光谱学与光谱分析 |
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Vibrational Spectra of Hetian Nephrite from Xinjiang |
ZHANG Yong-wang1,2, LIU Yan3, LIU Tao-tao1, Muhetaer Zari2, LIU Yuan-qing1 |
1. State Key Laboratory for Petroleum Resource and Prospecting, Basin & Reservoir Research Center, Chinese University of Petroleum, Beijing 102249, China 2. College of Geological Exploration and Engineering, Xinjiang University, Urumqi 830046, China 3. Institute of Geology, Chinese Academy of Geological Sciences, Beijing 100037, China |
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Abstract In previous studies, EMPA, PIXE and others were employed to study the chemical compositions of nephrite separately without a systematical measurement. In the present study, XRF, XRD, IR and LR were used together to examine chemical and spectra characteristics of white, green and black nephrite from Hetian, Xinjiang. XRD results indicate that all nephrite samples consist of tremolite. Then IR spectra of nephrite samples suggest that the M—OH stretching vibration bands show that the M1 and M3 sites are not only occupied by Mg2+ and Fe2+, but also by Fe3+, which is consistent with the chemical compositions of these samples. This information might be useful to understanding the variety of nephrite. Their Raman spectra are almost the same, while some differences exist because of different content of FeO/Fe2O3.
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Received: 2011-04-18
Accepted: 2011-08-06
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Corresponding Authors:
ZHANG Yong-wang
E-mail: zyw75@126.com
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[1] Liu Yan, Deng Jun, Shi Guang-hai, et al. Resource Geology, 2010, 60(3): 249. [2] Bragg L, Claringbull G F. Crystal Structures of Minerals. London,1967. [3] WANG Pu, PAN Zhao-lu, WENG Ling-bao(王 濮,潘兆撸,翁玲宝). Systematic Mineralogy (2nd ed.)(系统矿物学·中册). Beijing:Geological Publishing House(北京: 地质出版社), 1984. 330. [4] Sax M, Meeks N D, Michaelson C, et al. Journal of Archaeological Science, 2004, 31(10): 1413. [5] Chen T H, Calligaro T, Pages-Camagna S, et al. Applied Physcis A-Materials Science & Processing, 2004, 79(2): 177. [6] GUO Li-he, HAN Jing-yi(郭立鹤, 韩景仪). Acta Petrologica et Mineralogica(岩石矿物学杂志), 2002, 21: 68. [7] ZOU Tian-ren, GUO Li-he, LI Wei-hua, et al(邹天人, 郭立鹤, 李维华, 等). Acta Petrologica et Mineralogica(岩石矿物学杂志), 2002, 21: 72. [8] Wilkins C J, Tennant W C, Williamson B E, et al. American Mineralogist, 2003, 88(8-9): 1336. [9] CUI Wen-yuan, YANG Fu-xu(崔文元, 杨富绪). Acta Petrologica et Mineralogica(岩石矿物学杂志), 2002, 21: 26. [10] CHEN Ke-qiao, CHEN Zhen-yu(陈克樵, 陈振宇). Acta Petrologica et Mineralogica(岩石矿物学杂志), 2002, 21: 34.
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