4.7 Article

Novel porous Fe3O4@C nanocomposite from magnetic metal-phenolic networks for the extraction of chlorophenols from environmental samples

Journal

TALANTA
Volume 194, Issue -, Pages 673-679

Publisher

ELSEVIER
DOI: 10.1016/j.talanta.2018.10.096

Keywords

Metal-phenolic networks; Carbonization; Porous carbon; Magnetic solid phase extraction; Chlorophenols

Funding

  1. Natural Science Foundation of Hebei Agricultural University [LG201712]
  2. National Natural Science Foundation of China [31471643, 31571925, 31671930]
  3. Natural Science Foundation of Hebei Province [B2016204136, B2016204146, 82017204025]
  4. Hebei Double First Class Discipline Construction Foundation for the Discipline of Food Science and Engineering of Hebei Agricultural University [2016SPGCA18]
  5. Scientific and Technological Research Foundation of the Department of Education of Hebei Province [ZD2016085]

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Metal-organic coordination materials have received extensive attention because of their combined benefits of both inorganic and organic building blocks. In this work, the functional magnetic metal-phenolic networks with core-shell structure were prepared from phenolic ligand (tannic acid) and metal Zn2+ via self-assembly. The magnetic metal-phenolic networks consist of magnetic Fe3O4 core and metal-phenolic network shell which can act as carbon source. The Fe3O4@C nanocomposite was then synthesized by carbonizing the magnetic metal phenolic networks. The prepared Fe3O4@C had a high surface area and nanoscale porosity. It was successfully applied as the magnetic absorbent to enrich chlorophenols from environmental water and soil samples. Good response linearity for the analytes was observed in the range of 0.1-100.0 ng mL(-1) for water and 1.0-100.0 ng g(-1) for soil samples, with correlation coefficient >= 0.9989 and >= 0.9924, respectively. The limits of detection calculated at a signal-to-noise ratio of 3 (S/N = 3) were in the range from 0.01 to 0.03 ng mL(-1) for the water and 0.1-0.2 ng g(-1) for the soil sample, respectively. The relative standard deviations were below 6.8%.

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