Chemometrics in laser-induced breakdown spectroscopy

被引:80
|
作者
Zhang, Tianlong [1 ]
Tang, Hongsheng [1 ]
Li, Hua [1 ,2 ]
机构
[1] Northwest Univ, Inst Analyt Sci, Coll Chem & Mat Sci, Xian 710069, Shaanxi, Peoples R China
[2] Xian Shiyou Univ, Coll Chem & Chem Engn, Xian 710065, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
chemometrics; data preprocessing; laser-induced breakdown spectroscopy; qualitative analysis; quantitative analysis; PARTIAL LEAST-SQUARES; PRINCIPAL COMPONENT ANALYSIS; QUANTITATIVE-ANALYSIS METHOD; SUPPORT VECTOR MACHINES; DISCRIMINANT-ANALYSIS; ACCURACY IMPROVEMENT; ELEMENTAL ANALYSIS; NEURAL-NETWORK; SLAG SAMPLES; CLASSIFICATION;
D O I
10.1002/cem.2983
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Laser-induced breakdown spectroscopy (LIBS) is a new type of elemental analytical technology with the advantages of real-time, online, and noncontact as well as enabling the simultaneous analysis of multiple elements. It has become a frontier analytical technique in spectral analysis. However, the issue of how to improve the accuracy of qualitative and quantitative analyses by extracting useful information from a large amount of complex LIBS data remains the main problem for the LIBS technique. Chemometrics is a chemical subdiscipline of multi-interdisciplinary methods; it offers advantages in data processing, signal analysis, and pattern recognition. It can solve some complicated problems that are difficult for traditional chemical methods. In this paper, we reviewed the research progress of chemometrics methods in LIBS for spectral data preprocessing as well as for qualitative and quantitative analyses in the most recent 5 years (2012-2016).
引用
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页数:18
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