| 光谱学与光谱分析 |
|
|
|
|
|
| Mapping Applications in Laser-Induced Breakdown Spectroscopy |
| CHEN Qi-meng, DU Min, HAO Zhong-qi, ZOU Xiao-heng, LI Jia-ming, YI Rong-xing, LI Xiang-you*, LU Yong-feng, ZENG Xiao-yan |
| Wuhan National Laboratory for Optoelectronics, Laser and Terahertz Technology Division, Huazhong University of Science and Technology, Wuhan 430074, China |
|
|
|
|
Abstract LIBS mapping was used to analyze and detect the elemental distribution of iron ore surface with self-developed software and 532 nm Nd∶YAG laser. Firstly, in order to illustrate the relationship between element content and spectral intensity, the calibration curve was established by scanning the surface of standard sample. Then, a self-made sample was homogeneously divided into three parts that was pressed by three different standard iron ore powders. For the purpose of validating the mapping technology, a two-dimensional concentration distribution profile was generated after scanning the sample surface which was compared with surface morphology phase of the sample. Finally, with the resolution of 100 microns, the surface scanning analysis of the natural iron ore within the scope of 14 mm×11 mm was implemented. With this basis, the distribution profile of the elements Ca, Al, Ti and Mn were obtained, and the analysis results were compared with the surface morphology phase of the natural iron ore. The results showed that LIBS mapping technology could be used to achieve the qualitative analysis of component gradient distribution of the heterogeneous sample surface.
|
|
Received: 2014-12-31
Accepted: 2015-04-02
|
|
|
|
Corresponding Authors:
LI Xiang-you
E-mail: xyli@mail.hust.edu.cn
|
|
[1] Pion V, Mateo M P, Nicolas G. Applied Spectroscopy Reviews, 2013, 48(5): 357.
[2] Zou X H, Guo L B, Shen M, et al. Optics Express, 2014, 22(9): 10233.
[3] Hao Z Q, Guo L B, Li C M, et al. Journal of Analytical Atomic Spectrometry, 2014, 29(12): 2309.
[4] Lopez-Quintas I, Mateo M P, Pion V, et al. Spectrochimica Acta Part B: Atomic Spectroscopy, 2012, 74: 109.
[5] ZHANG Yong, JIA Yun-hai, CHEN Ji-wen, et al(张 勇，贾云海，陈吉文，等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2013, 33(12): 3383.
[6] Noll R, Bette H, Brysch A, et al. Spectrochimica Acta Part B: Atomic Spectroscopy, 2001, 56(6): 637.
[7] Lanza N L, Wiens R C, Clegg S M, et al. Applied Optics, 2010, 49(13): C211.
[8] Anderson R B, Morris R V, Clegg S M, et al. Icarus, 2011, 215(2): 608.
[9] Rai N K, Rai A K. Journal of Hazardous Materials, 2008, 150(3): 835.
[10] Motto-Ros V, Sancey L, Ma Q L, et al. Applied Physics Letters, 2012, 101(22): 223702.
[11] Ma Q L, Motto-Ros V, Lei W Q, et al. Spectrochimica Acta Part B: Atomic Spectroscopy, 2010, 65(8): 707.
[12] Kaiser J, Galiová M, Novotny K, et al. Spectrochimica Acta Part B: Atomic Spectroscopy, 2009, 64(1): 67.
[13] Boué-Bigne F. Spectrochimica Acta Part B: Atomic Spectroscopy, 2008, 63(10): 1122.
[14] Menut D, Fichet P, Lacour J L, et al. Applied Optics, 2003, 42(30): 6063.
