Abstract: The present work focuses on the comprehensive implementation of gas/mixture identification employing chemometric analysis followed by on-chip realization. The chemometric analysis has been ...

HOBOKEN, NJ—Wiley, a global leader in authoritative content, data-driven insights, and knowledge services that advance science and learning, today announced the release of KnowItAll 2026, featuring ...

Hyperspectral unmixing methods are essential to exploit the capabilities of Raman spectroscopy for nondestructive, unbiased chemical characterization in a wide array of domains, from biology, ...

Optical sensors and chemometric models were leveraged for the quantification of uranium(VI) (0–100 μg mL–1), europium (0–150 μg mL–1), samarium (0–250 μg mL–1), praseodymium (0–350 μg mL–1), neodymium ...

A curated collection https://github.com/orgs/allthingsraman/repositories of over 70 open-source packages and libraries related to Raman spectra processing ...

Welcome to “Analytically Speaking,” the new podcast from LCGC and Spectroscopy. Here in Episode #9, podcast host Jerry Workman speaks to Prof. Rasmus Bro, who is a full professor at the University of ...

Machine learning has become a powerful tool for systems biologists, from diagnosing cancer to optimizing kinetic models and predicting the state, growth dynamics, or type of a cell. Potential ...

National Electronics and Computer Technology Center, 112 Thailand Science Park, Pathum Thani 12120, Thailand Department of Engineering Physics, Tsinghua University, Beijing 100084, China ...