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Core-shell magnetic porous organic polymer for magnetic solid-phase extraction of fluoroquinolone antibiotics in honey samples followed by high-performance liquid chromatography with fluorescence detection.
Tian, Cong; Ren, Xue; He, Man; Chen, Beibei; Hu, Bin.
  • Tian C; College of Chemistry and Molecular Sciences, Wuhan University, Wuhan, P. R. China.
  • Ren X; College of Chemistry and Molecular Sciences, Wuhan University, Wuhan, P. R. China.
  • He M; College of Chemistry and Molecular Sciences, Wuhan University, Wuhan, P. R. China.
  • Chen B; College of Chemistry and Molecular Sciences, Wuhan University, Wuhan, P. R. China.
  • Hu B; College of Chemistry and Molecular Sciences, Wuhan University, Wuhan, P. R. China.
J Sep Sci ; 45(4): 874-882, 2022 Feb.
Article en En | MEDLINE | ID: mdl-34882983
By monomer-mediated in-situ growth synthesis strategy, with hydroquinone and 1,3,5-tris(4-aminophenyl)benzene as monomers, a core-shell magnetic porous organic polymer was synthesized through a simple azo reaction. Based on this, a magnetic solid-phase extraction-high-performance liquid chromatography-fluorescence detection method was proposed for the analysis of fluoroquinolones in a honey sample. With ofloxacin, ciprofloxacin, enrofloxacin, lomefloxacin, and difloxacin as target analytes, factors affecting the extraction efficiency had been optimized. The LODs were 1.5-5.4 ng/L (corresponding to 0.23-0.81 µg/kg in honey). The linear range was 0.005-20 µg/L for difloxacin, 0.01-20 µg/L for ofloxacin, ciprofloxacin and lomefloxacin, and 0.02-20 µg/L for enrofloxacin. The enrichment factor was 84.4-91.7-fold with a high extraction efficiency of 84.4-91.7%. The method was assessed by the analysis of target fluoroquinolones in honey samples, and the recoveries for the spiked samples were 79.3-95.8%. The results indicated that the established magnetic solid-phase extraction-high-performance liquid chromatography-fluorescence detection method is efficient for the analysis of trace fluoroquinolones in honey.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Miel Tipo de estudio: Diagnostic_studies Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Miel Tipo de estudio: Diagnostic_studies Idioma: En Año: 2022 Tipo del documento: Article