4.6 Article

Magnetic porous β-cyclodextrin polymer for magnetic solid-phase extraction of microcystins from environmental water samples

Journal

JOURNAL OF CHROMATOGRAPHY A
Volume 1503, Issue -, Pages 1-11

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.chroma.2017.04.063

Keywords

Microcystins; Porous beta-cyclodextrin polymer; Magnetic solid-phase extraction; HPLC-MS/MS

Funding

  1. National Nature Sciences Foundation of China [21575028, 21405018]
  2. Program for Changjiang Scholar and Innovative Research Team in University [IRT15R11]
  3. National Basic Research Program of China [2010CB732403]
  4. Natural Science Foundation of Fujian Province, China [2015J01045, 2016J01051]

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Microcystins (MCs) are cyclic heptapeptide toxins and tumor promoters produced by cyanobacteria, which threaten the health of humans. In this study, magnetic porous S-cyclodextrin polymer (Fe3O4@SiO2@P-CDP) was synthesized and characterized by transmission electron microscopy, scanning electron microscopy, energy dispersive X-ray spectrometry, Fourier transform infrared spectrometry, Xray diffraction, nitrogen adsorption porosimetry and vibrating sample magnetometer. The synthesized Fe3O4@SiO2@P-CDP particles were then used for magnetic solid-phase extraction (MSPE) of MCs from environmental water samples, and exhibited excellent extraction performance, especially for MC-RR. Coupled with high-performance liquid chromatography with tandem mass spectrometry (HPLC-MS/MS), a simple, efficient and sensitive method for determination of trace levels of MCs was established. After the optimization of conditions, wide linear ranges (2.0-1000 pg mL(-1)), good linearity (r(2) >= 0.9996) and acceptable repeatability (RSD <= 9.4%, n =5) were obtained. The limits of detection (LODs, S/N =3) and limits of quantification (LOQs, S/N = 10) for three MCs (MC-LR, MC-RR and MC-YR) were in the range of 1.0-2.0 pg mL(-1) and 2.0-5.0 pg mL(-1), respectively. Typical water samples were analyzed by the developed method, and trace levels of MC-LR and MC-RR were detected. The results demonstrate that the developed method has great potential for the determination of MCs in complicated matrix. (C) 2017 Elsevier B.V. All rights reserved.

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