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Simultaneous determination of multicomponents in air toxic organic compounds with Partial Least-Squares Method using FTIR spectroscopy

机译:FTIR偏最小二乘法同时测定空气中有毒有机化合物中的多组分

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The multicomponent analysis with Partial Least-Squares Method (PLS) using FTIR spectroscopy has been studied in this paper. In order to ensure the reliability of the prediction results, a criterion SO and SA is created in the PLS algorithm to conclude the similarity between the prediction samples and the calibration ones. An example for the simultaneous determination of Ethylbenzene, Styrene, o-Xylene, m-Xylene and p-Xylene is supplied. The experimental designs of the both the calibration and prediction samples are discussed as well as the significant factor number. With proper multivariate calibration conditions, the average mean relative error (MRE %) is 0.25 % and the average relative standard deviations (RSD%) for Ethylbenzene, Styrene, o-Xylene, m-Xylene and p-Xylene are 0.19, 0.15, 0.06, 0.44 and 0.13 %, respectively. [References: 12]
机译:本文研究了采用FTIR光谱的偏最小二乘法(PLS)进行多组分分析。为了保证预测结果的可靠性,在PLS算法中建立了标准SO和SA,以推断预测样本和校准样本之间的相似性。提供了同时测定乙苯,苯乙烯,邻二甲苯,间二甲苯和对二甲苯的示例。讨论了校准样本和预测样本的实验设计以及有效因子数。在适当的多元校正条件下,乙苯,苯乙烯,邻二甲苯,间二甲苯和对二甲苯的平均相对平均误差(MRE%)为0.25%,平均相对标准偏差(RSD%)为0.19、0.15、0.06 ,分别为0.44和0.13%。 [参考:12]

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