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利用中红外光谱法和人工神经网络同时测定洗衣粉中的某些成分

Simultaneous determination of some components in detergent washing powder by mid-infrared spectrometry and artificial neural network.

作者信息

Khanmohammadi Mohammadreza, Garmarudi Amir Bagheri, Rouchi Mohammad Babaei, Khoddami Nafiseh

机构信息

Imam Khomeini International University, Faculty of Science, Chemistry Department, Qazvin, Iran.

出版信息

J AOAC Int. 2011 Jan-Feb;94(1):322-6.

PMID:21391510
Abstract

A method has been established for simultaneous determination of sodium sulfate, sodium carbonate, and sodium tripolyphosphate in detergent washing powder samples based on attenuated total reflectance Fourier transform IR spectrometry in the mid-IR spectral region (800-1550 cm(-1)). Genetic algorithm (GA) wavelength selection followed by feed forward back-propagation artificial neural network (BP-ANN) was the chemometric approach. Root mean square error of prediction for BP-ANN and GA-BP-ANN was 0.0051 and 0.0048, respectively. The proposed method is simple, with no tedious pretreatment step, for simultaneous determination of the above-mentioned components in commercial washing powder samples.

摘要

基于中红外光谱区域(800 - 1550 cm(-1))的衰减全反射傅里叶变换红外光谱法,已建立了一种同时测定洗衣粉样品中硫酸钠、碳酸钠和三聚磷酸钠的方法。化学计量学方法是采用遗传算法(GA)进行波长选择,随后是前馈反向传播人工神经网络(BP - ANN)。BP - ANN和GA - BP - ANN的预测均方根误差分别为0.0051和0.0048。所提出的方法简单,无需繁琐的预处理步骤,可用于同时测定市售洗衣粉样品中的上述成分。

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