Adsorption of U(VI) from aqueous solution by using KMnO4-modified hazelnut shell activated carbon: characterisation and artificial neural network modelling

被引:0
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作者
Mijia Zhu
Fanxiu Li
Wu Chen
Xianqing Yin
Zhengji Yi
Shuyong Zhang
机构
[1] Yangtze University,School of Chemistry and Environmental Engineering
[2] Hengyang Normal University,School of Chemistry and Material Science
关键词
Hazelnut shell activated carbon; Adsorption capacity; Artificial neural network; Batch study; Adsorbent;
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摘要
This study is based on U(VI) removal from wastewater by KMnO4-modified hazelnut shell activated carbon (KM–HSAC) using adsorption technology. A characterisation study of KM–HSAC was conducted through scanning electron microscope and energy-dispersive X-ray spectroscopy (EDS) analysis. The rough surface of KM–HSAC contains many irregular microspores. The EDS pattern confirmed the U(VI) adsorption on the KM–HSAC. A batch study experiment gave optimum results for U(VI) at pH 6, contact time of 160 min, initial U(VI) concentration of 155.56 mg/L and KM–HSAC dosage of 4 g/L, with a maximum adsorption capacity of 22.27 mg/g. The prediction performance of artificial neural network models was validated through the low values of statistical error (2.708 and 8.241 for RMSE of training and testing data, respectively) and the high determination coefficient value (0.987 and 0.906 for training and testing data, respectively). Experimental results suggest that KM–HSAC has a high potential for the removal of U(VI) from wastewater.
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页码:47354 / 47366
页数:12
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