首页> 外文期刊>Journal of Hazardous Materials >Conductometric simultaneous determination of acetic acid, monochloroacetic acid and trichloroacetic acid using orthogonal signal correction-partial least squares
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Conductometric simultaneous determination of acetic acid, monochloroacetic acid and trichloroacetic acid using orthogonal signal correction-partial least squares

机译:正交信号校正-偏最小二乘电导法同时测定乙酸,一氯乙酸和三氯乙酸

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摘要

A simultaneous conductometric titration method for determination of mixtures of acetic acid, monochloroacetic acid and trichloroacetic acid based on the multivariate calibration partial least squares is proposed. It is possible to obtain an adjustable model to relate squared concentration values of the mixtures used in the calibration range by conductance. The effect of orthogonal signal correction (OSC) as a preprocessing technique used to remove the information unrelated to the target variables is studied. The calibration model was build using conductometric titrations data of 16 mixtures of three acids. The concentration matrix was designed by a orthogonal design. The root mean squares error of prediction (RMSEP) for acetic acid, monochloroacetic acid and trichloroacetic acid with and without OSC were 0.08, 0.30 and 0.08, and 0.15, 0.40 and 0.18, respectively. The results obtained by OSC-PLS are better than the PLS and this indicate the successful application of the OSC filter as a good preprocessing method in multivariate calibration methods. The proposed procedure allows the simultaneous determination of these acids, in the synthetic mixtures.
机译:提出了一种基于多元校正偏最小二乘的同时电导滴定法测定乙酸,一氯乙酸和三氯乙酸混合物的方法。可以获得一个可调整的模型,以通过电导来关联在校准范围内使用的混合物的平方浓度值。研究了正交信号校正(OSC)作为一种用于去除与目标变量无关的信息的预处理技术的效果。使用三种酸的16种混合物的电导滴定数据建立校准模型。通过正交设计设计浓度矩阵。含,不含OSC的乙酸,一氯乙酸和三氯乙酸的预测均方根误差(RMSEP)分别为0.08、0.30和0.08,以及0.15、0.40和0.18。 OSC-PLS获得的结果优于PLS,这表明OSC滤波器作为多变量校准方法中的一种良好的预处理方法得到了成功的应用。拟议的程序允许同时测定合成混合物中的这些酸。

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