Raman Spectroscopy

Researchers are using AI-enabled Raman spectroscopy to enhance the development, administration, and response prediction of cancer immunotherapies. This innovative, label-free method provides detailed insights into tumor-immune microenvironments, aiming to optimize personalized immunotherapy and other treatment strategies and improve patient outcomes.

A recent study introduces a new development in cancer research using Raman spectroscopy.

A recent study demonstrated the utility of Raman spectroscopy and machine learning (ML) algorithms to classify plastic types found in waste of electric and electronic equipment (WEEE) streams.

A leading-edge review led by researchers at Oak Ridge National Laboratory and MIT explores how artificial intelligence is revolutionizing the study of molecular vibrations and phonon dynamics. From infrared and Raman spectroscopy to neutron and X-ray scattering, AI is transforming how scientists interpret vibrational spectra and predict material behaviors.

A recent study by Southeast University researchers presented a cost-effective, high-accuracy solution for pharmaceutical quality control.

A new study highlights the potential of Raman spectroscopy for distinguishing between bee and wasp venom-based therapies from different manufacturers.

Researchers in China have developed a rapid, non-destructive Raman spectroscopy method that accurately detects active components in complex drug formulations by combining advanced algorithms to eliminate noise and fluorescence interference.

Using LIBS, infrared, and Raman spectroscopic techniques scientists detect quartz and hydrated silica, hinting at past Martian water activity and potential biosignatures

A new study published in Talanta introduces SYSPECTRAL, a portable multi-spectroscopic system that can conduct non-invasive, in situ chemical analysis of cultural heritage materials by integrating LIBS, LIF, