Multi-walled carbon nanotubes-based magnetic solid-phase extraction for the determination of zearalenone and its derivatives in maize by ultra-high performance liquid chromatography-tandem mass spectrometry
文献类型: 外文期刊
作者: Han, Zheng 1 ; Jiang, Keqiu 2 ; Fan, Zhichen 1 ; Di Mavungu, Jose Diana; Dong, Maofeng 1 ; Guo, Wenbo 1 ; Fan, Kai; 1 ;
作者机构: 1.Shanghai Acad Agr Sci, Minist Agr, Lab Qual & Safety Risk Assessment Agroprod Shangh, Inst Agrofood Stand & Testing Technol, Shanghai 201403, Peoples R China
2.Zhejiang Univ, Coll Pharmaceut Sci, 866 Yuhangtang Rd, Hangzhou 310058
关键词: Magnetic solid-phase extraction;Multi-walled carbon nanotubes;Maize;Zearalenone and its derivatives;Ultra-high performance liquid chromatography-tandem mass spectrometry
期刊名称:FOOD CONTROL ( 影响因子:5.548; 五年影响因子:5.498 )
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收录情况: SCI
摘要: A simple and rapid magnetic solid-phase extraction (M-SPE) procedure using multi-walled carbon nanotube-magnetic nanoparticles (MWCNT-MNPs) as sorbents was established for purification of zearalenone (ZEA), alpha-zearalenol (alpha-ZOL), beta-zearalenol ((beta-ZOL), zearalanone (ZAN), alpha-zearalanol (alpha-ZAL) and (beta-zearalanol beta-ZAL) in maize. The main parameters affecting the clean-up efficiency were thoroughly investigated, and high purification efficiencies for all analytes were obtained. The resulting MWCNTMNP-ultra-high performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) method was validated for maize samples. The matrix effects were greatly minimized using the M-SPE approach, with signal suppression/enhancement values decreased from 69.9-127.6% to 92.1-103.8%. Consequently, complex matrix -matched calibration curves were not necessary and the calibrations constructed in acetonitrile could be applied for accurate quantification of the targeted mycotoxins in real samples. The average recoveries ranged from 75.8 to 104.1% and the inter- and intra-day precision values expressed as RSDs, were all lower than 14%. Limits of detection and quantification were in the range of 0.03-0.04 and 0.07-0.10 mu g/kg, respectively. The analytical performance of the developed method was also successfully evaluated with maize samples, and this method was proved to be a powerful tool for monitoring ZEA and its derivatives in maize.(C) 2017 Published by Elsevier Ltd.
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