2007
DOI: 10.1016/j.dyepig.2005.07.018
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Optimization of process variables by the application of response surface methodology for dye removal using a novel adsorbent

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Cited by 226 publications
(117 citation statements)
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“…Design of experiments (DOE) and response surface methodology (RSM) is largely used for modeling mechanism parameters, especially in adsorption or removal process [19][20][21][22][23][24][25][26][27][28][29][30][31][32]. Because RSM contains a lower number of experiments, it is flaws over conventional methods available.…”
Section: Introductionmentioning
confidence: 99%
“…Design of experiments (DOE) and response surface methodology (RSM) is largely used for modeling mechanism parameters, especially in adsorption or removal process [19][20][21][22][23][24][25][26][27][28][29][30][31][32]. Because RSM contains a lower number of experiments, it is flaws over conventional methods available.…”
Section: Introductionmentioning
confidence: 99%
“…27 The higher the significance, the better the degree of correlation between the observed and predicted values. 28 Total extract concentration, incubation days and temperature content were significantly affected.…”
Section: Optimization Of Fermentation Mediummentioning
confidence: 99%
“…A 2 3 full-factorial design with four centre point runs leading to 12 experimental runs were performed ( Table 2). The centre point replicates were chosen to verify any change in the estimation procedure and as a measure of the precision property (Ravikumar et al, 2007). For statistical …”
Section: Statistical Design Of Experimentsmentioning
confidence: 99%