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首页> 外文期刊>Journal of Chemometrics >Standard signal extraction for analyzing target analytes in real samples with complex matrices
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Standard signal extraction for analyzing target analytes in real samples with complex matrices

机译:标准信号提取,用于分析具有复杂基质的真实样品中的目标分析物

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A second-order method, standard signal extraction was proposed for quantitative analysis of target analytes in the samples with complex matrices by gas chromatography-mass spectrometry. In the method, standard addition was adopted. The data of the pure standard, sample, and spiked sample were used in the calculation. By performing principal component analysis on the data aligned with the measured signals of the sample and standard, the standardized signal that is orthogonal to the signals of interferences in the sample can be extracted. Then, the signal of spiked sample was projected to the standardized signal. The concentration ratio of the target analyte in the sample and spiked sample can be obtained. Finally, the concentration of the target analyte in the sample can be calculated with the added concentration in the spiked sample. Both simulated and experimental data were investigated with the proposed approach, compared with rank annihilation factor analysis. The recoveries of standard addition were found in a range of 99-105%, and the relative standard deviations obtained in three repeated measurements were less than 3%. Results show that the method can accurately estimate the quantitative information of analytes of interest in the presence of interferents and can be applied more widely compared with rank annihilation factor analysis. Copyright (c) 2015 John Wiley & Sons, Ltd.
机译:提出了一种第二种方法,即标准信号提取,用于通过气相色谱-质谱法对复杂基质样品中的目标分析物进行定量分析。该方法采用标准添加。在计算中使用了纯标准品,样品和加标样品的数据。通过对与样品和标准品的测量信号对齐的数据进行主成分分析,可以提取与样品中干扰信号正交的标准化信号。然后,将加标样品的信号投影到标准化信号。可以获得样品和加标样品中目标分析物的浓度比。最后,可以用加标样品中的添加浓度来计算样品中目标分析物的浓度。用拟议的方法对模拟和实验数据进行了研究,并与秩歼灭因子分析进行了比较。发现标准添加物的回收率在99%到95%之间,并且在三次重复测量中获得的相对标准偏差小于3%。结果表明,该方法可以在干扰物存在的情况下准确估计目标分析物的定量信息,并且与秩rank灭因子分析相比,可以更广泛地应用。版权所有(c)2015 John Wiley&Sons,Ltd.

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