Ultra-Fast Determination of Trace Elements in Water, Conforming to US EPA 200.7 Using the Agilent 5100 SVDV ICP-OES
The productivity demands of environmental labs working to EPA methodology such as 200.7 for the determination of metals and trace elements in water, solids and biosolids are met using synchronous dual view ICP-OES. The instrumentation achieves an excellent sample-to-sample cycle time of 58 seconds. This enables more samples to be measured each day and reduces argon consumption per sample by 50% per sample.
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.
