Pesticide Residue and Food Quality Analysis Laboratory, University of Agricultural Sciences, Raichur 584 104, India.
Pesticide Residue and Food Quality Analysis Laboratory, University of Agricultural Sciences, Raichur 584 104, India.
Food Chem. 2021 Jun 15;347:128986. doi: 10.1016/j.foodchem.2020.128986. Epub 2021 Jan 6.
Pigeonpea grains are important sources of vegetarian proteins. It is the paramount importance to check the pesticide residues due to their frequent use during production. The LC-MS/MS and GC-MS/MS analytical method was developed and validated for the simultaneous determination of 79 pesticide residues in pigeonpea. The LOD and LOQ of the analytical method were in the range of 0.53 to 3.97 and 1.60 to 10.05 µg kg, respectively, with a correlation coefficient of more than 0.997. Average recoveries were in the range of 80 to 118.8%, with the RSD of less than 15%. Measurement uncertainty (U) for pesticides was in the range of 3.42 to 12.76 µg kg evaluated at 50 µg kg. The method was applied to analyze the sample collected from the farmer's field. This method could be useful for routine analysis of selected pesticide residue for monitoring purposes.
兵豆粒是素食蛋白质的重要来源。由于在生产过程中频繁使用,检查农药残留至关重要。本研究开发并验证了 LC-MS/MS 和 GC-MS/MS 分析方法,用于同时测定兵豆中的 79 种农药残留。分析方法的检出限和定量限分别在 0.53 至 3.97 µg kg 和 1.60 至 10.05 µg kg 范围内,相关系数均大于 0.997。平均回收率在 80%至 118.8%范围内,相对标准偏差(RSD)小于 15%。在 50 µg kg 下评估,农药测量不确定度(U)在 3.42 至 12.76 µg kg 范围内。该方法应用于分析从农民田间采集的样品。该方法可用于常规监测目的的选定农药残留分析。