|
|
|
|
|
|
Study on Chemical Compositions and Origin Discriminations of Hetian Yu From Maxianshan, Gansu Province |
DAI Lu-lu1, YANG Ming-xing1, 2*, WEN Hui-lin1 |
1. Gemmological Institute, China University of Geoscience (Wuhan), Wuhan 430074, China
2. Gem Testing Center, China University of Geoscience (Wuhan), Wuhan 430074, China
|
|
|
Abstract The Hetian Yu from Maxianshan have important gemological and archaeological cultural value in Gansu province. The origin discrimination is divided into a research focus for Hetian Yu from Maxianshan. In this paper, through testing and analyzing chemical compositions of Hetian Yu from Maxianshan, comparing its chemical compositions with the main domestic origins of Hetian Yu, and establishing discriminant models for the origins of trace elements, it explores the identifications of Hetian Yu from Maxianshan in Gansu and providing data supports for the traceability of ancient jade artifacts of the Qijia Culture in Gansu. Electron probe analysis of the main elements of Hetian Yu from Maxianshan shows that main component is tremolite. The trace elements and REE of Hetian Yu from Xinjiang, Qinghai, Liaoning, Jiangsu, Guizhou and Gansu provinces were analyzed by laser ablation inductively coupled plasma mass spectrometer (LA-ICP-MS), and show that there were differences in the trace elements, REE parameters and the REE distribution patterns of Hetian Yu from Maxianshan with other origins, which could be used to discriminant Hetian Yu from different origins. Three-dimensional scatter map ΔCe-Σ REE-LREE/HREE can discriminant the origins of Hetian Yu from Qinghai, Liaoning, Jiangsu and Guizhou provinces but can not discriminant the Hetian Yu from Xinjiang and Gansu provinces. SPSS software was used to establish a linear origin discrimination model for trace elements of Hetian Yu in Maxianshan, Xinjiang Uygur Autonomous Region, Qinghai, Liaoning, Jiangsu, Guizhou provinces. For six known origins: Xinjiang Uygur Autonomous Region, Qinghai, Liaoning, Jiangsu, Guizhou, Gansu provinces, the correct rate of discriminant analysis and cross-validation can reach 100.0% and 90.3%. There are 10 sets of Maxianshan data reserved, and the correct rate of back-generation verification is 100%. The linear origins discrimination model of trace elements has a good effect in the discrimination of Hetian Yu from various origins.
|
Received: 2021-04-20
Accepted: 2021-06-10
|
|
Corresponding Authors:
YANG Ming-xing
E-mail: yangc@cug.edu.cn
|
|
[1] YE Shu-xian(叶舒宪). Journal of Baise University(百色学院学报), 2015, 28(3): 1.
[2] NONG Pei-zhen, ZHOU Zheng-yu, LAI Meng, et al(农佩臻, 周征宇, 赖 萌, 等). Acta Mineralogica Sinica(矿物学报), 2019, 39(3): 327.
[3] ZHANG Yu-yan, QIU Zhi-li, YANG Jiang-nan, et al(张钰岩, 邱志力, 杨江南, 等). Acta Scientiarum Naturalium Universitatis Sunyatseni(中山大学学报·自然科学版), 2018, 57(2): 1.
[4] Liu Y, Hu Z, Gao S, et al. Chemical Geology, 2008, 257(1): 34.
[5] Lu C, Liu Y, Hu Z, et al. Chemical Geology, 2011, 284(3-4): 283.
[6] Li X Y, Zhang C, Harald B. Lithos, 2020, 105371: 362.
[7] LIU Xian-fan, WANG Ling, LI Hui, et al(刘显凡, 汪 灵, 李 慧, 等). Acta Mineralogica Sinica(矿物学报),2015, 35(1): 19.
[8] Liu Y, Deng J, Shi G H, et al. Journal of Asian Earth Sciences, 2011, (42): 440.
[9] LIAO Zong-ting, ZHONG Qian, ZHI Ying-xue, et al(廖宗廷, 钟 倩, 支颖雪, 等). Journal of Gems & Gemmology(宝石和宝石学杂志), 2018, 20(S1): 54.
[10] ZHOU Zhen-hua, FENG Jia-rui(周振华, 冯佳睿). Acta Petrologica et Mineralogica(岩石矿物学杂志), 2010, 29(3): 331.
