2019
DOI: 10.1016/j.cherd.2019.03.007
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Effect and optimization parameters of phenol removal in emulsion liquid membrane process via fractional-factorial design

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Cited by 48 publications
(10 citation statements)
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“…According to the literature, circular contour plot mostly suggests no significant interaction between variables [36,37]. The ellipse contour plot, on the other hand, suggested that there are significant interactions between variables [36,37]. The combined effects (interactions between factors) of the independent variables on the analytical response are presented in Figure 7.…”
Section: Response Surface Methodology (Rsm) Based On Central Composite Design (Ccd)mentioning
confidence: 88%
See 1 more Smart Citation
“…According to the literature, circular contour plot mostly suggests no significant interaction between variables [36,37]. The ellipse contour plot, on the other hand, suggested that there are significant interactions between variables [36,37]. The combined effects (interactions between factors) of the independent variables on the analytical response are presented in Figure 7.…”
Section: Response Surface Methodology (Rsm) Based On Central Composite Design (Ccd)mentioning
confidence: 88%
“…The interactive effects of the independent variables were envisioned through the surface contour plot. According to the literature, circular contour plot mostly suggests no significant interaction between variables [36,37]. The ellipse contour plot, on the other hand, suggested that there are significant interactions between variables [36,37].…”
Section: Response Surface Methodology (Rsm) Based On Central Composite Design (Ccd)mentioning
confidence: 97%
“…These advantages include less energy requirement, high separation selectivity, high mass transfer rate and less residence time [7]. To date, ELM technique has been used for the separation of many materials such as phenol [8], amino acids [9] and metals such as silver [10], gold [11], molybdenum [12], arsenic [13], platinum [14], rhodium [15], cadmium [16], cobalt [17], copper [18,19], uranium [20], palladium [21], chromium [22], zinc [23], zirconium [24] neodymium and gadolinium [25].…”
Section: Introductionmentioning
confidence: 99%
“…Every design comes with its added value and disadvantages depending on experimental needs. Many studies have shown the ability of FFD in minimizing the number of runs over one-factor-at-a-time (OFAT) techniques [ 1 , 5 ]. For the same amount of accuracy, FFD would take less time compared to OFAT.…”
Section: Introductionmentioning
confidence: 99%
“…This paper introduces the combined usage of FFD and RSM in experimental design for multiple variables, and it is suspected to influence the outcome and estimate the optimum design condition. The validity of the predicted point from a three-dimensional (3D) plot can be tested experimentally, where the error margin of less than 5% is desired [ 5 ]. Applying either of these methods in DOE could generate a better prediction, minimize mass production cost, and increase process efficiency [ 8 ].…”
Section: Introductionmentioning
confidence: 99%