2013
DOI: 10.1016/j.indcrop.2013.02.009
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A promising route to dye cotton by indigo with an ecological exhaustion process: A dyeing process optimization based on a response surface methodology

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Cited by 43 publications
(23 citation statements)
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“…2628 If the dye could not be adsorbed on the cotton fiber, with most of the indigo remaining in the dye bath, a low uptake of indigo results. 29 In the silicone non-aqueous medium dyeing system, only 180% owf of water is used during dyeing. Moreover, this part of water can be completely adsorbed by the cotton fiber because it can adsorb 300% owf of water.…”
Section: Resultsmentioning
confidence: 99%
“…2628 If the dye could not be adsorbed on the cotton fiber, with most of the indigo remaining in the dye bath, a low uptake of indigo results. 29 In the silicone non-aqueous medium dyeing system, only 180% owf of water is used during dyeing. Moreover, this part of water can be completely adsorbed by the cotton fiber because it can adsorb 300% owf of water.…”
Section: Resultsmentioning
confidence: 99%
“…This procedure to improve the dyeability of cellulose fibers using a cationic agent has attracted the interest of many researchers, especially in recent times [16][17][18]. The reasons for such pretreatment are to increase the cationic activities of cellulose fibers and reduce the electrostatic repulsion that operates between the anionic dye and the negatively charged groups of the fiber, thus resulting in enhanced dye uptake [19,20]. The electrokinetic behavior of the cotton fabric treated with a commercial cationic agent has been reported [21].…”
mentioning
confidence: 99%
“…RSM is typically employed to model the relationship between multiple experimental variables and one or more responses by modelling linear and nonlinear relationships between experimental variables and responses, as well as their interactions. Conventional one‐factor experiments always fail in modeling the nonlinear relationships between experimental variables and responses and in considering their interactions . Two important types of experimental designs used in RSM are CCD and Box–Behnken design (BBD).…”
Section: Methodsmentioning
confidence: 99%
“…It uses the relevant data obtained from experiments to fit the functional relationship between variables and response values by means of multivariate quadratic regression equation and to seek the optimal process parameters by analyzing the regression equation (response surface plots and contour plots). The main characteristic of RSM is less test times and higher test precision …”
Section: Introductionmentioning
confidence: 99%