Development of a method for automated quantitative analysis of ores using LIBS
Development of a method for automated quantitative analysis of ores using LIBS
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DOI：
10.1016/s0584-8547(01)00191-4
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发表时间：
2001-06
期刊：
影响因子：
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通讯作者：
S. Rosenwasser;G. Asimellis;B. W. Bromley;R. Hazlett;J. Martín;T. Pearce;A. Zigler
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文献类型：
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作者：
S. Rosenwasser;G. Asimellis;B. W. Bromley;R. Hazlett;J. Martín;T. Pearce;A. Zigler
本文报道了一种使用商业激光诱导击穿光谱仪TRACER™ 2100进行矿石实时自动定量分析的方法，该仪器配备了最近开发的计算机控制的自动进样器。自动进样器允许执行用于对多个样品执行多个元素的校准和分析的方法。此外，在每个样品上的多个位置上对分析进行平均，从而补偿异质形态。这里报告了磷酸盐矿石的结果，但正在为一系列矿石和矿物开发类似的方法。开发了用于自动执行金属元素校准的方法，该方法用于对含有已知浓度的以下矿物的磷酸盐矿石样品进行校准：P2 O 5、CaO、MgO、SiO2和Al 2 O3。相对于峰强度和来自其它谱线的最小干扰的最佳组合来选择每个所需元素的谱线。这是一个关键步骤，因为观察到的矩阵依赖性的技术。然后确定每个元素的激光发射（等离子体形成）、信号检测和光学检测持续时间之间的时间间隔的最佳组合，以优化谱线强度和分辨率。该仪器能够分析磷矿石样品中所需的元素，大多数元素的相对标准偏差为2-4%。对磷、钙、镁、铝和硅进行了校正，线性回归系数分别为0.985、0.980、0.993、0.987和0.985。每个样品的制备和分析时间小于5分钟。
This paper reports the development of a method for real-time automated quantitative analysis of mineral ores using a commercial laser-induced breakdown spectroscopy instrument, TRACER™ 2100, fitted with a recently developed computer controlled auto-sampler. The auto-sampler permits the execution of methods for performing calibrations and analysis of multiple elements on multiple samples. Furthermore, the analysis is averaged over multiple locations on each sample, thus compensating for heterogeneous morphology. The results for phosphate ore are reported here, but similar methods are being developed for a range of ores and minerals. Methods were developed to automatically perform metallic element calibrations for supplied phosphate ore samples containing known concentrations of the following minerals: P2O5, CaO, MgO, SiO2and Al2O3. A spectral line for each desired element was selected with respect to the best combination of peak intensity and minimum interferences from other lines. This is a key step, because of the observed matrix dependence of the technique. The optimum combination of the time interval between the laser firing (plasma formation), signal detection, and the duration of the optical detection was then determined for each element, to optimize spectral line intensity and resolution. The instrument was capable of analyzing the required elements in the phosphate ore samples supplied with 2–4% relative standard deviations for most elements. Calibrations were achieved for P, Ca, Mg, Al and Si with linear regression coefficients of 0.985, 0.980, 0.993, 0.987 and 0.985, respectively. Preparation and analysis time for each sample was less than 5 min.