首页> 外文期刊>Journal of AOAC International >Chemometric Study and Optimization of Headspace Solid-Phase Microextraction Parameters for the Determination of Multiclass Pesticide Residues in Processed Cocoa from Nigeria Using Gas Chromatography/Mass Spectrometry
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Chemometric Study and Optimization of Headspace Solid-Phase Microextraction Parameters for the Determination of Multiclass Pesticide Residues in Processed Cocoa from Nigeria Using Gas Chromatography/Mass Spectrometry

机译:气相色谱/质谱法测定尼日利亚加工可可中多种农药残留的顶空固相微萃取参数化学计量学研究和优化

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摘要

Solid-phase microextraction (SPME) is a solventless sample preparation method that combines sample preparation, isolation, concentration, and enrichment into one step. A simple and effective method coupling headspace-SPME to GC/MS was developed for the analysis of chlorpyrifos, fenitrothion, endosulfan I, and endosulfan II pesticide residues in cocoa powder. In this study, multivariate strategy was used to determine the significance of the factors affecting the SPME of the pesticides using a Plackett-Burman design, and the significant factors were optimized using central composite design. The analytes were extracted with 100 lam polydimethylsiloxane fibers according to the factorial design matrix and desorbed into a GC/MS instrument. The developed method was applied for the analysis of a cocoa powder sample, and it exhibited good figures of merit for the analytical methodology. Using the optimized conditions, the linearity ranged from 2.5 to 500 mu g/kg (R-2 > 0.99) using an internal standard calibration method, and the average recoveries were between 75 and 95%, with RSD values between 3.8 and 9.7%
机译:固相微萃取(SPME)是一种无溶剂的样品制备方法,将样品制备,分离,浓缩和富集合并为一个步骤。建立了一种将顶空-SPME与GC / MS偶联的简单有效的方法,用于分析可可粉中的毒死rif,杀nitro硫磷,硫丹I和硫丹II农药残留。在这项研究中,采用Plackett-Burman设计,使用多变量策略确定影响农药SPME的因素的重要性,并使用中心复合设计优化了重要因素。根据析因设计矩阵,用100 lam聚二甲基硅氧烷纤维提取分析物,然后将其解吸到GC / MS仪器中。所开发的方法用于可可粉样品的分析,对于分析方法显示出良好的品质因数。在优化的条件下,采用内标校正方法的线性范围为2.5至500μg / kg(R-2> 0.99),平均回收率在75至95%之间,RSD值在3.8至9.7%之间。

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