Enhanced removal of Cr(VI) by cerium oxide polyaniline composite: Optimization and modeling approach using response surface methodology and artificial neural networks
Journal of Environmental Chemical Engineering(2015)
摘要
•A cost effective adsorbent is proposed for Cr(VI) removal from water.•Removal efficiency of the adsorbent is studied over a wide range of pH (2–10).•The removal of hexavalent chromium is 93.9% at obtained optimum condition.•The adsorption capacity for Cr(VI) ions was 357mg/g at pH 6.•Prediction of removal percentage by ANN was found to be best than RSM model.
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关键词
Adsorption,ANN,RSM,Parametric appraisal,Predictive equation
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