Laser-induced breakdown spectroscopy quantification: From fundamental understanding to data processing

Laser-induced breakdown spectroscopy (LIBS) is regarded as the future superstar of chemical analysis, but the relatively high measurement uncertainty and error remain persistent challenges for its technological development and wide applications. In this SelectScience webinar, Dr. Zhe Wang will summarize the generation mechanisms of measurement uncertainty and explain how signal uncertainty and matrix effects impact quantification performance.

Furthermore, Wang will discuss methods for raw signal improvement including sample preparation, system optimization, and especially, plasma modulation - which modulates the laser-induced plasma evolution process for higher signal repeatability and signal-to-noise ratio. He will also examine different mathematical quantification methods, including calibration-free methods and calibration methods, which can be classified into physical-principle-based calibration models, data-driven-based calibration models, and hybrid models. Finally, a summary and recommendation of a framework of quantification improvement, including key steps and main route for LIBS future development, will be discussed.

Key learning objectives:

• Understand the mechanisms of signal uncertainty generation
• Learn the impact of matrix effect and signal uncertainty on quantification performance
• Explore a systematic summary of raw signal improvement methods and mathematical quantification models
• Discover a framework for a quantification improvement strategy for future development

Certificate of attendance:

All webinar participants can request a certificate of attendance, including a learning outcomes summary, for continuing education purposes.