Raman Spectroscopy

Latest News


Aflatoxin B1 molecule, a carcinogenic toxin produced by fungi Aspergillus © Jotch -chronicles-stock.adobe.com

A research team from Jiangsu University has developed a Raman spectroscopy-based method to detect aflatoxin B1 (AFB1) in peanuts with improved accuracy and efficiency. By employing a two-step hybrid strategy integrating backward interval partial least squares (BiPLS) and variable combination population analysis (VCPA), the new model significantly enhances the precision of AFB1 detection, providing a more reliable approach for food safety monitoring.

HORIBA has released three new products including tools for Raman screening, advanced molecular fingerprinting, and atomic fingerprinting. Two of these new tools will be highlighted during Pittcon.

A graphical representation of a connected IoT network, with various nodes, devices, and connections. © EwaStudio-chronicles-stock.adobe.com

A recent review by researchers at Nagpur University and Seth Kesarimal Porwal College explores the ever advancing landscape of the Internet of Things (IoT) and its essential components—sensors and actuators. The review paper classifies various IoT sensors and examines their role in integrating the physical and digital worlds to enable smarter devices and enhanced automation.

Microscope image of modified DNA strands displayed on advanced digital equipment in a biotech lab. Generated with AI. | Image Credit: © Sukifli.D - stock.adobe.com.

In this column, I describe what I believe may be the origin of this fluorescence emission and support my conjecture with some measurements of polycyclic aromatic hydrocarbons (PAHs). Understanding the origin of these interfering backgrounds may enable you to design experiments with less interference, avoid the laser illuminations that make things worse, or both.

AI-powered Raman spectroscopy method for rapid drug detection in blood © angellodeco - stock.adobe.com

Scientists from China and Finland have developed an advanced method for detecting cardiovascular drugs in blood using surface-enhanced Raman spectroscopy (SERS) and artificial intelligence (AI). This innovative approach, which employs "molecular hooks" to selectively capture drug molecules, enables rapid and precise analysis, offering a potential advance for real-time clinical diagnostics.