论文
论文标题: Insight into the significant contribution of intrinsic defects of carbon-based materials for the efficient removal of tetracycline antibiotics
作者: Wang, Tao; Xue, Lu; Liu, Yonghong; Fang, Tao; Zhang, Lu; Xing, Baoshan
出版刊物: CHEMICAL ENGINEERING JOURNAL
出版日期: MAY 1
出版年份: 2022
卷/期:
DOI: 10.1016/j.cej.2022.134822
论文摘要: Due to their high adsorption capacity and low cost, carbon-based materials have experienced great progress in the removal of tetracyclines. Unfortunately, the nature of the adsorption site is far from clarified. Especially, it is still a great challenge to systematically explore the impact of intrinsic defects of carbon-based adsorbents on the adsorption of tetracyclines. Herein, carbon-based adsorbents with different defects were designed and prepared, and their adsorption properties of tetracyclines were systematically studied. From microscopic characterization of carbon-based adsorbents and batch adsorption experiments, the intrinsic defects of carbon-based adsorbents facilitated the adsorption performance of tetracyclines. The best adsorbent (SSG-C) had a very high adsorption capacity (526.9 mg/g for tetracycline (TTC); 360.9 mg/g for oxytetracycline (OTC)). Additionally, density functional theory simulation results show that the ring defects of sp(2) species promoted the adsorption performance more than sp(3) edge defects, and the adsorption performance increased with increasing ring defect of sp(2) species. Based on the above analysis, we proposed that intrinsic carbon defects activate the 7C electrons of sp(2) carbon and facilitate pi-pi interaction between carbon-based adsorbents and tetracyclines, particularly the ring defects of sp(2) species. This study provides a decisive contribution to better understanding of the role of intrinsic defects in carbon-based adsorbents for removal of tetracyclines.
== 实验室与学会 ==
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  • 水产品种创制与高效养殖全国重点实验室
  • 中国科学院藻类生物学重点实验室
  • 农业部淡水养殖病害防治重点实验室
  • 武汉白暨豚保护基金会
  • 湖北省海洋湖沼学会
  • 中国动物学会原生动物学分会
  • 中国动物学会斑马鱼分会
  • 湖北省暨武汉动物学会
  • 中国水产学会鱼病学专业委员会
  • 中国鱼类学会
== 平台建设 ==
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  • 中国科学院水生生物研究所分析测试中心
  • 中国科学院超级计算武汉分中心
  • 水生生物博物馆
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