New Trend: Application of Laser-Induced Breakdown Spectroscopy with Machine Learning.

The editorial discusses the application of Laser-Induced Breakdown Spectroscopy (LIBS) with machine learning in chemical analysis. LIBS offers real-time, multi-element, and remote analysis capabilities but faces challenges like low repeatability and matrix effects. Machine learning methods have emerged as a promising solution to address these limitations, improving the accuracy of quantitative analysis. Recent advancements in artificial intelligence and machine learning have expanded the scope and effectiveness of LIBS applications in various fields. The editorial highlights recent achievements in LIBS quantification and applications, showcasing the potential of LIBS in analyzing elemental composition in stream sediment, stainless steel, and indoor air quality. [Extracted from the article]