利用统计方法对伟晶岩锂矿激光诱导击穿光谱数据进行锂辉石鉴定

IF 5.4 2区 化学 Q1 INSTRUMENTS & INSTRUMENTATION Applied Spectroscopy Reviews Pub Date : 2021-08-17 DOI:10.1080/05704928.2021.1963977
Sari Romppanen, I. Pölönen, H. Häkkänen, S. Kaski
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引用次数: 5

摘要

利用激光诱导击穿光谱(LIBS)进行测绘不仅可以提供元素的空间分布,丰富的光谱信息还可以实现矿物识别。本文采用统计方法对伟晶岩锂矿石中的锂辉石进行了识别。首先利用280 ~ 820 nm的多谱线宽光谱范围,建立了基于顶点分量分析(VCA)、K-means和DBSCAN聚类的方法。然而,考虑到潜在的现场应用,必须减少数据集的尺寸,以完成快速分析。因此,利用具有不同矿物学特征的锂伟晶岩,在有限的光谱范围(560 ~ 815 nm)内测试了该方法的矿物识别能力。
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Optimization of spodumene identification by statistical approach for laser-induced breakdown spectroscopy data of lithium pegmatite ores
Abstract Mapping with laser-induced breakdown spectroscopy (LIBS) can offer more than just the spatial distribution of elements: the rich spectral information also enables mineral recognition. In the present study, statistical approaches were used for the recognition of the spodumene from lithium pegmatite ores. A broad spectral range (280–820 nm) with multiple lines was first used to establish the methods based on vertex component analysis (VCA) and K-means and DBSCAN clusterings. However, with a view to potential on-site applications, the dimensions of the datasets must be reduced in order to accomplish fast analysis. Therefore, the capability of the methods in mineral identification was tested with a limited spectral range (560–815 nm) using Li-pegmatites with various mineralogical characters.
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来源期刊
Applied Spectroscopy Reviews
Applied Spectroscopy Reviews 工程技术-光谱学
CiteScore
13.80
自引率
1.60%
发文量
23
审稿时长
1 months
期刊介绍: Applied Spectroscopy Reviews provides the latest information on the principles, methods, and applications of all the diverse branches of spectroscopy, from X-ray, infrared, Raman, atomic absorption, and ESR to microwave, mass, NQR, NMR, and ICP. This international, single-source journal presents discussions that relate physical concepts to chemical applications for chemists, physicists, and other scientists using spectroscopic techniques.
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