|
|
|
|
|
|
Mineralogical and Spectroscopic Study on the Similar Species of Chicken-Blood Stone |
CHEN Qian1, CHEN Tao1*, YAN Xue-jun2, WANG Chao-wen1, ZHENG Jin-yu1, LI Meng-yang1 |
1. Gemmological Institute, China University of Geosciences, Wuhan 430074, China
2. Zhejiang FangYuan Test Group Co., Ltd., Hangzhou 310013, China |
|
|
Abstract In recent years, jade species produced in Xi’an, Yunnan with a similar appearance to Chicken-blood stone appear in the gem market. The similar species of Chicken-blood stone has brought an impact on the trade market of Chicken-blood stone, and also brought challenges to the naming and testing of Chicken-blood stone. In this study, the similar species of Chicken-blood stone are studied by using X-ray powder diffraction spectrometer(XRD), scanning electron microscopy(SEM), infrared spectrometer(IR), and laser Raman spectroscopy(LRM) in order to analyze the mineralogical and spectroscopic characteristics of the similar species of Chicken-blood stone. The results are as follow: (1) According to the testing results of XRD, the “Blood” of the similar species of Chicken-blood stone is cinnabar. Quartz and dolomite are the main constituent minerals of Xi’an sample. The “Di” of Yunnan sample is composed of quartz and calcite, and contains a certain amount of aragonite. A small amount of illite was found in the similar species of Chicken-blood stone produced in two places, and a small amount of kaolinite was found in Yunnan samples. (2) SEM showed that the carbonate minerals in the similar species of Chicken-blood stone were euhedral to subhedral. Carbonate minerals are the largest of all minerals. Subhedral-anhedral quartz is distributed between carbonate minerals. Cinnabar is distributed between carbonate minerals and quartz. Fine scale-like illite crystals were observed in Xi’an samples. (3) The IR spectrum shows that a similar species of Chicken-blood stone produced in two places share the similar mineral component of quartz and carbonate mineral. All samples have a strong and wide absorption band of 1 086, 1 167 cm-1 caused by the anti-symmetric stretching vibration of Si—O—Si, and the infrared absorption peaks of 798, 779, 694, 512 and 462 cm-1 belonging to the symmetric stretching vibration of Si—O band. All the above absorption peaks are attributed to quartz. Infrared spectra of dolomite of 727, 881, 1 444 cm-1 were obtained in Xi’an samples. Yunnan samples have infrared spectra of calcite of 712, 876, 1 427, 1 789 cm-1. Calcite and dolomite are calcite group minerals. Their infrared spectra are composed of the vibration mode of carbonate ions and the lattice vibration mode. Their peak positions are slightly different, but the basic contour and assignment are the same. 712~727 cm-1 is the in-plane bending vibration absorption peak of [CO3]2-, 876~881 cm-1 is the out-plane bending vibration absorption peak of [CO3]2-, and the peaks of 1 427~1 444 cm-1 are attributed to the anti-symmetric stretching vibration of [CO3]2-. Some samples containing clay minerals have the vibration peak of OH in the functional area of IR. (4) Raman spectrum test shows that the “Blood” of the samples from Xi’an and Yunnan is cinnabar, with a Raman shift of 254, 290, 350 cm-1. The black mineral in Xi’an sample is stibnite with Raman shift of 147, 191, 252, 452 cm-1. Raman spectra of “Di” accord with the results of the infrared spectrum. Samples from Xi’an and Yunnan have the characteristic Raman shift of quartz in 464 cm-1. In Xi’an sample, there is Raman shift of dolomite of 1 097, 725, 338, 299 cm-1while in Yunnan sample. There is Raman shift of calcite of 1 087, 713 and 282 cm-1. Because there are clay minerals in the similar species of Chicken-blood stone, the identification of Chicken-blood stone cannot simply depend on whether it contains clay minerals.
|
Received: 2019-09-05
Accepted: 2020-02-03
|
|
Corresponding Authors:
CHEN Tao
E-mail: summerjewelry@163.com
|
|
[1] WANG Yi, CHANG Na, LIU Ya-fei(王 轶, 常 娜, 刘亚非). Rock and Mineral Analysis(岩矿测试), 2014, 33(6): 802.
