|
|
|
|
|
|
Research of Macroscopic and Microcosmic Fabric Characteristics in Geological Samples Based on Variety of Spectroscopy Technology: A Case Study in Jinshan Ag-Au Deposit of Southern Qinzhou-Hangzhou Metallogenic Belt, China |
GAO Le1, 3, SU Zhi-hua2*, LI Hong-zhong3*, YU Peng-peng1, 3 , NIU Jia1, 3, LU Yu-tong1, 3, XU Shu-teng1, 3 |
1. School of Earth Science and Geological Engineering/National Supercomputer Center in Guangzhou, Sun Yat-sen University, Guangzhou 510275, China
2. School of Resource & Environmental Management, Guizhou University of Finance and Economics, Guiyang 550025, China
3. Guangdong Provincial Key Laboratory of Mineral Resource Exploration & Geological Processes, Guangzhou 510275, China |
|
|
Abstract The complexity of geological processes created the macroscopic and microcosmic characteristics of geological samples with inhomogenous features. These features can be revealed effective through spectroscopy analysis technology. This study took the ore and surrounding rock samples from Jinshan Ag-Au deposit of southern Qinzhou-Hangzhou metallogenic belt while carrying out macroscopic geochemical characteristic and microcosmic characteristics analysis based on the X-ray fluorescence spectroscopy, plasma mass spectrometry and Raman spectrum. The results showed that the main elements of ore and surrounding rock had great differences while the distribution patterns of trace element and rare earth element were similar. It reflected that the trace elements and rare earth elements showed high geochemical stability in the process of mineralization. Raman spectral characteristics of quarts showed that the peak at 507 cm-1 did exist in ore samples, but disappeared in surrounding rock samples. It indicated that the ore and surrounding rock went through different temperature and pressure in the ore-forming process, and the peak could be used as the signs of whether exists mineralization. Comparison with the Raman shift next to 463 cm-1 for quartz between ore and surrounding rocks, the FWHM and integral strength of fitting peak denote that the quartz in ore samples have better crystal degree than that of quartz in country rocks . These quartz microstructure changes should be subjected to the late hydrothermal activity. The quartz in the surrounding rock is influenced by the late hydrothermal, part of the ore-forming fluid may be from surrounding rock, and the ore-forming fluid has multiple phase, the crystallization degree of mineral was in different stages, causing different FWHM.
|
Received: 2016-09-12
Accepted: 2016-12-30
|
|
Corresponding Authors:
SU Zhi-hua, LI Hong-zhong
E-mail: 284958131@qq.com; lihongzhong01@aliyun.com
|
|
[1] Li H Z, Zhai M G, Zhang L C, et al. The Scientific World Journal, 2013: 969630.
[2] MAO Jing-wen,CHEN Mao-hong,YUAN Shun-da,et al (毛景文,陈懋弘,袁顺达,等). Acta Geologica Sinica(地质学报),2011,85(5):636.
[3] XU De-ming,LIN Zhi-yong,LUO Xue-quan,et al (徐德明,蔺志永,骆学全,等). Earth Science Frontiers(地学前缘),2015,22(2):6.
[4] Hou W S,Yang Z J,Zhou Y Z,et al. Computers & Geosciences,2012,48:1.
[5] ZHOU Yong-zhang,ZENG Chang-yu,LI Hong-zhong,et al(周永章,曾长育,李红中,等). Geological Bulletin of China(地质通报),2012,31(2~3):486.
[6] Li H Z, Zhai M G, Zhang L C, et al. Journal of Asian Earth Sciences, 2014,94: 267.
[7] GAO Le,LIU Qi-yuan,XU Shu-teng,et al(高 乐,刘奇缘,徐述腾,等). Geology and Exploration(地质与勘探),2016,52(5):956.
[8] Zheng Y,Zhou Y Z,Wang Y J,et al. Ore Geology Reviews,2016,73:346.
