Novel Method Based on Hollow Laser Trapping-LIBS-Machine Learning for Simultaneous Quantitative Analysis of Multiple Metal Elements in a Single Microsized Particle in Air | |
Niu, Chen4; Cheng, Xuemei4; Zhang, Tianlong2; Wang, Xing3; He, Bo4; Zhang, Wending4; Feng, Yaozhou2; Bai, Jintao4; Li, Hua1,2 | |
刊名 | ANALYTICAL CHEMISTRY |
2021-02-02 | |
卷号 | 93期号:4页码:2281-2290 |
ISSN号 | 0003-2700 |
DOI | 10.1021/acs.analchem.0c04155 |
英文摘要 | Elemental identification of individual microsized aerosol particles is an important topic in air pollution studies. However, simultaneous and quantitative analysis of multiple constituents in a single aerosol particle with the noncontact in situ manner is still a challenging task. In this work, we explore the laser trapping-LIBS-machine learning to analyze four elements (Zn, Ni, Cu, and Cr) absorbed in a single micro-carbon black particle in air. By employing a hollow laser beam for trapping, the particle can be restricted in a range as small as similar to 1.72 mu m, which is much smaller than the focal diameter of the flat-topped LIBS exciting laser (similar to 20 mu m). Therefore, the particle can be entirely and homogeneously radiated, and the LIBS spectrum with a high signal-to-noise ratio (SNR) is correspondingly achieved. Then, two types of calibration models, i.e., the univariate method (calibration curve) and the multivariate calibration method (random forests (RF) regression), are employed for data processing. The results indicate that the RF calibration model shows a better prediction performance. The mean relative error (MRE), relative standard deviation (RSD), and root-mean-squared error (RMSE) are reduced from 0.1854, 363.7, and 434.7 to 0.0866, 179.8, and 216.2 ppm, respectively. Finally, simultaneous and quantitative determination of the four metal contents with high accuracy is realized based on the RF model. The method proposed in this work has the potential for online single aerosol particle analysis and further provides a theoretical basis and technical support for the precise prevention and control of composite air pollution. |
资助项目 | National Natural Science Foundation of China (NSFC)[61805200] ; National Natural Science Foundation of China (NSFC)[11874299] ; National Natural Science Foundation of China (NSFC)[22073074] ; National Natural Science Foundation of China (NSFC)[51927804] ; Natural Science Foundation of Shaanxi Province[2020JM-432] ; State Key Laboratory of Transient Optics and Photonics[SKLST201906] ; Innovation capability support plan of Shaanxi province[2018TD-018] |
WOS研究方向 | Chemistry |
语种 | 英语 |
出版者 | AMER CHEMICAL SOC |
WOS记录号 | WOS:000618089100050 |
资助机构 | National Natural Science Foundation of China (NSFC) ; Natural Science Foundation of Shaanxi Province ; State Key Laboratory of Transient Optics and Photonics ; Innovation capability support plan of Shaanxi province |
内容类型 | 期刊论文 |
源URL | [http://ir.opt.ac.cn/handle/181661/94560] |
专题 | 条纹相机工程中心 |
通讯作者 | Cheng, Xuemei; Zhang, Tianlong |
作者单位 | 1.Xian Shiyou Univ, Coll Chem & Chem Engn, Xian 710065, Peoples R China 2.Northwest Univ, Coll Chem & Mat Sci, Key Lab Synthet & Nat Funct Mol, Minist Educ, Xian 710127, Peoples R China 3.Chinese Acad Sci, State Key Lab Transient Opt & Photon, Xian 710119, Peoples R China 4.Northwest Univ, Int Collaborat Ctr Photoelect Technol & Nano Func, Inst Photon & Photon Technol, State Key Lab Photon Technol Western China Energy, Xian 710069, Peoples R China |
推荐引用方式 GB/T 7714 | Niu, Chen,Cheng, Xuemei,Zhang, Tianlong,et al. Novel Method Based on Hollow Laser Trapping-LIBS-Machine Learning for Simultaneous Quantitative Analysis of Multiple Metal Elements in a Single Microsized Particle in Air[J]. ANALYTICAL CHEMISTRY,2021,93(4):2281-2290. |
APA | Niu, Chen.,Cheng, Xuemei.,Zhang, Tianlong.,Wang, Xing.,He, Bo.,...&Li, Hua.(2021).Novel Method Based on Hollow Laser Trapping-LIBS-Machine Learning for Simultaneous Quantitative Analysis of Multiple Metal Elements in a Single Microsized Particle in Air.ANALYTICAL CHEMISTRY,93(4),2281-2290. |
MLA | Niu, Chen,et al."Novel Method Based on Hollow Laser Trapping-LIBS-Machine Learning for Simultaneous Quantitative Analysis of Multiple Metal Elements in a Single Microsized Particle in Air".ANALYTICAL CHEMISTRY 93.4(2021):2281-2290. |
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