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Preparation of 17β‐estradiol surface molecularly imprinted polymers and their application to the analysis of biological samples

Zhang, Jing; Wang, Lingling; Han, Yanting

Journal of separation science. Volume 36:Issue 21/22 (2013); pp 3486-3492 -- Wiley-VCH

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  • Title:
    Preparation of 17β‐estradiol surface molecularly imprinted polymers and their application to the analysis of biological samples
  • Author: Zhang, Jing;
    Wang, Lingling;
    Han, Yanting
  • Found In: Journal of separation science. Volume 36:Issue 21/22 (2013); pp 3486-3492
  • Journal Title: Journal of separation science
  • Subjects: Chromatographic analysis--Periodicals; Separation (Technology)--Periodicals; Dewey: 543.089
  • Rights: legaldeposit
  • Publication Details: Wiley-VCH
  • Abstract: <x xml:space="preserve">Abstract</x>

    17β‐Estradiol (E2) surface molecularly imprinted polymers have been prepared using functionalized monodispersed poly(glycidyl methacrylate‐co‐ethylene dimethacrylate) beads as a support. The resulting polymers were found to be uniform in size (5 μm), and the surfaces of the microspheres possessed large pore‐like structures. A chromatographic experiment demonstrated that the resulting microspheres exhibited high levels of recognition and selectivity toward the target molecule. The particles were employed as a novel sorbent in a molecularly imprinted SPE protocol. A method was then developed involving the combination of the pretreatment with HPLC to determine the levels of estrogen secreted from Michigan Cancer Foundation‐7 cells. The obtained results revealed that the extraction recoveries of E2 from real samples were in the range of 73.0–97.5% with RSDs of < 7.5% (n = 3). Calibration curves were established with R values > 0.9996 for concentrations in the range of 0.50–100.00 ng/mL. The LOD of this new method was 0.14 ng/mL. Compared with traditional C18 SPE agents, the particles showed high selectivity and extraction efficiency for E2 in the pretreatment process. The particles could therefore be used to determine trace estrogen in biological samples with a UV detector only.


  • Identifier: ETOClsidyv87401334; System Number: LDEAvdc_100024736086.0x000001; Journal ISSN: 1615-9306; 10.1002/jssc.201300850
  • Publication Date: 2013
  • Physical Description: Electronic
  • Shelfmark(s): ELD Digital store

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