Shi Jiawei, Li Jige, Wang Yufei, Fan Jianzhong
Nigbo Key Laboratory of Poison Research and Control, Ningbo Municipal Center for Disease Control and Prevention, Ningbo 315010, China.
Se Pu. 2012 Jun;30(6):602-12. doi: 10.3724/sp.j.1123.2012.02019.
A method was developed and validated for the simultaneous analysis of 112 pesticide residues in vegetables by gas chromatography coupled with triple quadrupole mass spectrometry (GC-QQQ-MS/MS). It is demonstrated that the optimized conditions could provide a more accurate quantitation and lower limit of quantification of the analysis by dispersive-solid phase extraction (D-SPE) cleanup. The samples were extracted with acetonitrile and toluene (8: 1, v/v), and cleaned up by D-SPE. To every 5 mL extraction solution, 0.8 g MgSO4, 0.05 g graphitized carbon black (GCB), 0.1 g ethylenediamine-N-propyl silyl (PSA) and 0.05 g C18 were added. The extracts were analyzed by GC-QQQ-MS/MS using internal standard method. The recoveries of the 112 pesticides at three spiked levels of 20, 50 and 200 microg/kg were ranged from 53.1% to 138.7%, and among which those of 86 pesticides were from 65.0% to 120.0%. The relative standard deviations (RSD) were less than 12%. The limits of quantifications (LOQs) (signal/noise at 10) were between 1.6 and 13.4 microg/kg. The vegetable samples collected from the market such as garlic chives, cucumber and purple cabbage were analyzed, and the residues of triazophos and fenpropathrin were detected in some of these samples. The method can be applied to the routine analysis for the determination of the 112 pesticides in vegetable samples.
建立并验证了一种气相色谱-三重四极杆质谱联用(GC-QQQ-MS/MS)同时分析蔬菜中112种农药残留的方法。结果表明,优化后的条件通过分散固相萃取(D-SPE)净化,可为分析提供更准确的定量结果和更低的定量限。样品用乙腈和甲苯(8:1,v/v)提取,并用D-SPE净化。向每5 mL提取液中加入0.8 g硫酸镁、0.05 g石墨化炭黑(GCB)、0.1 g乙二胺-N-丙基硅烷(PSA)和0.05 g C18。提取物采用内标法通过GC-QQQ-MS/MS进行分析。112种农药在20、50和200 μg/kg三个加标水平下的回收率为53.1%至138.7%,其中86种农药的回收率为65.0%至120.0%。相对标准偏差(RSD)小于12%。定量限(LOQ)(信噪比为10时)在1.6至13.4 μg/kg之间。对从市场采集的韭菜、黄瓜和紫甘蓝等蔬菜样品进行了分析,部分样品中检测到了三唑磷和甲氰菊酯残留。该方法可应用于蔬菜样品中112种农药的常规测定分析。