中国地质学会岩矿测试技术专业委员会、国家地质实验测试中心主办

矿物表征自动定量分析系统(AMICS)技术在稀土稀有矿物鉴定中的应用

温利刚, 曾普胜, 詹秀春, 范晨子, 孙冬阳, 王广, 袁继海. 矿物表征自动定量分析系统(AMICS)技术在稀土稀有矿物鉴定中的应用[J]. 岩矿测试, 2018, 37(2): 121-129. doi: 10.15898/j.cnki.11-2131/td.201708110129
引用本文: 温利刚, 曾普胜, 詹秀春, 范晨子, 孙冬阳, 王广, 袁继海. 矿物表征自动定量分析系统(AMICS)技术在稀土稀有矿物鉴定中的应用[J]. 岩矿测试, 2018, 37(2): 121-129. doi: 10.15898/j.cnki.11-2131/td.201708110129
Li-gang WEN, Pu-sheng ZENG, Xiu-chun ZHAN, Chen-zi FAN, Dong-yang SUN, Guang WANG, Ji-hai YUAN. Application of the Automated Mineral Identification and Characterization System (AMICS) in the Identification of Rare Earth and Rare Minerals[J]. Rock and Mineral Analysis, 2018, 37(2): 121-129. doi: 10.15898/j.cnki.11-2131/td.201708110129
Citation: Li-gang WEN, Pu-sheng ZENG, Xiu-chun ZHAN, Chen-zi FAN, Dong-yang SUN, Guang WANG, Ji-hai YUAN. Application of the Automated Mineral Identification and Characterization System (AMICS) in the Identification of Rare Earth and Rare Minerals[J]. Rock and Mineral Analysis, 2018, 37(2): 121-129. doi: 10.15898/j.cnki.11-2131/td.201708110129

矿物表征自动定量分析系统(AMICS)技术在稀土稀有矿物鉴定中的应用

  • 基金项目:
    中国地质科学院基本科研业务费资助项目(YYWF201619);国家自然科学基金资助项目(41072073);中国地质调查局地质调查工作项目(12120113002500);自然资源部公益性行业科研专项(201211078)
详细信息
    作者简介: 温利刚, 硕士研究生, 主要从事岩浆作用与资源环境研究。E-mail:yunwenligang@163.com
    通讯作者: 曾普胜, 博士, 研究员, 长期从事矿床学、岩石学和地球化学研究。E-mail:zengpusheng@vip.sohu.com
  • 中图分类号: P575

Application of the Automated Mineral Identification and Characterization System (AMICS) in the Identification of Rare Earth and Rare Minerals

More Information
  • 云南武定迤纳厂铁-铜-稀土矿床是我国扬子地块西南缘具有代表性的元古代铁-铜-稀土矿床之一,矿床中除Fe、Cu外,还伴生REEs、Nb、Co、Mo、Au、U等元素。由于矿石矿物组成复杂,并且稀土、稀有矿物结晶粒度细小、嵌布特征复杂,使用传统的测试技术很难准确地识别鉴定,因此该矿床中稀土、稀有(铌)矿物的赋存状态研究一直较为薄弱。本文应用目前国际上矿物与地质行业先进的矿物自动分析系统——矿物表征自动定量分析系统(AMICS),结合扫描电镜-能谱仪(SEM-EDS)显微结构原位分析技术,实现了常规岩矿鉴定手段难以完成的矿物定量识别和鉴定,准确地测定了武定迤纳厂铁-铜-稀土矿床脉状矿石中矿物种类及其含量,在脉状矿石发现了含量可观的氟碳钙铈矿(0.82%)和少量的含铌金红石(0.02%)等稀土稀有矿物。研究表明,除了铁氧化物成矿阶段,在铜硫化物成矿阶段也伴随有稀土成矿作用,因此可将主矿化期划分为铁氧化物-稀土矿化阶段(Ⅱ-1)和铜硫化物(-金)-稀土矿化阶段(Ⅱ-2)。研究成果为矿石中稀土、稀有金属等战略矿产资源的综合利用及矿床的进一步研究提供了可靠的数据,同时建立了一套先进、实用的岩石矿物鉴定技术,可望在地质、勘探、资源的有效利用等领域得到更广泛应用。
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  • 图 1  云南武定迤纳厂铁-铜-稀土矿床地质简图(据参考文献[2, 9]修改)

    Figure 1. 

    图 2  云南武定迤纳厂铁-铜-稀土矿床样品背散射电子图像(a)和AMICS测试结果图(b)

    Figure 2. 

    图 3  稀土稀有矿物背散射电子(BSE)微观形貌图

    Figure 3. 

    表 1  武定迤纳厂铁-铜-稀土矿床矿石样品AMICS矿物定量检测结果

    Table 1.  Quantitative composition of the Sample YNC1-1-1 by AMICS from the Yinachang Fe-Cu-REE deposit

    矿物名称 质量分数(%) 面积百分比(%) 面积(μm2) 矿物颗粒数 相对误差 矿物标准分子式
    石英 34.38 36.90 7500209.93 26069 0.01 SiO2
    方解石 35.81 36.84 7487643.98 21315 0.01 CaCO3
    绿泥石 24.17 21.24 4317504.81 39607 0.01 Fe32+Mg1.5AlFe0.53+Si3AlO12(OH)6
    氟碳钙铈矿 1.28 0.82 167615.90 5255 0.03 CaCe1.1La0.9(CO3)3F2
    黑云母 0.87 0.79 160222.11 450 0.09 KMg2.5Fe0.52+AlSi3O10(OH)1.75F0.25
    萤石 0.70 0.63 128600.05 2776 0.04 CaF2
    黄铁矿 1.00 0.56 114151.95 3593 0.03 FeS2
    绿帘石 0.56 0.45 91840.77 3048 0.04 Ca2FeFeAl(Si2O7)(SiO4)O(OH)
    钠长石 0.24 0.26 53234.30 468 0.09 Na0.95Ca0.05Al1.05Si2.95O8
    褐帘石 0.32 0.24 48501.47 3669 0.03 La0.5Ce0.5Ca0.5Y0.5Al2Fe(SiO4)3(OH)
    黄铜矿 0.27 0.18 36844.15 852 0.07 CuFeS2
    铁白云石 0.07 0.07 13484.56 133 0.17 CaFe0.62+Mg0.3Mn0.12+(CO3)2
    磷灰石 0.02 0.02 4078.82 60 0.26 Ca5(PO4)3(OH)F
    金红石 0.02 0.02 3135.25 159 0.16 TiO2
    辉石 < 0.01 < 0.01 688.96 15 0.52 Ca0.9Na0.1Mg0.9Fe0.22+Al0.4Ti0.1Si1.9O6
    锆石 < 0.01 < 0.01 184.72 10 0.63 Zr(SiO4)
    重晶石 < 0.01 < 0.01 44.93 3 1.15 BaSO4
    未知 0.27 0.38 76973.31 5780 0.03 -
    孔隙 - 0.58 118515.33 6188 0.02 -
    合计 99.98 99.98 20323475.30 119450 - -
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出版历程
收稿日期:  2017-08-11
修回日期:  2018-01-22
录用日期:  2018-03-21

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