Multicomponent determination of cobalt, copper, and iron with 1,10-phenanthroline by principal component regression modelling of spectrophotometric data

被引:0
作者
M. Kompany-Zareh
A. Massoumi
机构
[1] Department of Chemistry,
[2] Shahid Beheshti University,undefined
[3] Evin,undefined
[4] Tehran 19839,undefined
[5] Iran,undefined
来源
Fresenius' Journal of Analytical Chemistry | 1999年 / 363卷
关键词
Iron; Copper; Regression Modelling; Cobalt; Relative Error;
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摘要
A spectrophotometric method for the simultaneous determination of Co, Cu, and Fe in ternary mixtures by means of 1,10-phenanthroline as a complexing agent was developed. The influence of chemical variables affecting the analytical reaction was evaluated. A principal component regression procedure was used to assess spectrophotometric data obtained from nineteen calibration solutions. The method was validated by applying it to the analysis of synthetic mixtures over the concentration ranges 0–407 μmol Co/L, 0–189 μmol Cu/L, and 0–143 μmol Fe/L. It was also successfully employed for the analysis of two cobalt magnetic alloys. The relative errors in the determinations were less than 7% in most cases.
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页码:219 / 223
页数:4
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