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Selective recognition of beta‐cypermethrin by molecularly imprinted polymers based on magnetite yeast composites
Author(s) -
Guan WeiSheng,
Lei JunRu,
Wang Xu,
Zhou Ya,
Lu ChenChen,
Sun ShaoFang
Publication year - 2013
Publication title -
journal of applied polymer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.575
H-Index - 166
eISSN - 1097-4628
pISSN - 0021-8995
DOI - 10.1002/app.38879
Subject(s) - thermogravimetric analysis , molecularly imprinted polymer , freundlich equation , adsorption , fourier transform infrared spectroscopy , materials science , langmuir adsorption model , magnetite , nuclear chemistry , thermal stability , chemical engineering , scanning electron microscope , chemistry , composite material , selectivity , organic chemistry , catalysis , engineering , metallurgy
Magnetic nanoparticles were attached to yeast by co‐precipitation reaction of FeCl 3 ·6H 2 O and FeCl 2 ·4H 2 O. Then, based on magnetite yeast composites (M@Y), the magnetic molecularly imprinted polymers (MMIPs) were synthesized for the selective recognition of beta‐cypermethrin (PP 321 ). MMIPs were characterized by scanning electron microscopy, X‐ray diffraction, vibrating sample magnetometer, Fourier transform infrared analysis, thermogravimetric analysis, and elemental analysis. MMIPs exhibited uniform morphology and magnetic property (Ms = 17.87 emu/g) and thermal stability. Batch mode adsorption studies were carried out to investigate the specific adsorption equilibrium, kinetics, and selective recognition. The Langmuir isotherm model was fitted to the equilibrium data slightly better than the Freundlich model, and the adsorption capacity of MMIPs was 39.64 mg/g at 298 K. The kinetic properties of MMIPs were well described by the pseudo‐second‐order equation. Hydrogen bonds between methacrylic acid and PP 321 were mainly responsible for the adsorption mechanism. The MMIPs prepared were applied to the separation of PP 321 from experimental samples successfully. © 2013 Wiley Periodicals, Inc. J. Appl. Polym. Sci., 2013