Rice husk and activated carbon-silica as potential bioadsorbents for wastewater purification

Q3 Agricultural and Biological Sciences
M. Mohammadpour, H. Babazadeh, A. Afrous, E. Pazira
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引用次数: 1

Abstract

Heavy metals are generally found in industrial wastewaters, affecting human health and living organisms. This study was therefore aimed to use bioadsorbents rice husk and activated carbon-silica to efficiently remove the heavy metals including lead (Pb) and cadmium (Cd) from an aqueous wastewater. The effects of bioadsorbent content, initial concentration, contact time, and pH value on the metal removal were investigated. An increased metal initial concentration lowered the removal efficiency of the bioadsorbents, and pH 6 provided the best condition for the removal of Pb and Cd. The use of rice husk and activated carbon-silica at pH 6 resulted in a maximum metal removal of 81% and 98% for Pb, while 88% and 100% for Cd respectively. The adsorption parameters were then determined by the Langmuir and Freundlich adsorption isotherms, and the experimental data were better fitted in the Freundlich adsorption isotherm model in comparison with the Langmuir adsorption isotherm model.
稻壳和活性炭二氧化硅作为潜在的废水生物吸附剂
重金属通常存在于工业废水中,影响人类健康和生物体。因此,本研究旨在利用生物吸附剂稻壳和活性炭二氧化硅有效去除废水中的铅(Pb)和镉(Cd)等重金属。研究了生物吸附剂含量、初始浓度、接触时间和pH值对金属去除的影响。金属初始浓度的增加降低了生物吸附剂对Pb和Cd的去除效率,pH 6为去除Pb和Cd提供了最佳条件。在pH 6下使用稻壳和活性炭二氧化硅对Pb和Cd的最大去除率分别为81%和98%,对Cd的最大去除度分别为88%和100%。然后通过Langmuir和Freundlich吸附等温线确定吸附参数,与Langmuir吸附等温线模型相比,Freundlicch吸附等温线模型更好地拟合了实验数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
caspian journal of environmental sciences
caspian journal of environmental sciences Environmental Science-Environmental Science (all)
CiteScore
2.30
自引率
0.00%
发文量
0
审稿时长
5 weeks
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