Journal ArticleDOI
Development in the application of laser-induced breakdown spectroscopy in recent years: A review
Lianbo Guo,Deng Zhang,Lanxiang Sun,Shunchun Yao,Lei Zhang,Zhenzhen Wang,Qian-Qian Wang,Hongbin Ding,Yuan Lu,Zongyu Hou,Zhe Wang +10 more
TLDR
Li et al. as mentioned in this paper summarized the research status and latest progress of main research groups in coal, metallurgy, and water, and suggested to further promote LIBS applications.Abstract:
Laser-induced breakdown spectroscopy (LIBS) has been widely studied due to its unique advantages such as remote sensing, real-time multi-elemental detection and none-to-little damage. With the efforts of researchers around the world, LIBS has been developed by leaps and bounds. Moreover, in recent years, more and more Chinese LIBS researchers have put tremendous energy in promoting LIBS applications. It is worth mentioning that the application of LIBS in a specific field has its special application background and technical difficulties, therefore it may develop in different stages. A review summarizing the current development status of LIBS in various fields would be helpful for the development of LIBS technology as well as its applications especially for Chinese LIBS community since most of the researchers in this field work in application. In the present work, we summarized the research status and latest progress of main research groups in coal, metallurgy, and water, etc. Based on the current research status, the challenges and opportunities of LIBS were evaluated, and suggestions were made to further promote LIBS applications.read more
Citations
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Journal ArticleDOI
Recent advances in laser-induced breakdown spectroscopy quantification: From fundamental understanding to data processing
TL;DR: Methods for raw signal improvement including sample preparation, system optimization, and especially plasma modulation, which modulates the laser-induced plasma evolution process for higher signal repeatability and signal-to-noise ratio, were reviewed and discussed.
Recent progress on the application of LIBS for metallurgical online analysis in China
Feng-Zhong,Dong,Xing-Long,Chen,Qi,Wang,Lan-Xiang,Sun,Hai-Bin,Yu,Yun-Xian,Liang,Jing-Ge,Zhi-Bo,Ni,Zhen-Hui,Du,Yi-Wen,Ma +18 more
TL;DR: Li et al. as mentioned in this paper reviewed the progress on the application of laser-induced breakdown spectroscopy (LIBS) for metallurgical analysis particularly achieved by Chinese research community and discussed the difficulties of LIBS application for molten metal analysis in a furnace.
Journal ArticleDOI
Industrial at-line analysis of coal properties using laser-induced breakdown spectroscopy combined with machine learning
Weiran Song,Zongyu Hou,Weilun Gu,Hui Wang,Jiacheng Cui,Zhenhua Zhou,Gangyao Yan,Qing Ye,Zhigang Li,Zhe Wang +9 more
TL;DR: A LIBS system for at-line coal analysis is developed, which can pre-treat coal blocks into pressed pellets, acquire sample spectra and quantify coal properties automatically and continuously, and a new machine learning method is proposed, namely synergic regression (SR), which embeds a linear model in nonlinear regression.
Journal ArticleDOI
Review of Element Analysis of Industrial Materials by In-Line Laser—Induced Breakdown Spectroscopy (LIBS)
Johannes D. Pedarnig,Stefan Trautner,Stefan Grünberger,Nikolaos Giannakaris,S. Eschlböck-Fuchs,Josef Hofstadler +5 more
TL;DR: In this article, the laser-induced breakdown spectroscopy (LIBS) is applied for fundamental investigations, e.g., the laser plasma matter interaction, for element, molecule, and isotope analysis, and for various technical applications, such as minimal destructive materials inspection, the monitoring of production processes, and remote analysis of materials in hostile environment.
Journal ArticleDOI
Identification of adulterated milk powder based on convolutional neural network and laser-induced breakdown spectroscopy
Weihua Huang,Lianbo Guo,Weiping Kou,Deng Zhang,Zhenlin Hu,Feng Chen,Yanwu Chu,Wen Bing Cheng +7 more
TL;DR: Li et al. as mentioned in this paper developed laser-induced breakdown spectroscopy (LIBS) technique for rapid and all-element analysis of milk powder, and the traditional machine learning methods and convolutional neural network (CNN) were adopted to realize the accurate identification of various adulterated milk powders.
References
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