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应用遗传算法的扫描式ICP-AES光谱定性分析
引用本文:彭彬,刘克玲,李治民,王岳松,黄图江. 应用遗传算法的扫描式ICP-AES光谱定性分析[J]. 光谱学与光谱分析, 2002, 22(3): 458-460
作者姓名:彭彬  刘克玲  李治民  王岳松  黄图江
作者单位:中国科学院过程工程研究所,原化工冶金研究所,北京,100080
摘    要:用遗传算法进行了扫描式ICP-AES的自动光谱定性分析,无需标样并能克服光谱干扰自动报出未知样品中的元素成分及含量范围,复制,杂交及变异算子分别为0.6,0.4和0,实际样品的光谱分析结果初步表明;对光谱峰位移进行一定的预处理,并在适应值函数中考虑谱线的强度信息后,遗传算法能够应用于光谱图的解析。

关 键 词:定性分析 ICP-AES 遗传算法 电感耦合等离子体 原子发射光谱
文章编号:1000-0593(2002)03-0458-03
修稿时间:2000-12-26

A Genetic Algorithm Approach to Qualitative Analysis in Inductively Coupled Plasma-Atomic Emission Spectroscopy
PENG Bin,LIU Ke ling,LI Zhi min,WANG Yue song,and HUANG Tu jiang Institute of Chemical Metallurgy,Chinese Academy of Sciences,Beijing ,China. A Genetic Algorithm Approach to Qualitative Analysis in Inductively Coupled Plasma-Atomic Emission Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2002, 22(3): 458-460
Authors:PENG Bin  LIU Ke ling  LI Zhi min  WANG Yue song  and HUANG Tu jiang Institute of Chemical Metallurgy  Chinese Academy of Sciences  Beijing   China
Affiliation:Institute of Chemical Metallurgy, Chinese Academy of Sciences, Beijing 100080, China.
Abstract:Genetic algorithm (GA) is used in automatic qualitative analysis by a sequential inductively coupled plasma spectrometer (ICP AES) and a computer program is developed in this paper.No any standard samples are needed,and spectroscopic inteferences can be eliminated.All elements and their concentration ranges of an unknown sample can be reported.The replication rate P r ,crossover rate P c and mutation rate of the genetic algorithm were adjusted to be 0 6,0 4 and 0 respectively.The analytical results of GA are in good agreement with the reference values.It indicates that,combined with the intensity information,the GA can be applied to spectroscopic qualitative analysis and expected to become an effective method in qualitative analysis in ICP AES after further work.
Keywords:Qualitative analysis  ICP AES  Genetic algorithm
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