CIESC Journal ›› 2017, Vol. 68 ›› Issue (3): 998-1004.DOI: 10.11949/j.issn.0438-1157.20161709

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A UV-Vis analytical method for polymetallic solutions

ZHU Hongqiu, CHEN Junming, YIN Donghang, LI Yonggang, YANG Chunhua   

  1. School of Information Science & Engineering, Central South University, Changsha 410083, Hunan, China
  • Received:2016-12-05 Revised:2016-12-12 Online:2017-03-05 Published:2017-03-05
  • Contact: 10.11949/j.issn.0438-1157.20161709
  • Supported by:

    supported by the State Key Program of National Natural Science Foundation of China (61533021) and the Foundation for Innovative Research Groups of National Natural Science Foundation of China (61621062).

一种基于紫外可见光谱的多金属离子浓度检测方法

朱红求, 陈俊名, 尹冬航, 李勇刚, 阳春华   

  1. 中南大学信息科学与工程学院, 湖南 长沙 410083
  • 通讯作者: 陈俊名,cjmrise@outlook.com
  • 基金资助:

    国家自然科学基金重点项目(61533021);国家创新研究群体科学基金项目(61621062)。

Abstract:

A polymetallic analytical method based on an improved Monte Carlo uninformative variable elimination (MC-UVE) was proposed to determine ion concentration by ultraviolet visible (UV-Vis) spectra of Cu2+, Co2+ and Zn2+ mixture solution. The improved MC-UVE, developed by incorporating exponential attenuation function (EDF), was applied to selecting wavelength of UV-Vis spectra. And the partial least squares calibration model was built on concentrations of polymetallic components at the selected wavelength. Experimental results showed that the improved MC-UVE could select higher contributing model variables and develop more precise PLS model than MC-UVE.

Key words: UV-Vis spectrometry, MC-UVE, wavelength selection, overlapping spectral separation, PLS, photochemistry, computational chemistry

摘要:

针对Cu2+,Co2+,Zn2+ 3种金属离子混合溶液的紫外可见分光光度法(UV-Vis)光谱重叠而难以检测的问题,提出了一种基于改进型Monte Carle无信息变量消除(MC-UVE)方法的多金属离子浓度检测方法。在MC-UVE的基础上引入指数衰减函数(EDF),提出了一种改进的MC-UVE方法,并基于该方法对料液的紫外-可见光谱进行波长筛选;然后,利用筛选出的波长建立PLS模型并进行各组分浓度检测计算;最后,分别对基于MC-UVE方法和改进型MC-UVE方法PLS模型的计算结果进行对比分析。结果表明:改进型MC-UVE方法可筛选出对模型贡献度高的变量,基于该变量选择方法的PLS模型精度高。

关键词: 紫外可见光谱, Monte Carle无信息变量消除, 变量筛选, 重叠光谱分离, 偏最小二乘法, 光化学, 计算化学

CLC Number: