The Agilent 7800 ICP-MS Advantage for Drinking Water Analysis
ICP-MS is widely used for the multielement analysis of trace metals in drinking waters. The newly designed 7800 ICP-MS accurately measured drinking waters for all required elements at regulated levels, without the need for either reactive cell gases or complex interference equations. Using helium collision mode, selenium detection limits less than 20 parts per trillion (ppt) are now routinely achievable.
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.
