|
|
|
|
|
|
| The Research for Quantitative Analysis of Iron in Myanmar Jades Using Laser Induced Breakdown Spectroscopy |
| WANG Ya-jun1, YUAN Xin-qiang1, SHI Bin1*, SHI Mei-yu1, ZHANG Qian1, CHEN Tao1, 2 |
1. Gemological Institute of China University of Geosciences, Wuhan 430074, China
2. State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Wuhan 430074, China |
|
|
|
|
Abstract Using laser-induced breakdown spectroscopy (LIBS), quantitative analysis of iron(Fe)in Myanmar jades has been studied in this work. Ion’s LIBS spectrum at 275.57 nm was chosen for quantitative spectral analysis, and Silicon’s LIBS spectrum at 288.17 nm was selected as internal standard line. Twelve pieces of jade from Myanmar were selected as specimens. Nine of them were applied to construct the spectral calibration curves of iron with traditional method and internal standard method, and the content of iron in another three specimens selected as test samples was practically predicted. The experimental results show that the relative standard deviation of the intensity of iron is between 1.4% and 8.3%, while the fitting correlation (R2) of calibration curve is 0.979, and the maximum relative error of test samples is 10.6% when traditional method is used. While the internal standard method was used, the relative standard deviation of the intensity ratio of iron and silicon is between 0.9% and 5.7%, while the fitting correlation (R2) of calibration curve is 0.989, and the relative error of test samples reduces to under 7%. The analyzed results indicate that using LIBS coupled with internal standard method is much better to quantitatively analyze the content of iron in Myanmar jades compared with applying traditional method, as internal standard method can reduce the relative error of measurement.
|
|
Received: 2016-04-22
Accepted: 2016-12-11
|
|
|
|
Corresponding Authors:
SHI Bin
E-mail: 547652782@qq.com
|
|
[1] YUAN Xin-qiang(袁心强). Applied Gemology of Jadeite(应用翡翠宝石学). Wuhan: China University of Geosciences Press(武汉：中国地质大学出版社)，2009. 56.
[2] Lu Ren. Gems & Gemology, 2012, 48(4)：273.
[3] Su Wen, Ji Zhiping, Ye Kai. Earth and Planetary Science Letters, 2004, 222(1): 85.
[4] CHEN Xing-long, DONG Feng-zhong, TAO Guo-qiang(陈兴龙，董凤忠，陶国强). Chinese Journal of Laser(中国激光), 2013, 40(12): 314.
[5] Kuhn K，Meima J A，Rammlmair D，et al. Journal of Geochemical Exploration, 2015, 161: 72.
[6] Barefield J E, Judge E J, Campbell K R. Spectrochimica Acta Part B: Atomic Spectroscopy, 2016, 120(1): 1.
[7] Washburn K E. Organic Geochemistry, 2015, 83(3): 114.
[8] Yang Guang，Qiao Shujun，Chen Pengfei, et al. Plasma Science & Technology, 2015, 17(8): 656.
[9] Abedin M N, Bradley A T, Sharma S K. Applied Optics, 2015, 54(25): 7601.
[10] Gaddam C K，Wal R L V. International Journal of Coal Geology, 2015, 143(3): 14.
[11] Krzemnicki M S, Hanni H A, Walters R A. Gems & Gemology, et al, 2004, 40(4): 314.
[12] Yin Zuowei, Zhang Pengfei, Chen Quanli, et al. Gems & Gemology, 2013, 49(1): 16.
[13] CUI Zhi-feng, ZHANG Xian-yi, YAO Guan-xin, et al(崔执凤, 张先燚, 姚关心, 等). Acta Phys. Sin.(物理学报), 2006, 55(9): 4506.
[14] XIN Ren-xuan(辛仁轩). Plasma Emission Spectrum Analyze(等离子体发射光谱分析). Beijing: Chemical Industry Press(北京: 化学工业出版社)，2010. 123. |
| [1] |
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. |
| [2] |
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. |
| [3] |
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. |
| [4] |
BAO Hao1, 2，ZHANG Yan1, 2*. Research on Spectral Feature Band Selection Model Based on Improved Harris Hawk Optimization Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 148-157. |
| [5] |
LI Qi-chen1, 2, LI Min-zan1, 2*, YANG Wei2, 3, SUN Hong2, 3, ZHANG Yao1, 3. Quantitative Analysis of Water-Soluble Phosphorous Based on Raman
Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3871-3876. |
| [6] |
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. |
| [7] |
LIANG Jin-xing1, 2, 3, XIN Lei1, CHENG Jing-yao1, ZHOU Jing1, LUO Hang1, 3*. Adaptive Weighted Spectral Reconstruction Method Against
Exposure Variation[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3330-3338. |
| [8] |
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. |
| [9] |
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. |
| [10] |
MA Qian1, 2, YANG Wan-qi1, 2, LI Fu-sheng1, 2*, CHENG Hui-zhu1, 2, ZHAO Yan-chun1, 2. Research on Classification of Heavy Metal Pb in Honeysuckle Based on XRF and Transfer Learning[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2729-2733. |
| [11] |
HUANG Chao1, 2, ZHAO Yu-hong1, ZHANG Hong-ming2*, LÜ Bo2, 3, YIN Xiang-hui1, SHEN Yong-cai4, 5, FU Jia2, LI Jian-kang2, 6. Development and Test of On-Line Spectroscopic System Based on Thermostatic Control Using STM32 Single-Chip Microcomputer[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2734-2739. |
| [12] |
ZHENG Yi-xuan1, PAN Xiao-xuan2, GUO Hong1*, CHEN Kun-long1, LUO Ao-te-gen3. Application of Spectroscopic Techniques in Investigation of the Mural in Lam Rim Hall of Wudang Lamasery, China[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2849-2854. |
| [13] |
WANG Jun-jie1, YUAN Xi-ping2, 3, GAN Shu1, 2*, HU Lin1, ZHAO Hai-long1. Hyperspectral Identification Method of Typical Sedimentary Rocks in Lufeng Dinosaur Valley[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2855-2861. |
| [14] |
WANG Jing-yong1, XIE Sa-sa2, 3, GAI Jing-yao1*, WANG Zi-ting2, 3*. Hyperspectral Prediction Model of Chlorophyll Content in Sugarcane Leaves Under Stress of Mosaic[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2885-2893. |
| [15] |
LI Chang-ming1, CHEN An-min2*, GAO Xun3*, JIN Ming-xing2. Spatially Resolved Laser-Induced Plasma Spectroscopy Under Different Sample Temperatures[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2032-2036. |
|
|
|
|