[2] ZHAO Shan-rong, BIAN Qiu-juan, WANG Qin-yan(赵珊茸,边秋娟,王勤燕). Crystallography and Mineralogy(结晶学与矿物学). Beijing: Higher Education Publishing House(北京: 高等教育出版社), 2011.
[3] CHEN He-sheng, SUN Zhen-ya, SHAO Jing-chang(陈和生, 孙振亚, 邵景昌). Bulletin of the Chinese Ceramic Society(硅酸盐通报), 2011, 30(4): 934.
[4] YANG Nian, KUANG Shou-ying, YUE Yun-hui(杨 念, 况守英, 岳蕴辉). Mineralogy and Petrology(矿物岩石),2015, 35(4): 37.
[5] ZHAO Xing-yuan, ZHANG You-yu(赵杏媛, 张有瑜). Analysis of Clay Minerals and Clay Minerals(粘土矿物与粘土矿物分析). Beijing: China Ocean Press(北京: 海洋出版社), 1990.
[6] Balan E, Lazzeri M, Saitta A M, et al. American Mineralogist, 2005, 90(1): 50.
[7] Vandenabeele P, Bodéa S, Alonso A, et al. Spectrochimica Acta Part A, 2005, 61: 2349.
[8] Sherif Kharbish, Eugen Libowitzky, Anton Beran. Eur. J. Mineral, 2009, 21: 325.
[9] ZU En-dong, LI Mao-cai, ZHANG Peng-xiang(祖恩东, 李茂材, 张鹏翔). Journal of Kunming University of Science and Technology(昆明理工大学学报), 2000, 25(3): 77.
[10] DU Guang-peng, FAN Jian-liang(杜广鹏, 范建良). Mineralogy and Petrology(矿物岩石), 2010, 30(4): 32. |
[1] |
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. |
[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] |
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. |
[4] |
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. |
[5] |
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. |
[6] |
WANG Xin-qiang1, 3, CHU Pei-zhu1, 3, XIONG Wei2, 4, YE Song1, 3, GAN Yong-ying1, 3, ZHANG Wen-tao1, 3, LI Shu1, 3, WANG Fang-yuan1, 3*. Study on Monomer Simulation of Cellulose Raman Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 164-168. |
[7] |
LIU Jia, ZHENG Ya-long, WANG Cheng-bo, YIN Zuo-wei*, PAN Shao-kui. Spectra Characterization of Diaspore-Sapphire From Hotan, Xinjiang[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 176-180. |
[8] |
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. |
[9] |
GUO Ya-fei1, CAO Qiang1, YE Lei-lei1, ZHANG Cheng-yuan1, KOU Ren-bo1, WANG Jun-mei1, GUO Mei1, 2*. Double Index Sequence Analysis of FTIR and Anti-Inflammatory Spectrum Effect Relationship of Rheum Tanguticum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 188-196. |
[10] |
WANG Lan-hua1, 2, CHEN Yi-lin1*, FU Xue-hai1, JIAN Kuo3, YANG Tian-yu1, 2, ZHANG Bo1, 4, HONG Yong1, WANG Wen-feng1. Comparative Study on Maceral Composition and Raman Spectroscopy of Jet From Fushun City, Liaoning Province and Jimsar County, Xinjiang Province[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 292-300. |
[11] |
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. |
[12] |
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. |
[13] |
SUN Wei-ji1, LIU Lang1, 2*, HOU Dong-zhuang3, QIU Hua-fu1, 2, TU Bing-bing4, XIN Jie1. Experimental Study on Physicochemical Properties and Hydration Activity of Modified Magnesium Slag[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3877-3884. |
[14] |
BAI Xue-bing1, 2, SONG Chang-ze1, ZHANG Qian-wei1, DAI Bin-xiu1, JIN Guo-jie1, 2, LIU Wen-zheng1, TAO Yong-sheng1, 2*. Rapid and Nndestructive Dagnosis Mthod for Posphate Dficiency in “Cabernet Sauvignon” Gape Laves by Vis/NIR Sectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3719-3725. |
[15] |
WANG Qi-biao1, HE Yu-kai1, LUO Yu-shi1, WANG Shu-jun1, XIE Bo2, DENG Chao2*, LIU Yong3, TUO Xian-guo3. Study on Analysis Method of Distiller's Grains Acidity Based on
Convolutional Neural Network and Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3726-3731. |
|
|
|
|