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首页> 外文期刊>Food analytical methods >Determination of 3-Monochloropropane-1,2-Diol Esters in Edible OilaEuro center dot Method Validation and Estimation of Measurement Uncertainty
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Determination of 3-Monochloropropane-1,2-Diol Esters in Edible OilaEuro center dot Method Validation and Estimation of Measurement Uncertainty

机译:食用油中3-一氯丙烷-1,2-二醇酯的测定欧洲中心点法验证和测量不确定度估计

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摘要

A gas chromatography mass spectrometry (GC-MS) method was developed and validated for the determination of the sum of 3-monochloropropane-1,2-diol (3-MCPD) esters in edible oils. Meanwhile, the measurement uncertainty was estimated. Testing sample preparation was optimized, and the optimal condition was attained. Good linearity was observed with the GC-MS method for the concentration range of 0.05-5.0 mg/kg (R (2) = 0.9994). It was proved to be an accurate and precise method for the determination of 3-MCPD esters according to the validation results. The recovery range was 89.0-104.6 %, and the limits of detection (LOD) and the limits of quantification (LOQ) were 25 and 50 mu g/kg, respectively. Satisfactory reproducibility was achieved with lower than 15 %. Repeatability was determined and expressed as relative standard deviation (RSD), with the value range of 3.9-12.0 %.The contents of 3-MCPD esters were determined in 12 kinds of oils using this method. Measurement uncertainties were calculated by applying bottom-up approach. The main dominant sources were identified and quantified, which were standard solutions preparation, recovery, and calibration curve. It reminds that the predominant uncertainty sources should be paid much more attention during preparing the testing samples in the future.
机译:建立了气相色谱质谱(GC-MS)方法,并验证了该方法可用于测定食用油中的3-一氯丙烷-1,2-二醇(3-MCPD)酯的总量。同时,估计测量不确定度。优化了测试样品的制备,并获得了最佳条件。使用GC-MS方法观察到浓度范围为0.05-5.0 mg / kg时具有良好的线性(R(2)= 0.9994)。根据验证结果,证明该方法是测定3-MCPD酯的准确方法。回收率范围为89.0-104.6%,检出限(LOD)和定量限(LOQ)分别为25和50μg / kg。低于15%的结果具有令人满意的重现性。测定重复性并以相对标准偏差(RSD)表示,取值范围为3.9-12.0%。使用该方法测定12种油中的3-MCPD酯含量。通过采用自下而上的方法来计算测量不确定度。确定并量化了主要的主要来源,包括标准溶液的制备,回收率和校准曲线。它提醒您,将来在准备测试样品时应更加注意主要的不确定性来源。

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