How Using Raman Spectroscopy and SIMPLISMA Can Accelerate the Study of Polymorphs: A Case Study Using Carbamazepine (PDF)
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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.
High-Speed Laser MS for Precise, Prep-Free Environmental Particle Tracking
April 21st 2025Scientists at Oak Ridge National Laboratory have demonstrated that a fast, laser-based mass spectrometry method—LA-ICP-TOF-MS—can accurately detect and identify airborne environmental particles, including toxic metal particles like ruthenium, without the need for complex sample preparation. The work offers a breakthrough in rapid, high-resolution analysis of environmental pollutants.
New Study Reveals Insights into Phenol’s Behavior in Ice
April 16th 2025A new study published in Spectrochimica Acta Part A by Dominik Heger and colleagues at Masaryk University reveals that phenol's photophysical properties change significantly when frozen, potentially enabling its breakdown by sunlight in icy environments.
AI-Driven Raman Spectroscopy Paves the Way for Precision Cancer Immunotherapy
April 15th 2025Researchers are using AI-enabled Raman spectroscopy to enhance the development, administration, and response prediction of cancer immunotherapies. This innovative, label-free method provides detailed insights into tumor-immune microenvironments, aiming to optimize personalized immunotherapy and other treatment strategies and improve patient outcomes.
