation statements)
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“…Adsorption isotherm occupies an important space in adsorption studies 55 , 56 . They are useful in providing several insights into the adsorption mechanisms and mode of adsorption 57 , 58 . In this study, we plotted adsorption isotherms and then tried to fit these isotherms into three different isotherm models, viz.…”
Section: Methodsmentioning
confidence: 99%
“…Adsorption isotherm occupies an important space in adsorption studies 55 , 56 . They are useful in providing several insights into the adsorption mechanisms and mode of adsorption 57 , 58 . In this study, we plotted adsorption isotherms and then tried to fit these isotherms into three different isotherm models, viz.…”
Section: Methodsmentioning
confidence: 99%
“…It was additionally necessary for evaluating the experimental outcomes to examine the signal‐to‐noise ratio (SN). In general, three different signal‐to‐noise ratios (SN) can be used: the smaller, nominal, and larger the SN, the better 26 . The ratio of signal to noise was yielded with the following equation: SNbadbreak=10log10[1/n()1/PREi$$\begin{equation}SN = -{\mathrm{10lo}}{{{\mathrm{g}}}_{{\mathrm{10}}}}{\mathrm{[1/}}n\sum {\left( {{\mathrm{1/}}PR{{E}_i}} \right)} \end{equation}$$where n represented the number of experiments performed under the same experimental settings, and PRE i represented the response from measurements 27 …”
Section: Methodsmentioning
confidence: 99%
“…In general, three different signal-to-noise ratios (SN) can be used: the smaller, nominal, and larger the SN, the better. 26 The ratio of signal to noise was yielded with the following equation:…”
Section: Experimental Design and Statistical Analysismentioning
confidence: 99%
“…These experiments include 16 factorial experiment at factor levels of -1 and +1, seven experiments at central levels (0), and eight experiments at axial points (α=2). To create connection between independent and dependent variables (presenting a model, introducing the process) the following Quadratic polynomial equation is used [15] , [16] , [17] , [18] , [19] , [20] . Where, y is the response predicted by the model, x i is the encoded amount of levels of variables and b o , b i , b ii , and b ij are the coefficients of the model.…”
Section: Experimental Design Materials and Methodsmentioning
confidence: 99%