Shrestha Suraj, Lamichhane Bandana, Chaudhary Nibedita
National Food and Feed Reference Laboratory, Department of Food Technology and Quality Control, Kathmandu, Nepal.
Int J Anal Chem. 2024 Jan 10;2024:3846392. doi: 10.1155/2024/3846392. eCollection 2024.
Method validation is an essential technique for ensuring the reliability and accuracy of an analytical method. This study aimed to optimize and validate a fast, reliable, and accurate method for quantitatively determining pesticide residues of diverse chemical classes in the tomato matrix. Various method performance characteristics were tested and compared with predefined criteria. Twenty-six different pesticides of diverse chemical classes were selected based on their use in tomato cultivation and the availability of reference materials. The pesticide residues in tomato samples were extracted with the QuEChERS technique with some modifications, followed by injection into an LC-MS/MS system operating in an optimized method. The validated method demonstrated reasonable specificity, as there were no interferences from matrix components at the retention times of pesticides. The calibration curves for all pesticides exhibited excellent linearities, with correlation coefficients exceeding 0.99. No significant matrix effect was observed for all pesticides in tomatoes, as the values fell within the range of ±20%. All pesticides were quantified successfully at a concentration of 5 g/kg except for carbaryl, with an average recovery of more than 70% and a relative standard deviation of less than 20%. Similarly, measurement uncertainties were also estimated based on the validation data, and the values were found below the default limit of 50%. Subsequently, the validated method was applied to analyze 52 locally collected tomato samples. Study findings revealed that only four of the studied pesticides were detected in these samples, and their concentrations were below the maximum residue limits (500 g/kg each for carbendazim, imidacloprid, and metalaxyl) established for tomatoes by the Government of Nepal and the Codex Alimentarius Commission.
方法验证是确保分析方法可靠性和准确性的一项重要技术。本研究旨在优化并验证一种快速、可靠且准确的方法,用于定量测定番茄基质中多种化学类别的农药残留。对各种方法性能特征进行了测试,并与预先设定的标准进行了比较。基于其在番茄种植中的使用情况和参考物质的可获得性,选择了26种不同化学类别的农药。番茄样品中的农药残留采用经改良的QuEChERS技术进行提取,随后注入以优化方法运行的液相色谱-串联质谱系统。验证后的方法显示出合理的特异性,因为在农药的保留时间处没有基质成分的干扰。所有农药的校准曲线均表现出优异的线性,相关系数超过0.99。在番茄中,所有农药均未观察到显著的基质效应,因为其值落在±20%的范围内。除西维因外,所有农药在浓度为5 g/kg时均成功定量,平均回收率超过70%,相对标准偏差小于20%。同样,基于验证数据还估计了测量不确定度,发现其值低于50%的默认限值。随后,将验证后的方法应用于分析52个本地采集的番茄样品。研究结果表明,在这些样品中仅检测到4种所研究的农药,其浓度低于尼泊尔政府和食品法典委员会为番茄设定的最大残留限量(多菌灵、吡虫啉和甲霜灵各为500 g/kg)。