[11] LI Jing, GAO Jie, TONG Xin-ran, et al(李 晶, 高 洁, 童欣然, 等). Journal of Gems & Gemmology(宝石和宝石学杂志), 2010, 12(3): 19.
[12] ZHI Ying-xue, LIAO Guan-lin, CHEN Qiong, et al(支颖雪, 廖冠琳, 陈 琼, 等). Journal of Gems & Gemmology(宝石和宝石学杂志), 2011, 13(4): 7.
|
[1] |
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. |
[2] |
LIU Shu-hong1, 2, WANG Lu-si3*, WANG Li-sheng3, KANG Zhi-juan1, 2,WANG Lei1, 2,XU Lin1, 2,LIU Ai-qin1, 2. A Spectroscopic Study of Secondary Minerals on the Epidermis of Hetian Jade Pebbles From Xinjiang, China[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 169-175. |
[3] |
HU Cai-ping1, HE Cheng-yu2, KONG Li-wei3, ZHU You-you3*, WU Bin4, ZHOU Hao-xiang3, SUN Jun2. Identification of Tea Based on Near-Infrared Spectra and Fuzzy Linear Discriminant QR Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3802-3805. |
[4] |
LUO Li, WANG Jing-yi, XU Zhao-jun, NA Bin*. Geographic Origin Discrimination of Wood Using NIR Spectroscopy
Combined With Machine Learning Techniques[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3372-3379. |
[5] |
GAO Ran1, 2, CHEN Quan-li1, 3*, REN Yue-nan4, BAO Pei-jin1, HUANG Hui-zhen1. Study on the Gemmological and Spectral Characteristics of Emeralds From Kagem, Zambia[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3186-3192. |
[6] |
TAO Long-feng1, 2, LIU Chang-jiang2, LIU Shu-hong3, SHI Miao2, HAN Xiu-li1*. Preparation and Spectral Characteristics of Mn2+ Doped Nephrite Tailings Glass[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2710-2714. |
[7] |
JIN Cheng-liang1, WANG Yong-jun2*, HUANG He2, LIU Jun-min3. Application of High-Dimensional Infrared Spectral Data Preprocessing in the Origin Identification of Traditional Chinese Medicinal Materials[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2238-2245. |
[8] |
WU Mu-lan1, SONG Xiao-xiao1*, CUI Wu-wei1, 2, YIN Jun-yi1. The Identification of Peas (Pisum sativum L.) From Nanyang Based on Near-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1095-1102. |
[9] |
ZHAO An-di1, 3, CHEN Quan-li1, 2, 3*, ZHENG Xiao-hua2, LI Xuan1, 3, WU Yan-han1, 3, BAO Pei-jin1, 3. Study on Spectroscopic Characteristics of Turquoise Treated With
Phosphate and Porcelain[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1192-1198. |
[10] |
LI Xiao1, CHEN Yong2, MEI Wu-jun3*, WU Xiao-hong2*, FENG Ya-jie1, WU Bin4. Classification of Tea Varieties Using Fuzzy Covariance Learning
Vector Quantization[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(02): 638-643. |
[11] |
WANG Zhi-xin, WANG Hui-hui, ZHANG Wen-bo, WANG Zhong, LI Yue-e*. Classification and Recognition of Lilies Based on Raman Spectroscopy and Machine Learning[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 183-189. |
[12] |
HE Yan1, SU Yue1, YANG Ming-xing1, 2*. Study on Spectroscopy and Locality Characteristics of the Nephrites in Yutian, Xinjiang[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(12): 3851-3857. |
[13] |
LÜ Yang1, PEI Jing-cheng1*, ZHANG Yu-yang2. Chemical Composition and Spectra Characteristics of Hydrothermal Synthetic Sapphire[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3546-3551. |
[14] |
GENG Ying-rui1, SHEN Huan-chao1, NI Hong-fei2, CHEN Yong1, LIU Xue-song1*. Support Vector Machine Optimized by Near-Infrared Spectroscopic
Technique Combined With Grey Wolf Optimizer Algorithm to
Realize Rapid Identification of Tobacco Origin[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(09): 2830-2835. |
[15] |
LI Qing1, 2, XU Li1, 2, PENG Shan-gui1, 2, LUO Xiao1, 2, ZHANG Rong-qin1, 2, YAN Zhu-yun3, WEN Yong-sheng1, 2*. Research on Identification of Danshen Origin Based on Micro-Focused
Raman Spectroscopy Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1774-1780. |
|
|
|
|