| 光谱学与光谱分析 |
|
|
|
|
|
| Spectra and Mineralogy Study on Black Tianhuang and Kengtou Stone from Shoushan, Fujian Province |
| CHEN Tao1, LIU Yun-gui2, WU Di1, XU Wen-jing1 |
1. Gemmological Institute, China University of Geosciences, Wuhan 430074, China
2. College of Gemstone and Materical Technology, Shijiazhuang University of Economics, Shijiazhuang 050031, China |
|
|
|
|
Abstract Shoushan Stone is one of the national stones of our country which is also the most famous stone of the four outstanding seal stones in China. As to Shoushan stones, black Tianhuang stone is a kind of black colored stone. It is one of the most special species in Tianhuang stones which comes from fields beside the Shoushan Brook. The black Kengtou stone comes from Kengtou Zhan, its original place. In this study, black Tianhuang stone is studied and compared with black Kengtou stone by using X-ray powder diffraction spectrometer (XRD), infrared spectrometer (IR), laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS), and scanning electron microscopy (SEM) in order to analyze the mineral composition, characteristic of infrared spectra, color genesis, and characteristic of micro- morphology of these stones. The results of the study indicate that the mineral compositions are different between these stones. The analysis of IR and XRD studies indicate that the black Kengtou stone is mainly composed of dickite. On the other hand, XRD analysis indicates that it can contain a small amount of pyrophyllite, illite, pyrite, and quartz. However, the analysis of IR and XRD studies indicate that black Tianhuang stone is mainly composed of dickite or nacrite. On the other hand, XRD analysis indicates that the minor mineral composition in the black Kengtou stone can be svanbergite and tochilinite. Their characteristics of micro-morphology of black Tianhuang stone and black Kengtou stone are also different. The crystal size of dickite in black Tianhuang stone is inconformity, and the margin of lamellae crystals is smoothed. It indicates that such kind of stone had undergone corrosion effect due to water-rock reaction. On the other hand, the black Kengtou stone are well crystalized. The lamellae has sharp margin, and the size of the lamellae is relatively uniform. It indicates that the black Kengtou stone is original ore. According to the trace chemical composition analysis of LA-ICP-MS, it preliminary suggests that black color of both black Tianhuang and Kengtou stones have relationship with Fe element. The final conclusion of color genesis needs more experiments to prove.
|
|
Received: 2015-10-21
Accepted: 2016-02-24
|
|
|
|
Corresponding Authors:
CHEN Tao
E-mail: summerjewelry@163.com
|
|
[1] CHEN Tao, LIU Yun-gui, YAO Chun-mao(陈 涛，刘云贵，姚春茂). Journal of Gems and Gemmology(宝石和宝石学杂志)，2013, 15: 18.
[2] CHEN Tao, YAO Chun-mao, QI Li-jian，et al(陈 涛，姚春茂，亓利剑，等). Journal of Gems and Gemmology(宝石和宝石学杂志)，2009，11: 1.
[3] LIU Yun-gui, CHEN Tao, HAN Wen，et al(刘云贵，陈 涛，韩 文，等). Acta Petrologica et Mineralogica(岩石矿物学杂志)，2013, 32: 549.
[4] CHEN Tao(陈 涛). The Study on Microstructure Characteristic of Illite(伊利石的微结构特征研究). Beijing：Science Press(北京：科学出本社)，2012. 25.
[5] REN Lei-fu(任磊夫). Clay Mineral and Clay Rock(粘土矿物与粘土岩). Beijing: Geology Press(北京：地质出版社)，1992. 76.
[6] WEN Luo(闻 辂). Infrared Spectra of Minerals(矿物红外光谱学). Chongqing: Chongqing Press(重庆：重庆出版社)，1989. 89.
[7] Balan E, Lazzeri M, Saitta A M, et al. American Mineralogist, 2005, 90: 50.
[8] Worasith N, Goodman B A, Neampan J, et al. Clay Minerals, 2011, 46: 539.
[9] LI Ting, CHEN Tao(李 婷，陈 涛). Acta Petrologica et Mineralogica(岩石矿物学杂志)，2010, 29: 414. |
| [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] |
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. |
| [6] |
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. |
| [7] |
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. |
| [8] |
YANG Cheng-en1, 2, LI Meng3, LU Qiu-yu2, WANG Jin-ling4, LI Yu-ting2*, SU Ling1*. Fast Prediction of Flavone and Polysaccharide Contents in
Aronia Melanocarpa by FTIR and ELM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 62-68. |
| [9] |
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. |
| [10] |
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. |
| [11] |
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. |
| [12] |
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. |
| [13] |
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. |
| [14] |
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. |
| [15] |
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. |
|
|
|
|
