Personal Information

  • Master Tutor
  • Name (Pinyin):

    fengtiantian
  • School/Department:

    化学与化工学院
  • Business Address:

    陕西省西安市鄠邑区草堂寺景区草寺东路学府城6号楼102B
  • Gender:

    Female
  • Contact Information:

    邮箱:fengtt168@xauat.edu.cn; fengtiantianwork@163.com;
  • Degree:

    Doctoral degree
  • Status:

    Employed
  • Academic Titles:

    西安建筑科技大学,化学与化工学院,副教授
  • Alma Mater:

    海南大学
  • Discipline:

    Applied Chemistry

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Coordination-Induced Magnetism Strategy for Highly Selective and Efficient Uranium Separation

  • Release time:2025-09-30
  • Hits:

  • Impact Factor:

    14.1
  • Journal:

    Advanced Science
  • Abstract:

    Abstract Highly efficient separation of dispersed uranium is important for the sustainable development of nuclear industry, and adsorption is the most recognized approach. However, there are many coexisting interfering metal ions that compete with uranyl ion for the chelating ligands in the adsorbents and lead to low separation selectivity and efficiency. Herein, a coordination-induced magnetism strategy is presented for the separation of uranium based on the conversion of diamagnetic cyanoferrocene (Fc-CN) nanocrystals to uranium-containing magnetic recoverable ferromagnetic aggregates. Different from previous adsorption strategies, this strategy combines the mechanisms of photocatalytic uranium enrichment and chemical uranium adsorption. Under light irradiation, electron of Fe(II) in Fc-CN is excited and transfers to uranyl ion via the cyano group to form tight coordination bond between N atom in cyano group and uranium. This phenomenon is unique for uranyl ion, and thus, a high uranium removal rate of 97.98% is achieved in simulated nuclear wastewater with the presence of tremendous interfering ions, proving its highly selective and efficient uranium separation performance. The ability to form highly stable magnetic aggregates via photoinduced interaction between Fc-CN and uranium enriches the understanding on the chemical properties of Fc-CN and uranium.
  • Co-author:

    Shilei Zhao, Tiantian Feng, Jiacheng Zhang, Meng Cao, Lijuan Feng, Yue Ma, Tao Liu, Yihui Yuan, Ning Wang
  • Indexed by:

    Journal paper
  • Discipline:

    Engineering
  • Translation or Not:

    no
  • Date of Publication:

    2024-01-01
  • Included Journals:

    SCI
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