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Predictive quantitative structure–property relationship (QSPR) modeling for adsorption of organic pollutants by carbon nanotubes (CNTs)
Environmental Science: Nano ( IF 5.8 ) Pub Date : 2018-11-16 , DOI: 10.1039/c8en01059e Joyita Roy 1, 2, 3, 4, 5 , Sulekha Ghosh 1, 2, 3, 4, 5 , Probir Kumar Ojha 1, 2, 3, 4, 5 , Kunal Roy 1, 2, 3, 4, 5
中文翻译：
碳纳米管（CNT）吸附有机污染物的预测定量结构-性质关系（QSPR）模型
更新日期：2018-11-16
Environmental Science: Nano ( IF 5.8 ) Pub Date : 2018-11-16 , DOI: 10.1039/c8en01059e Joyita Roy 1, 2, 3, 4, 5 , Sulekha Ghosh 1, 2, 3, 4, 5 , Probir Kumar Ojha 1, 2, 3, 4, 5 , Kunal Roy 1, 2, 3, 4, 5
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Nanotechnology has introduced a new generation of adsorbents like carbon nanotubes (CNTs), which have drawn a widespread attention due to their outstanding ability for the removal of various inorganic and organic pollutants.
中文翻译：
碳纳米管（CNT）吸附有机污染物的预测定量结构-性质关系（QSPR）模型
纳米技术推出了碳纳米管（CNT）等新一代吸附剂，因其对各种无机和有机污染物的卓越去除能力而受到广泛关注。
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