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采用德国联邦风险评估研究所(DFG)多残留方法S19,通过毛细管气相色谱法对植物性食品中的农药残留进行筛查分析:电子捕获检测器/氮磷检测器常规检测与新型原子发射检测器(AED)的比较

Screening analysis of pesticide residues in plant foodstuffs by capillary gas chromatography using the DFG multiresidue method S19: a comparison of customary detection by ECD/NPD with the novel atomic emission detector (AED).

作者信息

Linkerhägner M, Stan H J

机构信息

Technical University of Berlin, Institute of Food Chemistry, Germany.

出版信息

Z Lebensm Unters Forsch. 1994 Jun;198(6):473-9. doi: 10.1007/BF01192843.

Abstract

Over a period of 7 months nearly 240 plant foodstuffs taken fresh from the market were analysed for pesticide residues using the Deutsche Forschungsgemeinschaft (DFG) multiresidue method (MRM) S19. The analysed foodstuffs were a representative cross-section of different fruits and vegetables offered on sale on the German market. With the slightly modified MRM S19, up to 400 pesticides and metabolites amenable to gas chromatography (GC) can be determined. The screening analysis was performed with the combination GC-electron-capture detector (ECD)/nitrogen-phosphorus detector (NPD) as well as with the combination GC-atomic emission detector (AED) in parallel. Results obtained from both screening systems agree over the whole concentration range observed. With so-called "problem foodstuffs" the combination GC-AED is clearly more suitable. Confirmation of positive results was performed by GC-mass spectrometry (MS) analysis. On account of its higher selectivity and its wide linear dynamic range down to the lowest detectable concentrations, the GC-AED system produces more reliable quantitative results compared to those obtained from the GC-ECD/NPD system.

摘要

在7个月的时间里,使用德国研究联合会(DFG)的多残留方法(MRM)S19对近240种从市场上新鲜采集的植物性食品进行了农药残留分析。所分析的食品是德国市场上出售的不同水果和蔬菜的代表性样本。采用略作修改的MRM S19方法,可测定多达400种适合气相色谱(GC)分析的农药和代谢物。筛选分析采用气相色谱 - 电子捕获检测器(ECD)/氮磷检测器(NPD)组合以及气相色谱 - 原子发射检测器(AED)组合并行进行。在整个观察到的浓度范围内,两种筛选系统获得的结果一致。对于所谓的“问题食品”,气相色谱 - AED组合显然更适用。阳性结果通过气相色谱 - 质谱(MS)分析进行确证。由于其更高的选择性以及从最低可检测浓度到高浓度范围的宽线性动态范围,与气相色谱 - ECD/NPD系统相比,气相色谱 - AED系统产生的定量结果更可靠。

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