Special Issues
The authors show how a multivariate curve resolution algorithm, called SIMPLe-to-use Interactive Self-modeling Mixture Analysis (SIMPLISMA), can facilitate the quantitative and qualitative analysis of difficult samples, and apply the algorithm to a technically challenging Raman spectra series for carbamazepine polymorphs.
Next-Gen Mineral Identification: Fusing LIBS and Raman Spectroscopy with Machine Learning
September 17th 2024A pioneering study integrates laser-induced breakdown spectroscopy (LIBS) with Raman spectroscopy (RS) and applies machine learning (ML) to achieve exceptional accuracy in mineral identification. The combined approach not only leverages the strengths of both techniques but also enhances classification precision, achieving up to 98.4% accuracy.