Simultaneous Spectrophotometric Determination of Copper, Zinc, Nickel and Cobalt in Water Using Principal Component Regression Coupled with Wavelet Transform

被引：0

作者：

Ma, Xiaoguo ^{[1
]}

Huang, Dahai ^{[1
]}

机构：

[1] Guangdong Univ Technol, Fac Environm Sci & Engn, Guangzhou 510006, Guangdong, Peoples R China

来源：

ICEET: 2009 INTERNATIONAL CONFERENCE ON ENERGY AND ENVIRONMENT TECHNOLOGY, VOL 2, PROCEEDINGS | 2009年

关键词：

Copper; Zinc; Nickel; Cobalt; Principal component regression; Wavelet transform; Spectrophotometry;

D O I：

10.1109/ICEET.2009.418

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This paper describes the simultaneous spectrophotometric determination of copper, zinc, nickel and cobalt in water with 5-Br-PADAP. The absorbance spectra obtained were processed with wavelet transform (WT) for removal of noise from the spectra. In order to eliminate spectral interferences, calculation of the metal concentrations in mixtures was performed using principal component regression (PCR). The results showed that the combination of MT and PCR allowed more accurate and precious spectrophotometric determination of these ions than traditional PCR approach.

引用

页码：745 / 747

页数：3

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