Plasma characteristics and quantitative analysis of Pb and Ni in soil based on LIBS technology

被引:3
|
作者
Li Hong-lian [1 ,2 ]
Wang Hong-bao [1 ,2 ]
Huang Yi-chen [3 ]
Kang Sha-sha [1 ,2 ]
Fu Shi-jie [4 ]
Li Hao-ran [1 ]
Fang Li-de [1 ,2 ]
Li Xiao-ting [1 ,2 ]
机构
[1] Hebei Univ, Coll Qual & Technol Supervising, Baoding 071000, Peoples R China
[2] Natl & Local Joint Engn Ctr Measuring Instruments, Baoding 071000, Peoples R China
[3] Hebei Univ, Coll Chem & Environm Sci, Baoding 071000, Peoples R China
[4] Univ Arizona, Coll Opt Sci, Tucson, AZ 85721 USA
关键词
INDUCED BREAKDOWN SPECTROSCOPY; CU;
D O I
10.1007/s11801-020-9189-8
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
When measured by laser induced breakdown spectroscopy, the characteristic parameters of the plasma fluctuate significantly with the experimental parameters, which would have a greater impact on the quantitative measurement. The effects of two experimental parameters, lens to sample distance (LTSD) and delay time, on plasma temperature and electron density were analyzed. Thereafter the optimal LTSD and delay time for quantitative analysis of Pb and Ni in soil were identified. Two element calibration curves were calculated by the internal standard method under the optimal LTSD and delay time. About the two elements, correlation coefficient of the calibration curves is above 0.993. The maximum relative standard deviation (RSD) were 4.47% and 4.76%, respectively, and the maximum relative errors were 12% and 4.8%, respectively. The experimental results showed that laser induced breakdown spectroscopy method in combination with plasma characteristic parameter analysis shows the advantage on quantitative analysis of heavy metals in soil.
引用
收藏
页码:143 / 148
页数:6
相关论文
共 50 条
  • [41] Critical review and advices on spectral-based normalization methods for LIBS quantitative analysis
    Guezenoc, Julian
    Gallet-Budynek, Anne
    Bousquet, Bruno
    SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY, 2019, 160
  • [42] Quantitative analysis of the main components in ceramic raw materials based on the desktop LIBS analyzer
    张鹏
    孙兰香
    于海斌
    曾鹏
    Plasma Science and Technology, 2022, (08) : 57 - 65
  • [43] Quantitative Analysis of Heavy Metals in Water Based on LIBS with an Automatic Device for Sample Preparation
    Hu Li
    Zhao Nanjing
    Liu Wenqing
    Meng Deshuo
    Fang Li
    Wang Yin
    Yu Yang
    Ma Mingjun
    PLASMA SCIENCE & TECHNOLOGY, 2015, 17 (08) : 699 - 703
  • [44] Quantitative Analysis of Heavy Metals in Water with LIBS Based on Signal-to-Background Ratio
    Hu Li
    Zhao Nan-jing
    Liu Wen-qing
    Fang Li
    Zhang Da-hai
    Wang Yin
    Meng De-shuo
    Yu Yang
    Ma Ming-jun
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2015, 35 (07) : 2017 - 2020
  • [45] Full-spectrum LIBS quantitative analysis based on heterogeneous ensemble learning model
    Fang, Xinyue
    Yu, Haoyang
    Huang, Qian
    Jiang, Zhaohui
    Pan, Dong
    Gui, Weihua
    CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2025, 257
  • [46] Matrix Effect and Quantitative Analysis of Iron Filings with Different Particle Size Based on LIBS
    Gong Ting-ting
    Tian Ye
    Chen Qian
    Xue Bo-yang
    Huang Fu-zhen
    Wang Lin-tao
    Li Ying
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40 (04) : 1207 - 1213
  • [47] Quantitative Analysis of Heavy Metals in Water Based on LIBS with an Automatic Device for Sample Preparation
    胡丽
    赵南京
    刘文清
    孟德硕
    方丽
    王寅
    余洋
    马明俊
    Plasma Science and Technology, 2015, 17 (08) : 699 - 703
  • [48] Quantitative analysis of the main components in ceramic raw materials based on the desktop LIBS analyzer
    张鹏
    孙兰香
    于海斌
    曾鹏
    Plasma Science and Technology, 2022, 24 (08) : 57 - 65
  • [49] Quantitative analysis of the main components in ceramic raw materials based on the desktop LIBS analyzer
    Zhang, Peng
    Sun, Lanxiang
    Yu, Haibin
    Zeng, Peng
    PLASMA SCIENCE & TECHNOLOGY, 2022, 24 (08)
  • [50] An LIBS quantitative analysis method for alloy steel at high temperature based on transfer learning
    Yang, Jianhong
    Li, Xiaomeng
    Lu, Huili
    Xu, Jinwu
    Li, Haixia
    JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY, 2018, 33 (07) : 1184 - 1195