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Study on the Spectral Identification Characteristics of “Heiqing” and “Heibi” |
DAI Lu-lu1, JIANG Yan1, YANG Ming-xing1, 2* |
1. Gemmological Institue, China University of Geosciences, Wuhan 430074, China
2. Gem Testing Center, China University of Geosciences, Wuhan 430074, China |
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Abstract “Heiqing” refers to dolomite-related nephrite with the color of the nearly black whose main component is tremolite. “Heibi” refers to serpentinite-related nephrite with the color of the nearly black whose main component is actinolite. EPMA, LA-ICP-MS and FTIR spectrum were applied to obtain the mineral species of “Heiqing” and “Heibi”. Raman spectrum, Micro-UV-Visible spectrophotometer and FTIR spectrum were used to investigate the spectral identification characteristics of “Heiqing” and “Heibi”. “Heiqing” have the standard tremolite peak position, and main peak positions of “Heibi” have several wavenumber deviations, which move in the direction of small wavenumber. In visible-near infrared band “Heiqing” appear 445 nm absorption peak and 680, 940nm wide absorption band, which were attributed to the role of Fe2+ and Fe3+; “Heibi” appears 445 nm absorption peak, 660, 690 nm double absorption peak and 970 nm , which were attributed to the role of Fe2+ and Fe3+, Cr3+. The near-infrared region of the samples can be analyzed by Micro-UV-Visible spectrophotometer. The strong absorption peaks of “Heiqing” appear at 1 397, 2 310, 2 387 and 2 466 nm, and the weak absorption peaks appear 1 915 and 2 120 nm; The absorption peaks of “Heibi” appear at 1 400, 2313 and 2 394 nm. The results of FTIR spectrum indicates that the absorption peaks of “Heiqing” were at 5 225, 4 738, 4 692, 4 349, 4 317, 4 190, 4 064 cm-1and the absorption peaks of “Heibi” were at 4 708, 4 307, 4 178 and 4 031 cm-1. Although there aresome small differences between the results of Microscopic UV-Visible spectrum and FTTR spectrum analysis, the results are basically consistent, the results of FTIR spectrum analysis shall prevail. By comparing “Heiqing”, “Heibi” and actinolite jade of Dahua, the near-infrared spectrum identification characteristics of “Heiqing”(tremolite) and “Heibi”(actinolite) are “Heiqing”(Tremolite) have two absorption peaks at 4 800~4 600 cm-1, and split double absorption peaks at 4 350~4 300 cm-1. “Heibi”(actinolite) have a weak absorption peak at 4 800~4 600 cm-1, and a single absorption peak at 4 350~4 300 cm-1. Moreover, the whole near-infrared absorption peaks of “Heibi” (actinolite) moves in the direction of smaller wavenumber than “Heiqing” (Tremolite).
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Received: 2019-11-25
Accepted: 2020-04-22
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Corresponding Authors:
YANG Ming-xing
E-mail: yangc@cug.edu.cn
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[1] REN Jian-hong, SHI Guang-hai, ZHANG Jin-hong(任建红, 施光海, 张锦洪, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2019, 39(3): 772.
[2] Zhong Q, Liao Z T, Qi L J. Gems & Gemology, 2019, 55(2): 198.
[3] Chen L, Liu Y S, Hu Z C, et al. Chemical Geology, 2011, 284(3): 283.
[4] Liu Y S, Hu Z C, Gao S, et al. Chemical Geology, 2018, 257(1): 34.
[5] Leake B E. The Canadian Mineralogist, 1978, 16(5): 501.
[6] Siqin B, Qian R, Zhou S J, et al. Journal of Mass Spectrometry, 2012,309: 206.
[7] Liu Y, Deng J, Shi G H, et al. Ore Geology Reviews, 2011,41: 122.
[8] Burns R G, Strens R G J. Science, 1966, 153(3738): 890.
[9] ZOU Tian-ren, CHEN Ke-qiao(邹天人, 陈克樵). Acta Petrologica et Mineralogica(岩石矿物学杂志), 2002, 21(Suppl.1): 41.
[10] LI Kun,SHEN Xiao-ping(李 坤, 申晓萍). Bulletin of Mineralogy, Petrology and Geochemistry(矿物岩石地球化学通报), 2019, 38(2): 406.
[11] Sherman D V. Am. Mineral.,1985, 70: 584.
[12] Halenius J, Skogby H, Andreozzi G B. Phys. Chem. Minerals, 2002, 29: 319.
[13] Taran M N, Langer K. Phys. Chem. Miner., 2001, 28: 199.
[14] Lehman G, Harder H. Am. Mineral.,1970, 55: 98.
[15] Anbalagan G, Murugesan S K, Balakrishnan M, et al. Applied Clay Science, 2008, 42: 175.
[16] LIN Chuan-yi, XIE Hong-sen, ZHU He-bao, et al(林传易, 谢鸿森, 朱和宝, 等). Acta Mineralogica Sinica(矿物学报), 1998, 8(3): 193.
[17] Ram Kripal, Pragya Singh, Santwana Shukla. Physica,2011, B406: 324.
[18] YAN Shou-xun, ZHANG Bing, ZHANG Yong-chao, et al(燕守勋, 张 兵, 赵永超, 等). Remote Sensing Technology and Application(遥感技术与应用), 2003, 18(4): 192.
[19] BAI Li-xin(白立新). Ningxia Engineering Technology(宁夏工程技术), 2007, 6(4): 334.
[20] PENG Wen-shi, LIU Gao-kui(彭文世, 刘高魁). Infrared Spectra of Minerals(矿物红外光谱图集). Beijing: Science Press(北京: 科学出版社), 1982, 364. |
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