摘要
Laser-induced breakdown spectroscopy （LIBS） has attracted much attention in terms of both scientific research and industrial application. An important branch of LIBS research in Asia, the development of data processing methods for LIBS, is reviewed. First, the basic principle of LIBS and the characteristics of spectral data are briefly introduced. Next, two aspects of research on and problems with data processing methods are described： i） the basic principles of data preprocessing methods are elaborated in detail on the basis of the characteristics of spectral data; ii） the performance of data analysis methods in qualitative and quantitative analysis of LIBS is described. Finally, a direction for future development of data processing methods for LIBS is also proposed.
Laser-induced breakdown spectroscopy （LIBS） has attracted much attention in terms of both scientific research and industrial application. An important branch of LIBS research in Asia, the development of data processing methods for LIBS, is reviewed. First, the basic principle of LIBS and the characteristics of spectral data are briefly introduced. Next, two aspects of research on and problems with data processing methods are described： i） the basic principles of data preprocessing methods are elaborated in detail on the basis of the characteristics of spectral data; ii） the performance of data analysis methods in qualitative and quantitative analysis of LIBS is described. Finally, a direction for future development of data processing methods for LIBS is also proposed.
基金
Acknowledgements The authors are grateful for the financial support from the National Special Fund for the Development of Major Research Equipment and Instruments （Grant No. 2011YQ160017）, the National Natural Science Foundation of China （Grant Nos. 61575073, 51429501, and 61378031）, the National Nature Science Foundation of Hubei Province （Grant No. 2015CFB298）, and the Fundamental Research Funds for the Central Universities （HUST： 2014QNRC024 and 2015MS002）.
作者简介
Corresponding author. E-mail： lbguo @mail. hust. edu. cn
