Response surface methodology, modeling to improve mercury removal from aqueous solutions using L-Cysteine functionalized Multi-walled Carbon Nanotubes

L. Kalankesh, Z. Yousefi, M. Zazouli, Hajar Tabarinia, Y. Charati
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引用次数: 1

Abstract

The aim of this study was to evaluate the mercury removal from aqueous solutions by using L-Cysteine functionalized Multi-walled Carbon Nanotubes. The effect of pH, adsorbent dose, contact time and mercury concentration in removal efficiency was evaluated. Multi -walled carbon nanotubes were functionalized with L-cysteine. The Response Surface Methodology (RSM) was used to find the optimum process parameters. The results showed that an increase in contact time, pH and adsorbent dosage resulted in an increase of the adsorption rate. However, removal efficiency decreases by increasing mercury concentration. The highest and lowest removal efficiencies of mercury were 89% and 17%, respectively. The maximum adsorption rate was occurring at 120 min. It is concluded that L-Cysteine functionalized multi-walled carbon nanotubes is an effective adsorbent for removal from aqueous solutions.
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响应面方法:利用l -半胱氨酸功能化的多壁碳纳米管改善水溶液中汞的去除
本研究的目的是评价l -半胱氨酸功能化多壁碳纳米管对水中汞的去除效果。考察了pH、吸附剂剂量、接触时间和汞浓度对去除效果的影响。用l -半胱氨酸对多壁碳纳米管进行了功能化。采用响应面法(RSM)确定最佳工艺参数。结果表明,随着接触时间、pH和吸附剂用量的增加,吸附率均有所提高。但随着汞浓度的增加,去除率降低。汞的最高去除率为89%,最低去除率为17%。结果表明,l -半胱氨酸功能化多壁碳纳米管是一种有效的吸附剂。
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