Universidade da Coruña, Campus Industrial, Dpto. Ingeniería Naval e Industrial, Laser Applications Laboratory, C/ Mendizabal s/n, 15403, Ferrol, Spain.
Universidade da Coruña, Campus Industrial, Dpto. Ingeniería Naval e Industrial, Laser Applications Laboratory, C/ Mendizabal s/n, 15403, Ferrol, Spain.
Anal Chim Acta. 2022 Sep 22;1227:340260. doi: 10.1016/j.aca.2022.340260. Epub 2022 Aug 26.
In this work, the capability of linear correlation statistics for chemical mapping by laser-induced breakdown spectroscopy (LIBS) has been studied for the first time for the characterization of samples with compositional changes on surface and in depth. For that purpose, a corrosion layer of varied spread has been caused in brass samples by chemical treatment and afterwards analyzed by LIBS. Correlation depth profiles, two-dimensional (2D) correlation maps and three-dimensional (3D) correlation maps have been generated from LIBS data to contrast the results obtained from treated and non-treated samples and zones. Conventional LIBS maps based on signal intensity have also been generated for comparison. The conclusions of this study demonstrate the capability and benefits of using the linear correlation method for 3D mapping by LIBS of samples with non-uniform composition. In this sense, the proposed methodology has allowed to determine the location of the corroded regions in the analyzed volume, even in the non-treated zones also affected by the byproducts originated from the chemical attack, in contrast to conventional LIBS mapping based on signal representation.
在这项工作中，首次研究了激光诱导击穿光谱（LIBS）的线性相关统计在化学绘图中的能力，用于表面和深度上具有成分变化的样品的特性描述。为此，通过化学处理在黄铜样品上产生了具有不同分布的腐蚀层，然后通过 LIBS 进行分析。从 LIBS 数据生成相关深度剖面、二维（2D）相关图和三维（3D）相关图，以对比处理和未处理样品和区域的结果。还生成了基于信号强度的常规 LIBS 图谱进行比较。这项研究的结论证明了使用线性相关方法对具有不均匀成分的样品进行 3D LIBS 绘图的能力和优势。从这个意义上说，所提出的方法允许确定分析体积中腐蚀区域的位置，即使在受化学侵蚀产物影响的未处理区域也是如此，这与基于信号表示的常规 LIBS 映射形成对比。