[9] Zhang Y,Zhou Y Z,Wang L F,et al. Journal Central South University,2013,20:184.
[10] ZHANG Qi (张 旗). Acta Petrologica Et Mineralogica(岩石矿物学杂志),2012,31(3):425.
[11] Robinson F A,Foden J D,Collins A S. Lithos,2015,220-223:97.
[12] LI Hong-zhong,ZHAI Ming-guo,ZHANG Lian-chang,et al(李红中,翟明国,张连昌,等). Acta Petrologica Sinica(岩石学报),2016,32(1):233.
[13] Noons R E,Devonshire R,Clapp T V,et al. Journal of Non-Crystalline Solids,2008,354:3059.
[14] Li H Z, Zhai M G, Zhang L C, et al. The Scientific World Journal, 2014: 780910.
[15] ZENG Chang-yu,DING Ru-xin,LI Hong-zhong,et al(曾长育,丁汝鑫,李红中,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2015,35(11):3187.
[16] LUO An,LI Hong-zhong,ZHAO Ming-zhen,et al(罗 安,李红中,赵明臻,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2014,34(12):3333.
|
[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] |
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. |
[3] |
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. |
[4] |
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. |
[5] |
HAN Xue1, 2, LIU Hai1, 2, LIU Jia-wei3, WU Ming-kai1, 2*. Rapid Identification of Inorganic Elements in Understory Soils in
Different Regions of Guizhou Province by X-Ray
Fluorescence Spectrometry[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 225-229. |
[6] |
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. |
[7] |
CHENG Hui-zhu1, 2, YANG Wan-qi1, 2, LI Fu-sheng1, 2*, MA Qian1, 2, ZHAO Yan-chun1, 2. Genetic Algorithm Optimized BP Neural Network for Quantitative
Analysis of Soil Heavy Metals in XRF[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3742-3746. |
[8] |
LI Wei1, TAN Feng2*, ZHANG Wei1, GAO Lu-si3, LI Jin-shan4. Application of Improved Random Frog Algorithm in Fast Identification of Soybean Varieties[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3763-3769. |
[9] |
WANG Zhi-qiang1, CHENG Yan-xin1, ZHANG Rui-ting1, MA Lin1, GAO Peng1, LIN Ke1, 2*. Rapid Detection and Analysis of Chinese Liquor Quality by Raman
Spectroscopy Combined With Fluorescence Background[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3770-3774. |
[10] |
LIU Hao-dong1, 2, JIANG Xi-quan1, 2, NIU Hao1, 2, LIU Yu-bo1, LI Hui2, LIU Yuan2, Wei Zhang2, LI Lu-yan1, CHEN Ting1,ZHAO Yan-jie1*,NI Jia-sheng2*. Quantitative Analysis of Ethanol Based on Laser Raman Spectroscopy Normalization Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3820-3825. |
[11] |
LU Wen-jing, FANG Ya-ping, LIN Tai-feng, WANG Hui-qin, ZHENG Da-wei, ZHANG Ping*. Rapid Identification of the Raman Phenotypes of Breast Cancer Cell
Derived Exosomes and the Relationship With Maternal Cells[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3840-3846. |
[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] |
GUO He-yuanxi1, LI Li-jun1*, FENG Jun1, 2*, LIN Xin1, LI Rui1. A SERS-Aptsensor for Detection of Chloramphenicol Based on DNA Hybridization Indicator and Silver Nanorod Array Chip[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3445-3451. |
[14] |
ZHU Hua-dong1, 2, 3, ZHANG Si-qi1, 2, 3, TANG Chun-jie1, 2, 3. Research and Application of On-Line Analysis of CO2 and H2S in Natural Gas Feed Gas by Laser Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3551-3558. |
[15] |
LIU Jia-ru1, SHEN Gui-yun2, HE Jian-bin2, GUO Hong1*. Research on Materials and Technology of Pingyuan Princess Tomb of Liao Dynasty[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3469-3474. |
|
|
|
|