使用激光诱导击穿光谱法对铁矿石矿浆进行在线分析。

On-stream analysis of iron ore slurry using laser-induced breakdown spectroscopy.

作者信息

Cheng Xiao, Yang Xinyan, Zhu Zhihao, Guo Lianbo, Li Xiangyou, Lu Yongfeng, Zeng Xiaoyan

出版信息

Appl Opt. 2017 Nov 20;56(33):9144-9149. doi: 10.1364/AO.56.009144.

DOI:10.1364/AO.56.009144

Abstract

On-stream analysis of the element content in ore slurry has important significance in the control of the flotation process and full use of raw materials. Therefore, techniques that can monitor the chemistry in slurries online are required. Laser-induced breakdown spectroscopy (LIBS) is one of the potential approaches to online measurements due to its capability of in situ and real-time analysis. However, using LIBS for on-stream analysis of slurries is challenging due to the issues such as surface ripples, sample splashing, sedimentation, etc. To address these problems, we developed a slurry circulation system. The effects of slurry flow rate on LIBS spectra were investigated to achieve the optimal detecting surface for better repeatability of LIBS. The coefficient of determination R of the calibration curve for Fe element is 0.982, and the limit of detection of Fe element was estimated to be 0.075 wt. % under the optimized experimental parameters. The results show that this slurry circulation system is applicable to the on-stream slurry analysis.

摘要

对矿浆中的元素含量进行在线分析对于浮选过程的控制和原材料的充分利用具有重要意义。因此，需要能够在线监测矿浆化学成分的技术。激光诱导击穿光谱法（LIBS）因其具有原位和实时分析能力，是在线测量的潜在方法之一。然而，由于表面波纹、样品飞溅、沉淀等问题，使用LIBS对矿浆进行在线分析具有挑战性。为了解决这些问题，我们开发了一种矿浆循环系统。研究了矿浆流速对LIBS光谱的影响，以获得最佳检测表面，从而提高LIBS的重复性。在优化的实验参数下，Fe元素校准曲线的决定系数R为0.982，Fe元素的检测限估计为0.075 wt.%。结果表明，该矿浆循环系统适用于矿浆的在线分析。