[15] Yoon Y Y, Kim T S, Chung K S, et al. Analyst, 1997, 122(11): 1223. |
| [1] |
LIU Jia1, 2, GUO Fei-fei2, YU Lei2, CUI Fei-peng2, ZHAO Ying2, HAN Bing2, SHEN Xue-jing1, 2, WANG Hai-zhou1, 2*. Quantitative Characterization of Components in Neodymium Iron Boron Permanent Magnets by Laser Induced Breakdown Spectroscopy （LIBS）[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 141-147. |
| [2] |
WANG Cai-ling1，ZHANG Jing1，WANG Hong-wei2*, SONG Xiao-nan1, JI Tong3. A Hyperspectral Image Classification Model Based on Band Clustering and Multi-Scale Structure Feature Fusion[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 258-265. |
| [3] |
HU Cai-ping1, HE Cheng-yu2, KONG Li-wei3, ZHU You-you3*, WU Bin4, ZHOU Hao-xiang3, SUN Jun2. Identification of Tea Based on Near-Infrared Spectra and Fuzzy Linear Discriminant QR Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3802-3805. |
| [4] |
YANG Wen-feng1, LIN De-hui1, CAO Yu2, QIAN Zi-ran1, LI Shao-long1, ZHU De-hua2, LI Guo1, ZHANG Sai1. Study on LIBS Online Monitoring of Aircraft Skin Laser Layered Paint Removal Based on PCA-SVM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3891-3898. |
| [5] |
LUO Li, WANG Jing-yi, XU Zhao-jun, NA Bin*. Geographic Origin Discrimination of Wood Using NIR Spectroscopy
Combined With Machine Learning Techniques[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3372-3379. |
| [6] |
FANG Zheng, WANG Han-bo. Measurement of Plastic Film Thickness Based on X-Ray Absorption
Spectrometry[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3461-3468. |
| [7] |
HUANG Zhao-di1, CHEN Zai-liang2, WANG Chen3, TIAN Peng2, ZHANG Hai-liang2, XIE Chao-yong2*, LIU Xue-mei4*. Comparing Different Multivariate Calibration Methods Analyses for Measurement of Soil Properties Using Visible and Short Wave-Near
Infrared Spectroscopy Combined With Machine Learning Algorithms[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3535-3540. |
| [8] |
JIA Zong-chao1, WANG Zi-jian1, LI Xue-ying1, 2*, QIU Hui-min1, HOU Guang-li1, FAN Ping-ping1*. Marine Sediment Particle Size Classification Based on the Fusion of
Principal Component Analysis and Continuous Projection Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3075-3080. |
| [9] |
CHEN Jia-wei1, 2, ZHOU De-qiang1, 2*, CUI Chen-hao3, REN Zhi-jun1, ZUO Wen-juan1. Prediction Model of Farinograph Characteristics of Wheat Flour Based on Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3089-3097. |
| [10] |
XUE Fang-jia, YU Jie*, YIN Hang, XIA Qi-yu, SHI Jie-gen, HOU Di-bo, HUANG Ping-jie, ZHANG Guang-xin. A Time Series Double Threshold Method for Pollution Events Detection in Drinking Water Using Three-Dimensional Fluorescence Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3081-3088. |
| [11] |
SUN Cheng-yu1, JIAO Long1*, YAN Na-ying1, YAN Chun-hua1, QU Le2, ZHANG Sheng-rui3, MA Ling1. Identification of Salvia Miltiorrhiza From Different Origins by Laser
Induced Breakdown Spectroscopy Combined with Artificial Neural
Network[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3098-3104. |
| [12] |
LIU Shu1, JIN Yue1, 2, SU Piao1, 2, MIN Hong1, AN Ya-rui2, WU Xiao-hong1*. Determination of Calcium, Magnesium, Aluminium and Silicon Content in Iron Ore Using Laser-Induced Breakdown Spectroscopy Assisted by Variable Importance-Back Propagation Artificial Neural Networks[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3132-3142. |
| [13] |
JIA Hao1, 3, 4, ZHANG Wei-fang1, 3, LEI Jing-wei1, 3*, LI Ying-ying1, 3, YANG Chun-jing2, 3*, XIE Cai-xia1, 3, GONG Hai-yan1, 3, DING Xin-yu1, YAO Tian-yi1. Study on Infrared Fingerprint of the Classical Famous
Prescription Yiguanjian[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3202-3210. |
| [14] |
CAO Qian, MA Xiang-cai, BAI Chun-yan, SU Na, CUI Qing-bin. Research on Multispectral Dimension Reduction Method Based on Weight Function Composed of Spectral Color Difference[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2679-2686. |
| [15] |
ZHANG Zi-hao1, GUO Fei3, 4, WU Kun-ze1, YANG Xin-yu2, XU Zhen1*. Performance Evaluation of the Deep Forest 2021 (DF21) Model in
Retrieving Soil Cadmium Concentration Using Hyperspectral Data[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2638-2643. |
|
|
|
|
