基于多孔硅的表面增强激光诱导击穿光谱法对微液滴中锶的灵敏定量分析。

Sensitive Quantitative Analysis of Strontium in Microdroplet by Surface-enhanced Laser-induced Breakdown Spectroscopy Using Porous Silicon.

机构信息

Department of Chemical Engineering and Materials Science, Graduate School of Engineering, University of Hyogo.

出版信息

Anal Sci. 2021 Dec 10;37(12):1839-1841. doi: 10.2116/analsci.21N024. Epub 2021 Jul 16.

Abstract

Surface-enhanced laser-induced breakdown spectroscopy (SELIBS) is a promising method for microanalysis of liquid samples. We previously demonstrated that the SELIBS signal was significantly enhanced by using porous silicon (Si) instead of flat Si. In this work, we dried aqueous droplets containing 1 - 200 ppb strontium (Sr) on porous Si substrates and evaluated the quantitative performance by analyzing the dry residues. A linear calibration curve for the Sr quantification (R = 0.998) was obtained and an LOD was 0.67 ppb.

摘要

基于多孔硅的增强激光诱导击穿光谱法（SELIBS）用于分析液体样品具有很大的潜力。我们之前的研究表明，与使用平整硅相比，多孔硅能显著增强 SELIBS 信号。本工作中，我们将含有 1-200 ppb 锶（Sr）的水溶液滴在多孔硅基底上干燥，通过对干残渣的分析评估定量性能。得到了 Sr 的定量线性校准曲线（R = 0.998），检测限为 0.67 ppb。