一种基于紫外可见光谱的多金属离子浓度检测方法

发布时间：2018-05-20 23:45

本文选题：紫外可见光谱 + Monte　；参考：《化工学报》2017年03期

【摘要】：针对Cu~(2+),Co~(2+),Zn~(2+) 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。
[Abstract]:Aiming at the problem that the spectra of three metal ion mixed solutions are overlapped and difficult to be detected by UV-Vis spectrophotometry, a new method for detecting the concentration of polymetallic ions based on the improved Monte Carle without information variable elimination method is proposed in this paper. On the basis of MC-UVE, an improved MC-UVE method is proposed by introducing the exponential attenuation function (EDF). Based on this method, the UV-Vis spectrum of the liquid is screened at wavelength. The PLS model was established by using the selected wavelength and the concentration of each component was measured and calculated. Finally, the results of the PLS model based on the MC-UVE method and the modified MC-UVE method were compared and analyzed respectively. The results show that the improved MC-UVE method can screen out the variables with high contribution to the model, and the accuracy of the PLS model based on the variable selection method is high.
【作者单位】：中南大学信息科学与工程学院;
【基金】：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)~~
【分类号】：O657.32

【相似文献】