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 ...

Laser lights are usually employed for the Raman spectroscopic analysis. The photons emitted by the laser light are absorbed by the sample, temporarily entering a non-stationary, exceedingly brief ...

Every rock on Earth is a time capsule, holding traces of our planet from when the minerals first formed. Consider a smidge of 164-million-year-old clay, says M. Joseph Pasterski, an organic geochemist ...

A recent paper published in Food Chemistry 1 presented a high-throughput, green analytical chemistry approach for ...

BRAVO is a portable Raman spectrometer designed for rapid identification and authentication of raw materials. It delivers ...

AI-enhanced optical spectroscopy revolutionizes food quality monitoring with rapid, non-destructive analysis, ensuring safety and reducing waste in production.

With Raman microscopy, there's an additional layer of complexity: fluorescence. Particle fluorescence can overwhelm the Raman signal and make routine analysis more challenging. In comparison, IR ...

While many people often use spectroscopy and spectrometry interchangeably, there are some subtle differences in their exact meanings and the associated experimental techniques they are used to ...

A common biological surface analysis technique breaks proteins up into smaller molecules that look identical. Reference spectra can help analyze these proteins for understanding diseases and creating ...

What is real-time spectrum analysis? Spectrum (FFT) vs. real-time mode for viewing spikes. What is needed to test for conducted and radiated emissions? If you’ve ever tried to perform ...