Yıldız Technical University, Department of Chemistry, 34349 İstanbul, Turkey.
Yıldız Technical University, Department of Chemical Engineering, 34349 İstanbul, Turkey.
Food Chem. 2021 Apr 16;342:128294. doi: 10.1016/j.foodchem.2020.128294. Epub 2020 Oct 13.
A novel analytical strategy for the trace determination of pyridaphenthion pesticide was developed in this study. Gas chromatography-mass spectrometry (GC-MS) was used for the accurate, feasible and precise determination of this analyte. Liquid phase microextraction (LPME) was performed with a metal sieve linked double syringe (MSLDS) system, which eliminated the need for a disperser solvent. In order to increase extraction efficiency for the analyte, all variable parameters were optimized and the system analytical performance of the proposed method was determined. Limit of detection and quantification (LOD and LOQ) values of pyridaphenthion were found to be 0.8 and 2.7 µg L, respectively. Compared to GC-MS system's analytical performance, the developed method provided approximately 273-folds improvement in the detection limit of the analyte. Applicability/accuracy of the developed analytical strategy was checked by recovery experiments carried out with soybean sprouts, and the results obtained were satisfactory.
本研究提出了一种用于痕量啶虫脒农药检测的新型分析策略。采用气相色谱-质谱联用(GC-MS)对该分析物进行准确、可行和精确的测定。采用金属筛连接双注射器(MSLDS)系统进行液相微萃取(LPME),无需使用分散溶剂。为了提高分析物的萃取效率,优化了所有可变参数,并确定了所提出方法的系统分析性能。啶虫脒的检出限和定量限(LOD 和 LOQ)分别为 0.8 和 2.7 µg L。与 GC-MS 系统的分析性能相比,所开发的方法使分析物的检测限提高了约 273 倍。通过用豆芽进行回收实验来检查所开发的分析策略的适用性/准确性,结果令人满意。