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Removal of heavy metals from water by carbon nanocomposites prepared from melon wastes

机译:用瓜类废物制得的碳纳米复合材料从水中去除重金属

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摘要

In this study, a novel adsorbent was prepared from biomass and was characterized by surface area analyzer, Fourier transform infrared spectroscopy, X-ray diffraction, energy-dispersive X-ray spectroscopy, scanning electron microscope and thermogravimetric/differential thermal analyzer. The prepared nanocomposites were used for the removal of selected heavy metals from water. Freundlich and Langmuir isotherms were used to analyze the adsorption equilibrium data. The best fit was observed for Freundlich isotherm. The equilibrium time of adsorption of arsenic, chromium, copper, lead and zinc on the prepared adsorbent were 240, 260, 240, 220 and 180 min, respectively: With the increase in pH there was decline in percentage adsorption of the metals. The pseudo-first-order and pseudo-second-order kinetic models were applied to explain kinetics of adsorption. The best fit was obtained with second-order kinetic model. With increase in temperature there was an increase in the adsorption capacity which was evident from the positive values Delta S degrees and negative values of Delta H degrees and Delta G degrees (exothermic and spontaneous process).
机译:在这项研究中,由生物质制备了一种新型吸附剂,并通过表面积分析仪,傅立叶变换红外光谱,X射线衍射,能量色散X射线光谱,扫描电子显微镜和热重/差热分析仪对其进行了表征。制备的纳米复合材料用于从水中去除选定的重金属。使用Freundlich和Langmuir等温线分析吸附平衡数据。 Freundlich等温线的最佳拟合。在制备的吸附剂上吸附砷,铬,铜,铅和锌的平衡时间分别为240、260、240、220和180分钟:随着pH值的增加,金属的吸附百分率下降。用伪一级和伪二级动力学模型来解释吸附动力学。使用二阶动力学模型可获得最佳拟合。随着温度的升高,吸附容量增加,这可以从正值Delta S度和负值Delta H度和Delta G度(放热和自发过程)看出。

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