标题：UPLC-MS/MS同时测定5种南药中药材中10种农药残留

      作者：郑培，王儒，周敏    (海南省食品药品检验所海口分所，海南 海口 570311)

      卷次： 2017年28卷20期

      【摘要】 目的 建立同时测定广藿香、益智、巴戟天、肉豆蔻、丁香等 5种南药中常见的 10种农药残留的方法。方法 采用安捷伦1290-6460超高效液相色谱质谱联用仪(UPLC-MS/MS)。色谱柱：安捷伦ZORBAX EclipsePlus C18 (2.1 mm×150 mm，1.8 μm)，柱温40℃，梯度洗脱，流速0.4 mL/min；采用电喷雾离子源(AJS ESI)，多反应离子监测(MRM)扫描方式。结果 10种农药检测质量浓度线性范围为0.5~100 μg/kg (r>0.998 6)，各被测物质的方法定量限(LOQ)为0.005~0.1 μg/kg，加样回收率范围为72.8%~108.8%。结论 所建立的方法简单、快速、准确度及灵敏度高、专属性好，可用于5种南药中药材中常见的10种农药残留的测定。
      【关键词】 超高效液相色谱-串联质谱；农药残留；广藿香；益智；巴戟天；肉豆蔻；丁香
      【中图分类号】 R28 【文献标识码】 A 【文章编号】 1003—6350（2017）20—3352—05

Simultaneous determination of ten pesticide residues in five Chinese medicinal materials by UPLC-MS/MS.ZHENG Pei, WANG Ru, ZHOU Min.
Haikou Branch of Hainan Provincial Institute for Drug and Food Control, Haikou570311, Hainan, CHINA
【Abstract】 Objective To establish a method for simultaneous determination of 10 pesticide residues in fiveChinese medicinal materials (Pogostemon cablin, Alpinia oxyphylla, Morinda officinalis, Myristica fragrans, Syzygium aro-maticum). Methods The Agilent 1 290-6 460 ultra performance liquid chromatography-mass spectrometry analysis ofenzymatic assays (UPLC-MS/MS), Agilent Jet Stream electrospray ionization (AJS ESI), multiple reaction monitoring(MRM), Agilent MassHunter software were used to peform qualitative and quantitative analysis. Results The linear rangesof 10 pesticide residues was 0.5-100 μg/kg (r>0.9986), and the limit of quantity (LOQ) was 0.005-0.1 μg/kg, while the re-covery rate was 72.8%-108.8%. Conclusion UPLC-MS/MS method is simple, sensitive, and accurate, which can beused for the determination of 10 pesticide residues in Pogostemon cablin, Alpinia oxyphylla, Morinda officinalis, Myristicafragrans, Syzygium aromaticum.
      【Key words】 Ultra performance liquid chromatography-mass spectrometry analysis of enzymatic assays(UPLC-MS/MS); Pesticide residues; Pogostemon cablin; Alpinia oxyphylla; Morinda officinalis; Myristica fragrans; Syzy-gium aromaticum·论 著·doi:10.3969/j.issn.1003-6350.2017.20.028