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A genetic algorithm approach to qualitative analysis in inductively coupled plasma-atomic emission spectroscopy
Alternative TitleSpectrosc. Spectr. Anal.
Peng, B; Liu, KL; Li, ZM; Wang, YS; Huang, TJ
2002-06-01
Source PublicationSPECTROSCOPY AND SPECTRAL ANALYSIS
ISSN1000-0593
Volume22Issue:3Pages:458-460
AbstractGenetic 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 interferences can be eliminated. All elements and their concentration ranges of an unknown sample can be reported. The replication rate P, crossover rate P, 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.; 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 interferences can be eliminated. All elements and their concentration ranges of an unknown sample can be reported. The replication rate P, crossover rate P, 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.
KeywordQualitative Analysis Icp-aes Genetic Algorithm
SubtypeArticle
WOS HeadingsScience & Technology ; Technology
URL查看原文
Indexed BySCI
Language英语
WOS Research AreaSpectroscopy
WOS SubjectSpectroscopy
WOS IDWOS:000176675600034
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Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Version出版稿
Identifierhttp://ir.ipe.ac.cn/handle/122111/5637
Collection研究所(批量导入)
AffiliationChinese Acad Sci, Inst Chem Met, Beijing 100080, Peoples R China
Recommended Citation
GB/T 7714
Peng, B,Liu, KL,Li, ZM,et al. A genetic algorithm approach to qualitative analysis in inductively coupled plasma-atomic emission spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS,2002,22(3):458-460.
APA Peng, B,Liu, KL,Li, ZM,Wang, YS,&Huang, TJ.(2002).A genetic algorithm approach to qualitative analysis in inductively coupled plasma-atomic emission spectroscopy.SPECTROSCOPY AND SPECTRAL ANALYSIS,22(3),458-460.
MLA Peng, B,et al."A genetic algorithm approach to qualitative analysis in inductively coupled plasma-atomic emission spectroscopy".SPECTROSCOPY AND SPECTRAL ANALYSIS 22.3(2002):458-460.
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应用遗传算法的扫描式ICP_AES光谱定(121KB) 限制开放CC BY-NC-SAApplication Full Text
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