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Quantification of analytes affected by relevant interfering signals under quality controlled conditions

机译:在质量控制条件下定量分析受相关干扰信号影响的分析物

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The analysis of organic contaminants or residues in biological samples is frequently affected by the presence of compounds producing interfering instrumental signals.This feature is responsible for the higher complexity and cost of these analyses and/or by a significant reduction of the number of studied analytes in a multi-analyte method. This work presents a methodology to estimate the impact of the interfering compounds on the quality of the analysis of complex samples,based on separative instrumental methods of analysis,aiming at supporting the inclusion of analytes affected by interfering compounds in the list of compounds analysed in the studied samples. The proposed methodology involves the study of the magnitude of the signal produced by the interfering compounds in the analysed matrix,and is applicable to analytical systems affected by interfering compounds with varying concentration in the studied matrix.The proposed methodology is based on the comparison of the signals from a representative number of examples of the studied matrix,in order to estimate the impact of the presence of such compounds on the measurement quality.The treatment of the chromatographic signals necessary to collect these data can be easily performed considering algorithms of subtraction of chromatographic signals available in most of the analytical instrumentation software.The subtraction of the interfering compounds signal from the sample signal allows the compensation of the interfering effect irrespective of the relative magnitude of the interfering and analyte signals,supporting the applicability of the same model of the method performance for a broader concentration range.The quantification of the measurement uncertainty was performed using the differential approach,which allows the estimation of the contribution of the presence of the interfering compounds to the quality of the measurement. The proposed methodology was successfully applied to the analysis of pesticide residues in spiked oranges considering the quantification of the oranges ethyl acetate extract by gas-chromatography with electron capture detector.The application of the proposed methodology to the analysis of this fruit using the studied chromatographic system,allowed the quantification of an increased number of analytes in the samples. The magnitude of the measurement uncertainty estimated by the proposed methodology is fit for the purpose of monitoring pesticide residues in oranges since,frequently,the difference between the maximum residue level and the best estimation of the sample content is larger than the respective uncertainty. The proposed methodology can be useful in other analytical fields and/or instrumental methods of analysis.
机译:生物样品中有机污染物或残留物的分析通常会受到产生干扰仪器信号的化合物的影响,此功能导致这些分析的复杂性和成本更高和/或显着减少了分析物中的分析物数量多分析物方法。这项工作基于分离的仪器分析方法,提出了一种估算干扰化合物对复杂样品分析质量的影响的方法,旨在支持将受干扰化合物影响的分析物包括在分析中的化合物列表中。研究样本。所提出的方法论涉及对被分析基质中干扰化合物产生的信号强度的研究,并且适用于受研究基质中浓度变化的干扰化合物影响的分析系统。为了估计此类化合物的存在对测量质量的影响,可以从代表性的基质实例中提取一些信号。考虑到色谱减去的算法,可以很容易地对收集这些数据所必需的色谱信号进行处理。大多数分析仪器软件中都提供了信号。从样品信号中减去干扰化合物信号可以补偿干扰效应,而与干扰信号和分析物信号的相对大小无关,支持该方法相同模型的适用性更广泛的表现使用微分法对测量不确定度进行定量,可以估算干扰化合物的存在对测量质量的影响。考虑到用电子捕获检测器通过气相色谱对橘子中的乙酸乙酯提取物进行定量分析,该方法成功地用于加标橘子中的农药残留分析。该方法在所研究的色谱系统中对该水果的分析中的应用允许定量分析样品中增加的分析物数量。通过所提出的方法估算的测量不确定度的大小适合用于监测橘子中农药残留的目的,因为最大残留水平和样品含量的最佳估算之间的差异通常大于各自的不确定度。所提出的方法可以在其他分析领域和/或分析的仪器方法中有用。

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