首页> 外文期刊>Chromatographia >Multi-pesticide Residues Determination in Samples of Fruits and Vegetables Using Chemometrics Approach to QuEChERS-dSPE Coupled with Ionic Liquid-Based DLLME and LC–MS/MS
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Multi-pesticide Residues Determination in Samples of Fruits and Vegetables Using Chemometrics Approach to QuEChERS-dSPE Coupled with Ionic Liquid-Based DLLME and LC–MS/MS

机译:使用化学计量方法与Quecher-DSPE的水果和蔬菜样品中的多种农药残留测定与离子液体的DLLME和LC-MS / MS相结合

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Pesticides play vital roles in agricultural practices, but the nature and mishandling of the chemicals have led to their accumulation in moist soil, vegetables and fruits. Thus, development of efficient methods for pesticides determination is one of the most important ways to address such challenges. Multivariate response surface methodology optimisation using Placket–Burman and Box–Behnken designs were respectively used for screening and optimisation of significant factors of quick, easy, cheap, effective, rugged and safe (QuEChERS) with dispersive solid-phase extraction (SPE). Consequently, the optimised QuEChERS-dSPE technique coupled with modified ionic liquid-based (IL-based) dispersive liquid–liquid microextraction was used for sample preparation before LC–MS/MS. The developed method was validated (SANTE 11831-2017) for multi-pesticide residues determination in samples of bananas, cabbages, tomatoes, oranges and onions. The precision results were satisfactory in terms of relative standard deviation (≤?20%) as recommended. The results of accuracy for relative recoveries (82–137%) were satisfactory because 92.5% of results were within the recommended range (70–120%). The matrix effects in all the samples were very weak (less effective) (≤???80%). The linearity of the evaluated results was 5–400?μg?kg_(?1)and regression coefficients ( R _(2)) were?>?0.99. The resulting limits of detection and quantitation were 0.02–0.32 and 0.07–1.06?μg?kg_(?1), respectively, and therefore satisfactory. Certifiably, the estimated measurement uncertainties range (1–16%) was acceptable (≤?50%). Thus, the developed method could be reliable and suitable for routine determination of multiple pesticide residues in various vegetable and fruit samples.
机译:杀虫剂在农业实践中起着重要作用,但化学品的性质和误操作导致了它们在湿润土壤,蔬菜和水果中的积累。因此,开发有效的农药测定方法是解决这些挑战的最重要方法之一。使用Placket-Burman和Box-Behnken设计的多变量响应表面方法优化分别用于筛选和优化具有分散固相提取(SPE)的快速,容易,便宜,有效,坚固,安全(Quechers)的显着因素。因此,使用改性离子液体基(基于IL基)色散液 - 液微萃取的优化QueChers-DSPE技术用于LC-MS / MS之前的样品制备。验证了开发的方法(Sante 11831-2017),用于香蕉,卷心菜,西红柿,橘子和洋葱样品中的多种农药残留测定。根据建议的相对标准偏差(≤≤20%),精度结果令人满意。相对回收的准确性(82-137%)的结果令人满意,因为92.5%的结果在推荐范围内(70-120%)。所有样品中的基质效应非常弱(效率较低)(≤≤y80%)。评估结果的线性是5-400ΩΩ·kg _(α1)和回归系数(R _(2))是?> 0.99。所得的检测和定量极限分别为0.02-0.32和0.07-1.06ΩΩ·kg _(α1),因此令人满意。认真的,估计的测量不确定性范围(1-16%)可接受(≤≤≤50%)。因此,开发方法可以是可靠的并且适用于各种蔬菜和水果样品中多种农药残留的常规测定。

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