Mapping capability of linear correlation statistics for characterization of complex materials using laser-induced...

Area of Science:

• Analytical Chemistry
• Materials Science
• Spectroscopy

Background:

• Laser-induced breakdown spectroscopy (LIBS) is a powerful technique for elemental analysis.
• Characterizing complex sample compositions, especially with depth variations, remains a challenge for conventional LIBS.
• Developing advanced data analysis methods is crucial for maximizing LIBS capabilities.

Purpose of the Study:

• To investigate the efficacy of linear correlation statistics for chemical mapping using LIBS.
• To assess the method's ability to characterize surface and depth compositional changes in materials.
• To compare the proposed correlation mapping technique with conventional LIBS intensity mapping.

Main Methods:

• Brass samples were chemically treated to induce a corrosion layer of varied spread.
• Laser-induced breakdown spectroscopy (LIBS) was employed for sample analysis.
• Linear correlation statistics were used to generate correlation depth profiles, 2D, and 3D correlation maps from LIBS data.

Main Results:

• The study successfully generated correlation depth profiles, 2D, and 3D correlation maps.
• These maps effectively contrasted treated and non-treated sample zones, revealing detailed compositional variations.
• Conventional LIBS maps based solely on signal intensity were generated for comparative analysis.

Conclusions:

• Linear correlation statistics offer significant advantages for 3D chemical mapping with LIBS, particularly for samples with non-uniform compositions.
• The proposed methodology accurately located corroded regions within the analyzed volume, including areas affected by chemical attack byproducts.
• This advanced mapping technique surpasses conventional LIBS intensity mapping in resolving complex compositional heterogeneity.