2017
DOI: 10.1016/j.jclepro.2017.02.078
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Statistical optimization of process parameters for removal of dyes from wastewater on chitosan cenospheres nanocomposite using response surface methodology

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Cited by 73 publications
(21 citation statements)
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“…2 Moreover, most dyes have toxic effects on aquatic ecosystems and human life by creating mutagenic, carcinogenic effects and dysfunction of the organs. 3 However, wastewater containing dyes is usually very difficult to treat, because most dyes are resistant to aerobic digestion and stable to light heat and oxidizing agents due to their stable and complex chemical structures, and low biodegradability. 4,5 Therefore, it is urgently necessary to develop efficient techniques for the removal of dyes from wastewater before discharge.…”
Section: Introductionmentioning
confidence: 99%
“…2 Moreover, most dyes have toxic effects on aquatic ecosystems and human life by creating mutagenic, carcinogenic effects and dysfunction of the organs. 3 However, wastewater containing dyes is usually very difficult to treat, because most dyes are resistant to aerobic digestion and stable to light heat and oxidizing agents due to their stable and complex chemical structures, and low biodegradability. 4,5 Therefore, it is urgently necessary to develop efficient techniques for the removal of dyes from wastewater before discharge.…”
Section: Introductionmentioning
confidence: 99%
“…Adsorption has evolved into one of the most effective and feasible physical processes for decolorization of textile and dyeing wastewater [5][6][7]. Though there is no dearth of available adsorbents like activated carbon, economic factors force consideration of alternative low cost, eco-friendly and efficient adsorbents which are either naturally available or available as waste products from other manufacturing processes and which can be utilized for the treatment of industrial effluents by the entrepreneurs of small scale industries in developing countries like India [8,9].…”
Section: Methodsmentioning
confidence: 99%
“…A linear, square or cubic effect of tested variables can be tested. The efficiency of the CCD method in experimental process optimization is reflected within significant reduction of set experiments (Markandeya et al, 2017).…”
Section: Experimental Designmentioning
confidence: 99%