Direct determination of lithium in brine samples using handheld LIBS without sample treatment: sample introduction by venturi system

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Nayadet Erbetta, Gonzalo Puebla, Dave Day, Morgan Jennings, Agustin Loureiro, Christopher Green, Loverchio Gallardo and Waldo Quiroz
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Abstract

Splashing is the main problem for the direct analysis of aqueous samples using LIBS since it generates serious precision and accuracy issues. This study demonstrates the direct determination of Li content in brines for the control of industrial mining processes using a portable LIBS device based on the direct laser impact on the sample, without any sample treatment, through the design of a sample injection system based on the Venturi effect. Our results demonstrated that the utilization of the 653.3 nm hydrogen line as an internal standard reduces the model calibration fitting error from 0.440 root mean square error in a standard calibration curve to 0.123 on the internal standard curve. Conversely, the development of a Venturi effect-based injection device using compressed air converts the brine into a fine mist which decrease splashing, resulting in an up to 10-fold error reduction, all without the necessity of employing an internal standard. Our results, evaluated by comparing them to the ASTM D3561-11 standard method using flame atomic absorption spectrometry, indicate that it is feasible to determine the lithium content in brine samples with an error of under 20% and a detection limit of 13 mg kg−1.

Abstract Image

使用手持式 LIBS 直接测定盐水样品中的锂,无需样品处理:通过文丘里管系统引入样品。
溅射是使用 LIBS 直接分析水样的主要问题,因为它会产生严重的精度和准确度问题。本研究利用基于文丘里效应的样品注入系统,在不对样品进行任何处理的情况下,使用激光直接照射样品的便携式 LIBS 设备直接测定盐水中的锂含量,用于控制工业采矿过程。我们的研究结果表明,利用 653.3 nm 氢线作为内标,可将模型校准拟合误差从标准校准曲线的 0.440 均方根误差降低到内标曲线的 0.123。相反,利用压缩空气开发的基于文丘里效应的注入装置可将盐水转化为细雾,从而减少飞溅,使误差减少多达 10 倍,而且无需使用内标。通过与使用火焰原子吸收光谱法的 ASTM D3561-11 标准方法进行比较,我们的结果表明,测定盐水样本中的锂含量是可行的,误差低于 20%,检测限为 13 mg kg-1。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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