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基于拉曼光谱的复杂硫化矿快速分类

[Fast Classification of Complex Sulphide Ore Based on Raman Spectroscopy].

作者信息

Cai Yao-yi, Yang Chun-hua, Xu De-gang, Li Yuan-ying, Gui Wei-hua

出版信息

Guang Pu Xue Yu Guang Pu Fen Xi. 2017 Jan;37(1):129-34.

PMID:30195280
Abstract

The regional features, metallogenitic regularities and mineral composition of the hydrothermal sulphide ore have been preliminarily studied. According to the different mineralization period, the patterns of valuable minerals disseminated in ore are complicated, which causes the large changes in the properties of the sulphide ore. The different properties of the sulphide ore may increase the difficulty of the mineral processing and reduce the recovery rate of valuable minerals. Therefore a simple method for rapidly classification of sulphide ore is required to optimize mineral processing flowsheet. Laser Raman spectrometry, as an effective method to analyze the structure of the material is used to identify the component and structure of minerals. The research on the Laser Raman spectra of the large number of sulphide ore samples can reveal the reasons for the difference of the Raman spectra. A new method for classifying the complex sulphide ore using Raman spectroscopy is proposed. The experiment results demonstrate that the properties of the sulphide ore in different mineralization period vary greatly and the fluorescent scattering is mainly produced by gangue minerals. The measured Raman spectral after quenching the fluorescence scattering show the peaks of Raman spectra at 201.62, 242.54, 288.38 and 309.77 cm-1 can be used to identify this kind of complex sulphide ore. The raw ore can be divided into three categories based on the difference of the intensity of fluorescence scattering and the ratio of fluorescence and Raman intensity. The accuracy of the classification method is further validated by the industrial tests. The findings demonstrate the close relationship between Raman spectra and the properties of sulphide ore. The proposed method, which can fast classify the sulphide ore, don’t need complex chemical pretreatment before spectra collection. Therefore, this method will have important application value for improving the efficiency of mineral processing.

摘要

对热液硫化矿的区域特征、成矿规律及矿物组成进行了初步研究。根据不同的矿化期,矿石中有用矿物的分布模式复杂,导致硫化矿性质变化较大。硫化矿性质的差异可能会增加选矿难度,降低有用矿物的回收率。因此,需要一种简单的方法对硫化矿进行快速分类,以优化选矿流程。激光拉曼光谱法作为一种分析材料结构的有效方法,用于识别矿物的成分和结构。对大量硫化矿样品的激光拉曼光谱研究可以揭示拉曼光谱差异的原因。提出了一种利用拉曼光谱对复杂硫化矿进行分类的新方法。实验结果表明,不同矿化期的硫化矿性质差异很大,荧光散射主要由脉石矿物产生。消除荧光散射后测得的拉曼光谱显示,拉曼光谱在201.62、242.54、288.38和309.77 cm-1处的峰可用于识别这类复杂硫化矿。根据荧光散射强度的差异以及荧光与拉曼强度之比,原矿可分为三类。工业试验进一步验证了该分类方法的准确性。研究结果表明拉曼光谱与硫化矿性质之间存在密切关系。所提出的方法能够快速对硫化矿进行分类,在光谱采集前无需复杂的化学预处理。因此,该方法对提高选矿效率具有重要的应用价值。

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