Simultaneous quantification of Two Neonicotinoids using QuERChERS-LC-MS/MS in Moroccan Spearmint (Mentha Spicata.L): Qualimetry of the method by Uncertainty estimation using Generalized Pivotal Quantities approach and Monte Carlo simulation

IF 1.7 4区 农林科学 Q3 CHEMISTRY, ANALYTICAL
Hicham Aaziz, Taoufiq Saffaj, Yassine Hameda Benchekroun, Bouchaib Ihssane
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引用次数: 0

Abstract

Background Neonicotinoids are used for the phystosanitary treatment of Mentha Spicata.L crops, and this practice requires precise control of these harmful substances at very low concentrations. Objective The objective of this study is to apply an approach allowing simultaneously validation and evaluation of measurement uncertainty based on total error methodology, in order to accurately quantify the presence of two neonicotinoids in Mentha Spicata.L utilizing a QuEChERS-LC-MS/MS methodology. Methods Assay of Imidacloprid and Acetamiprid using QuEChERS extraction method coupled with LC-MS/MS to guarantee the analytical method's accuracy and control the risk of its routine use. A complete and exhaustive validation approach based on the “β-content, γ-confidence” tolerance interval was used for the uncertainty assessment, using the Generalised Pivot Quantity (GPQ) concept and Monte Carlo simulation, which avoids the need for additional data while achieving intermediate precision for each concentration level within predetermined acceptable limits. Results The validation procedure is based on the choice of a quadratic model for the two neonicotinoids, allowing the validation of Acetamiprid and Imidacloprid by LC-MS/MS assay within the range of working concentration. The flexibility of the Uncertainty Profile intervals was demonstrated with a variation in β-content values (66.7%, 80%, and 90%) and risk values (10% and 5%), which remained within the acceptability limits of 20%, and the relative expanded uncertainty did not exceed 15% and 11%. Conclusion QuEChERS- LC-MS/MS method for the analysis of two neonicotinoids has successfully been fully validated using the Uncertainty Profile strategy. Highlights Application of a full validation strategy based on the validation and uncertainty assessment for the quantification of two main Neonicotinoids in Mentha Spicata.L using QuEChERS- LC-MS/MS. This qualimetric has been conducted by computing of the measurement uncertainty of the method utilizing data from analytical validation under conditions of intermediate precision at each level of concentration without additional effort, after that we have demonstrate the flexibility of this strategy for the LC-MS/MS quantification of acetamiprid and imidacloprid, using a decision tool that enables the choice and modification of β-content and γ-confidence values.
使用 QuERChERS-LC-MS/MS 同时定量摩洛哥薄荷(Mentha Spicata.L)中的两种新烟碱类化合物:通过使用广义枢轴量方法和蒙特卡罗模拟进行不确定性估计来确定方法的质量
背景 新烟碱被用于薄荷作物的植物检疫处理,这种做法要求在极低浓度下对这些有害物质进行精确控制。本研究的目的是采用一种基于总误差的方法,同时验证和评估测量的不确定性,以便利用 QuEChERS-LC-MS/MS 方法准确定量薄荷中的两种新烟碱类物质。采用 QuEChERS 萃取法结合 LC-MS/MS 方法检测吡虫啉和啶虫脒,以保证分析方法的准确性并控制其常规使用风险。在不确定性评估中采用了基于 "β-含量,γ-置信度 "容差区间的完整、详尽的验证方法,使用了广义枢轴量(GPQ)概念和蒙特卡罗模拟,避免了对额外数据的需求,同时在预定的可接受范围内实现了各浓度水平的中间精度。结果 验证程序基于对两种新烟碱类化合物选择二次方模型,允许在工作浓度范围内通过 LC-MS/MS 检测法验证啶虫脒和吡虫啉。β-含量值(66.7%、80% 和 90%)和风险值(10% 和 5%)的变化证明了不确定度曲线区间的灵活性,这些变化保持在 20% 的可接受范围内,相对扩大的不确定度不超过 15%和 11%。结论 采用不确定性曲线策略成功地全面验证了用于分析两种新烟碱类化合物的 QuEChERS- LC-MS/MS 方法。亮点 应用基于验证和不确定性评估的全面验证策略,使用 QuEChERS- LC-MS/MS 对薄荷中的两种主要新烟碱进行定量分析。在不增加额外工作的情况下,利用各浓度水平下中等精度条件下的分析验证数据,计算方法的测量不确定性,从而进行定性分析;之后,我们使用一个决策工具来选择和修改 β-含量和 γ-置信度值,展示了该策略在 LC-MS/MS 定量啶虫脒和吡虫啉方面的灵活性。
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来源期刊
Journal of AOAC International
Journal of AOAC International 医学-分析化学
CiteScore
3.10
自引率
12.50%
发文量
144
审稿时长
2.7 months
期刊介绍: The Journal of AOAC INTERNATIONAL publishes the latest in basic and applied research in analytical sciences related to foods, drugs, agriculture, the environment, and more. The Journal is the method researchers'' forum for exchanging information and keeping informed of new technology and techniques pertinent to regulatory agencies and regulated industries.
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