The following requirements and features must be considered when choosing Raman analyzers for hazardous environments: ...

Depth sensitive Raman spectroscopy has shown its advantages in the detection of Raman spectra for layered tissues. However, till now the depth scanning mode in Raman spectroscopy is the proximal ...

Tiotropium DPI is known for its efficacy in improving lung function and quality of life for patients suffering from respiratory conditions.

A long-term real-world study of older adults with COPD shows that initiation of tiotropium is linked to a minimal increase in dementia risk, which is unlikely to outweigh its clinical benefits.

This research highlights Raman spectroscopy's role in evaluating gasoline, jet fuel, and diesel, streamlining lab workflows and boosting productivity.

A patent for a “Raman Spectroscopy System” filed by Haemanthus.

A project at Rice University has developed a new machine learning (ML) algorithm intended to improve the identification of biomarkers in optical spectra. As reported in ACS Nano, the algorithm could ...

This perspective highlights the essential physicochemical factors required for accurate computational modeling of Raman and Resonance Raman signals in complex environments. It highlights the ...

Various improved Raman techniques such as coherent, resonant, and surface-enhanced Raman scattering, have been reported to boost Raman signals over spontaneous Raman spectroscopy (RS). However, a high ...

In battery research, Raman spectroscopy is a key tool for analyzing materials, monitoring degradation, and optimizing performance in energy storage systems.

Raman spectroscopy offers real-time, non-destructive analysis for hydrogen and sustainable aviation fuels, enhancing quality control and process optimization.