|
|
|
|
|
|
Multiple Discharges-Enhanced Laser-Induced Breakdown Spectroscopy |
ZHU Zhi-feng, LI Bo, GAO Qiang*, LI Zhong-shan |
State Key Laboratory of Engines, Tianjin University, Tianjin 300072, China |
|
|
Abstract Laser-induced breakdown spectroscopy (LIBS) is an elemental analysis technique widely used throughout science and engineering. A limitation of LIBS is the low analytical sensitivity for trace elements. Therefore, it is of great significance to enhance the signal intensity and reduce the detection limit of LIBS. To enhance LIBS signals, here we propose a method, multiple discharges-enhanced LIBS. The measurements were performed on a solid aluminum alloy. A nanosecond laser was focused on the alloy to generate plasma. The plasma was sputtered into the air between the two discharge electrodes, which triggered the discharge. Multiple discharges were generated by using a high-frequency discharge power source. The multiple discharges excite, heat the plasma and extend the plasma duration, thereby enhancing the signal intensity. Here, a direct current pulse power source with a frequency of 100 kHz was used, and five discharges occurred after each laser-induced breakdown. We show that compared with LIBS, the plasma duration is extended by approximately 50 μs. Multiple discharges-enhanced LIBS increases the signal intensity of Mg Ⅱ (at ~279 nm) by about 48 times; Al Ⅱ (at ~358 nm), 72 times; trace element Mn Ⅰ (at ~403 nm), 6.3 times; trace element Cu Ⅰ (at ~403 nm), 8.3 times. The detection limit of Mn Ⅰ (at ~403 nm) is reduced by a factor of 6; Cu, 8. Multiple discharges-enhanced LIBS dramatically enhances the signal intensity and improves the detection limit of LIBS, and it expands the applications of LIBS. This method has the potential to be applied to the identifications of valuables, rare materials and cultural relics.
|
Received: 2020-08-07
Accepted: 2020-12-23
|
|
Corresponding Authors:
GAO Qiang
E-mail: qiang.gao@tju.edu.cn
|
|
[1] Hsu P S, Gragston M, Patnaik A K, et al. Applied Spectroscopy, 2019, 74(3): 340.
[2] Hahn D W, Omenetto N. Applied Spectroscopy, 2012, 66(4): 347.
[3] Chu Y, Zhang Z, He Q, et al. Journal of Advanced Research, 2020, 24: 353.
[4] Aldakheel R K, Gondal M A, Nasr M M, et al. Talanta, 2020, 217: 121062.
[5] CAI Ting-ni, LI Chun-lai, REN Xin, et al(蔡婷妮, 李春来, 任 鑫, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2019, 39(5): 1623.
[6] Anabitarte F, Cobo A, Lopez-Higuera J M. ISRN Spectroscopy, 2012, 2012: 285240.
[7] Wang Y, Jiang Y, He X, et al. Spectrochimica Acta Part B: Atomic Spectroscopy, 2018, 150: 9.
[8] Hou Z, Wang Z, Liu J, et al. Optics Express, 2014, 22(11): 12909.
[9] Guo L B, Hu W, Zhang B Y, et al. Optics Express, 2011, 19(15): 14067.
[10] Li Y, Tian D, Ding Y, et al. Applied Spectroscopy Reviews, 2018, 53(1): 1.
[11] Rashid B, Ahmed R, Ali R, et al. Physics of Plasmas, 2011, 18(7): 073301.
[12] Sobral H, Robledo-Martinez A. Spectrochimica Acta Part B: Atomic Spectroscopy, 2016, 124: 67.
[13] Hassanimatin M, Tavassoli S. Physics of Plasmas, 2018, 25(5): 053302.
[14] Robledo-Martinez A, Sobral H, Garcia-Villarreal A. Spectrochimica Acta Part B: Atomic Spectroscopy, 2018, 144: 7.
