Trends & Perspectives in Molecular and Atomic Spectroscopy
How are molecular and atomic spectroscopy techniques advancing? Spectroscopy asked six panels of experts about the most important recent developments in six key techniques: IR spectroscopy, NIR spectroscopy, Raman spectroscopy, ICP-MS, LIBS, and X-ray fluorescence spectroscopy. We also asked experts at suppliers about how these techniques will be used to address important scientific questions in the coming decade. Here is what they had to say.
New SERS-Microfluidic Platform Classifies Leukemia Using Machine Learning
January 14th 2025A combination of surface-enhanced Raman spectroscopy (SERS) and machine learning on microfluidic chips has achieved an impressive 98.6% accuracy in classifying leukemia cell subtypes, offering a fast, highly sensitive tool for clinical diagnosis.
Advancing Soil Carbon Analysis Post-Wildfire with Spectroscopy and Machine Learning
January 14th 2025Researchers from the University of Oviedo used diffuse reflectance spectroscopy (DRS) and machine learning (ML) to analyze post-wildfire soil organic carbon fractions, identifying key spectral regions and algorithms for advancing remote sensing applications.
Oligonucleotide Analysis in Pharmaceutical Quality Control
January 14th 2025Melting point determination using ultraviolet-visible (UV-Vis) spectrophotometry can be used as a sequence-specific method for identifying therapeutic oligonucleotides in pharmaceutical quality control. This method offers a simple, highly selective approach to differentiate between isomers and ensure the integrity of oligonucleotide active pharmaceutical ingredients (APIs) and drug products.
The Optical Properties of Solid Samples
January 14th 2025Transmittance and reflectance measurements, which are useful for estimating the effects of various physical processes, can include thermal treatments, ionizing radiation exposure, optical exposure, and mechanical treatments—on both crystals and thin films.
