Yuan Xiu, Kim Chang Jo, Noh Hyun Ho
Residual Agrochemical Assessment Division, Department of Agro-Food Safety and Crop Protection, National Institute of Agricultural Sciences, Wanju 55365, Republic of Korea.
Foods. 2023 Dec 14;12(24):4477. doi: 10.3390/foods12244477.
The significance of sample grinding is frequently disregarded during the development of analytical methods, which are often validated with spiked samples that may not accurately reflect incurred residues. This study investigated the particle size of ground beans as a key factor in optimizing extraction efficiency in order to develop a simple quick, easy, cheap, effective, rugged, and safe (QuEChERS)-based modified method for identifying 380 pesticides in beans using liquid chromatography-tandem mass spectrometry. The efficacy of pesticide extraction was found to be significantly affected by particle size. With small particle sizes (>40 mesh), no supernatant was recovered after QuEChERS partitioning. Therefore, a simple modification was performed before partitioning. The modified method was validated for selective extraction of pesticides, limits of quantification, linearity, accuracy, and precision. This method is simple to implement and, therefore, useful for the analysis of pesticide residues in beans.
在分析方法开发过程中，样品研磨的重要性常常被忽视，这些方法通常用加标样品进行验证，而加标样品可能无法准确反映实际产生的残留物。本研究调查了磨碎咖啡豆的粒径作为优化提取效率的关键因素，以便开发一种基于简单、快速、便捷、廉价、高效、耐用且安全（QuEChERS）的改良方法，用于使用液相色谱 - 串联质谱法鉴定咖啡豆中的380种农药。发现农药提取效率受粒径显著影响。对于小粒径（>40目），在QuEChERS分配后未回收上清液。因此，在分配前进行了简单的改良。该改良方法针对农药的选择性提取、定量限、线性、准确度和精密度进行了验证。该方法易于实施，因此可用于分析咖啡豆中的农药残留。