[15] He X, Li R, Wang F. Plasma Science and Technology, 2018, 21(3): 034005. |
[1] |
ZHENG Hong-quan, DAI Jing-min*. Research Development of the Application of Photoacoustic Spectroscopy in Measurement of Trace Gas Concentration[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 1-14. |
[2] |
CHENG Jia-wei1, 2,LIU Xin-xing1, 2*,ZHANG Juan1, 2. Application of Infrared Spectroscopy in Exploration of Mineral Deposits: A Review[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 15-21. |
[3] |
FAN Ping-ping,LI Xue-ying,QIU Hui-min,HOU Guang-li,LIU Yan*. Spectral Analysis of Organic Carbon in Sediments of the Yellow Sea and Bohai Sea by Different Spectrometers[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 52-55. |
[4] |
LI Jie, ZHOU Qu*, JIA Lu-fen, CUI Xiao-sen. Comparative Study on Detection Methods of Furfural in Transformer Oil Based on IR and Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 125-133. |
[5] |
BAI Xi-lin1, 2, PENG Yue1, 2, ZHANG Xue-dong1, 2, GE Jing1, 2*. Ultrafast Dynamics of CdSe/ZnS Quantum Dots and Quantum
Dot-Acceptor Molecular Complexes[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 56-61. |
[6] |
XU Tian1, 2, LI Jing1, 2, LIU Zhen-hua1, 2*. Remote Sensing Inversion of Soil Manganese in Nanchuan District, Chongqing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 69-75. |
[7] |
WANG Fang-yuan1, 2, HAN Sen1, 2, YE Song1, 2, YIN Shan1, 2, LI Shu1, 2, WANG Xin-qiang1, 2*. A DFT Method to Study the Structure and Raman Spectra of Lignin
Monomer and Dimer[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 76-81. |
[8] |
LIU Zhen1*, LIU Li2*, FAN Shuo2, ZHAO An-ran2, LIU Si-lu2. Training Sample Selection for Spectral Reconstruction Based on Improved K-Means Clustering[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 29-35. |
[9] |
YANG Chao-pu1, 2, FANG Wen-qing3*, WU Qing-feng3, LI Chun1, LI Xiao-long1. Study on Changes of Blue Light Hazard and Circadian Effect of AMOLED With Age Based on Spectral Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 36-43. |
[10] |
GAO Feng1, 2, XING Ya-ge3, 4, LUO Hua-ping1, 2, ZHANG Yuan-hua3, 4, GUO Ling3, 4*. Nondestructive Identification of Apricot Varieties Based on Visible/Near Infrared Spectroscopy and Chemometrics Methods[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 44-51. |
[11] |
ZHENG Pei-chao, YIN Yi-tong, WANG Jin-mei*, ZHOU Chun-yan, ZHANG Li, ZENG Jin-rui, LÜ Qiang. Study on the Method of Detecting Phosphate Ions in Water Based on
Ultraviolet Absorption Spectrum Combined With SPA-ELM Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 82-87. |
[12] |
XU Qiu-yi1, 3, 4, ZHU Wen-yue3, 4, CHEN Jie2, 3, 4, LIU Qiang3, 4 *, ZHENG Jian-jie3, 4, YANG Tao2, 3, 4, YANG Teng-fei2, 3, 4. Calibration Method of Aerosol Absorption Coefficient Based on
Photoacoustic Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 88-94. |
[13] |
LI Xin-ting, ZHANG Feng, FENG Jie*. Convolutional Neural Network Combined With Improved Spectral
Processing Method for Potato Disease Detection[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 215-224. |
[14] |
XING Hai-bo1, ZHENG Bo-wen1, LI Xin-yue1, HUANG Bo-tao2, XIANG Xiao2, HU Xiao-jun1*. Colorimetric and SERS Dual-Channel Sensing Detection of Pyrene in
Water[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 95-102. |
[15] |
LEI Hong-jun1, YANG Guang1, PAN Hong-wei1*, WANG Yi-fei1, YI Jun2, WANG Ke-ke2, WANG Guo-hao2, TONG Wen-bin1, SHI Li-li1. Influence of Hydrochemical Ions on Three-Dimensional Fluorescence
Spectrum of Dissolved Organic Matter in the Water Environment
and the Proposed Classification Pretreatment Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 134-140. |
|
|
|
|