THz Multidimensional Spectroscopy Sensing: A Novel Approach for High-Precision Metal Slag Recognition Using Packed Gratings

Accurate differentiation of slag types is pivotal for the metal market, given its implications for safety, environmental impact, and economic recovery of precious metals. However, conventional analytical techniques like XRD and SEM-EDS are fraught with high costs, lengthy procedures, and potential dangers. In this investigation, we unveil an innovative method that harnesses the power of multidimensional spectroscopy, the LDA algorithm, and THz-TDS, obviating these challenges. Through a unique ’mask filling’ fabrication technique, we create devices laden with metallic particles. These devices, when interrogated with the aforementioned spectroscopic and analytical tools, yield a wealth of information, thanks to their integrated external controls. By distilling the essence of the spectral data via LDA, we craft a sophisticated multidimensional dataset that elevates the precision of slag classification from a lacklustre 75.0% to an impressive 95.8%. Our strategy stands as a beacon of progress, offering a safer, swifter, and more economically viable pathway to the characterization of metal slags.