4.6 Article

Towards the determination of sulfonamides in meat samples: A magnetic and mesoporous metal-organic framework as an efficient sorbent for magnetic solid phase extraction combined with high-performance liquid chromatography

期刊

JOURNAL OF CHROMATOGRAPHY A
卷 1500, 期 -, 页码 24-31

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.chroma.2017.04.004

关键词

Magnetic solid phase extraction (MSPE); Metal-organic frameworks (MOFs); Sulfonamides (SAs); High performance liquid; chromatography(HPLC)

资金

  1. Natural Science Foundation of Shandong Province [ZR2014BM029]
  2. National Natural Science Foundation of China [21505084, 21375076, 21475075, 21677085, 21601106]

向作者/读者索取更多资源

A magnetic, mesoporous core/shell structured Fe3O4@JUC-48 nanocomposite was synthesized and employed as a magnetic solid phase extraction (MSPE) sorbent for the determination of trace sulfonamides (SAs) in meat samples. The synthesized nanocomposite was characterized by X-ray diffraction, Fourier transform infrared spectra, transmission electron microscopy, scanning electron microscopy, Brunner-Emmet-Teller, and vibrating sample magnetometry; the Fe3O4@JUC-48 nanocomposite exhibited a distinctive morphology, large surface area, high magnetism, open adsorption sites, and high chemical stability. By combining the optimized MSPE conditions with high performance liquid chromatography diode array detection, an accurate and sensitive method for the determination of 5 SAs, including sulfadiazine (SDZ), sulfathiazole (STZ), sulfamerazine (SMR), sulfamethazine (SMZ), and sulfamethoxypyridazine (SMP), was developed. The method exhibited good linearity in the range of 3.97-1000 ng/g with R ranging from 0.9991 to 0.9994, high sensitivity with LODs ranging from 1.73 to 5.23 ng/g, adequate recoveries between 76.1 and 102.6% with low relative standard deviations ranging from 2.1 to 6.4%, and high precision with RSD < 4.5%. The Fe3O4@JUC-48 magnetic nanocomposite is a promising sorbent for the rapid and efficient extraction of SAs from complex biological samples such as chicken, pork, and shrimp. (C) 2017 Elsevier B.V. All rights reserved.

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