Cassiterite trace element discrimination diagrams to facilitate critical mineral exploration

IF 3.4 2区 地球科学 Q1 GEOCHEMISTRY & GEOPHYSICS
Avish A. Kumar, Ioan V. Sanislav, Huiqing Huang, Paul H.G.M. Dirks
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Abstract

Cassiterite is a weathering-resistant mineral, which can incorporate a variety of trace elements. Trace elements in cassiterite samples collected from twelve deposits in the Herberton Mineral Field, Australia, were measured with the use of laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS). The results were combined with published data from other tin fields, including the Andean Sn belt in South America; the Karagwe Ankole belt in Rwanda; and, from China, the Kangxiwa-Dahongliutan pegmatite field, the Youjiang basin, the Nanling belt and the Da Hinggan Range belt. Tin deposits in the dataset can be subdivided into four deposit types: 1) greisen and veins; 2) skarns; 3) Li-Cs-Ta pegmatites; and 4) polymetallic veins. The cassiterite dataset was analyzed using basic descriptive statistics, principal component analysis (PCA), and cluster analysis. Cassiterite grains from greisen and vein deposits are characterized by high concentrations of Ti (avg. 1751 ppm) and moderate concentrations of Al (avg. 97 ppm), whereas cassiterite grains from skarn deposits generally contain lower concentrations of Ti and Al. Chemical compositional boundaries in cassiterite from different deposits were recognized with cluster analysis. The relative enrichment of Al and Ti in cassiterite grains from greisen and vein deposits is likely due to greisenization reactions. The Ti vs. Al diagram can be used to differentiate between cassiterite grains derived from greisen and vein deposits, as compared to cassiterite grains derived from skarn deposits, whereas Sb vs. V diagram can be used to differentiate between cassiterite grains from polymetallic vein deposits. Zirconium and Nb concentrations are useful in identifying cassiterite grains sourced from LCT pegmatite deposits. The discrimination diagrams developed in this study through cluster analysis indicate that cassiterite grains sourced from different deposit types can be differentiated based on their trace element geochemistry and this can be a useful tool in critical mineral exploration. Therefore, these diagrams can be used effectively to understand metal association and deposit types in a region with detrital cassiterite from stream sediments, till and heavy mineral placer deposits.

锡石微量元素辨别图,促进关键矿物勘探
锡石是一种耐风化的矿物,可含有多种微量元素。利用激光烧蚀电感耦合等离子体质谱法(LA-ICP-MS)测量了从澳大利亚赫伯顿矿田 12 个矿床采集的锡石样本中的微量元素。研究结果与其他锡矿田的公开数据相结合,包括南美洲的安第斯锡矿带、卢旺达的卡拉圭安科莱锡矿带,以及中国的康熙瓦-大红柳滩伟晶岩矿田、右江盆地、南岭锡矿带和大兴安岭锡矿带。数据集中的锡矿床可细分为四种矿床类型:1)灰岩和矿脉;2)矽卡岩;3)锂钙钽伟晶岩;4)多金属矿脉。锡石数据集采用基本描述性统计、主成分分析和聚类分析进行分析。灰岩和矿脉矿床的锡石颗粒具有高浓度钛(平均 1751 ppm)和中等浓度铝(平均 97 ppm)的特征,而矽卡岩矿床的锡石颗粒通常含有较低浓度的钛和铝。通过聚类分析可以识别不同矿床锡石的化学成分界限。灰岩矿床和矽卡岩矿床锡石颗粒中铝和钛的相对富集可能是由于灰化反应造成的。与来自矽卡岩矿床的锡石晶粒相比,Ti 与 Al 的关系图可用来区分来自绿泥石矿床和矿脉矿床的锡石晶粒,而 Sb 与 V 的关系图可用来区分来自多金属矿脉矿床的锡石晶粒。锆和铌的浓度有助于鉴别来自 LCT伟晶岩矿床的锡石晶粒。本研究通过聚类分析绘制的判别图表明,来自不同矿床类型的锡石颗粒可根据其微量元素地球化学特征加以区分,这在关键矿产勘探中是一个有用的工具。因此,可以有效地利用这些图表来了解溪流沉积物、耕层和重矿物块矿床中锡石的金属关联和矿床类型。
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来源期刊
Journal of Geochemical Exploration
Journal of Geochemical Exploration 地学-地球化学与地球物理
CiteScore
7.40
自引率
7.70%
发文量
148
审稿时长
8.1 months
期刊介绍: Journal of Geochemical Exploration is mostly dedicated to publication of original studies in exploration and environmental geochemistry and related topics. Contributions considered of prevalent interest for the journal include researches based on the application of innovative methods to: define the genesis and the evolution of mineral deposits including transfer of elements in large-scale mineralized areas. analyze complex systems at the boundaries between bio-geochemistry, metal transport and mineral accumulation. evaluate effects of historical mining activities on the surface environment. trace pollutant sources and define their fate and transport models in the near-surface and surface environments involving solid, fluid and aerial matrices. assess and quantify natural and technogenic radioactivity in the environment. determine geochemical anomalies and set baseline reference values using compositional data analysis, multivariate statistics and geo-spatial analysis. assess the impacts of anthropogenic contamination on ecosystems and human health at local and regional scale to prioritize and classify risks through deterministic and stochastic approaches. Papers dedicated to the presentation of newly developed methods in analytical geochemistry to be applied in the field or in laboratory are also within the topics of interest for the journal.
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