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Simultaneous Determination of Nine Quinolones in Pure Milk Using PFSPE-HPLC-MS/MS with PS-PAN Nanofibers as a Sorbent.
Wei, Lanlan; Chen, Yanan; Shao, Dongliang; Li, Jingjun.
Afiliación
  • Wei L; College of Food Engineering, Anhui Science and Technology University, Chuzhou 233100, China.
  • Chen Y; Anhui Guoke Testing Technology Co., Ltd., Hefei 230000, China.
  • Shao D; College of Food Engineering, Anhui Science and Technology University, Chuzhou 233100, China.
  • Li J; Anhui Guoke Testing Technology Co., Ltd., Hefei 230000, China.
Foods ; 11(13)2022 Jun 22.
Article en En | MEDLINE | ID: mdl-35804659
In this study, a packed-fiber solid-phase extraction (PFSPE)-based method was developed to simultaneously detect nine quinolones, including enrofloxacin (ENR), ciprofloxacin (CIP), ofloxacin (OFL), pefloxacin (PEF), lomefloxacin (LOM), norfloxacin (NOR), sarafloxacin (SAR), danofloxacin (DAN), and difloxacin (DIF), in pure milk, using high-performance liquid chromatography coupled with tandem mass spectrometry (HPLC-MS/MS). Polystyrene (PS) and polyacrylonitrile (PAN) were combined to form PS-PAN composite nanofibers through electrospinning. The nanofibers were used to prepare the home-made extraction columns, and the process was optimized and validated using blank pure milk. The analytical method showed high accuracy, and the recoveries were 88.68-97.63%. Intra-day and inter-day relative standard deviations were in the ranges of 1.11-6.77% and 2.26-7.17%, respectively. In addition, the developed method showed good linearity (R2 ≥ 0.995) and low method quantification limits for the nine quinolones (between 1.0-100 ng/mL) for all samples studied. The nine quinolones in the complex matrix were directly extracted using 4.0 mg of PS-PAN composite nanofibers as a sorbent and completely eluted in 100 µL elution solvent. Therefore, the developed PFSPE-HPLC-MS/MS is a sensitive and cost-effective technique that can effectively detect and control nine quinolones in dairy products.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Foods Año: 2022 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Foods Año: 2022 Tipo del documento: Article País de afiliación: China
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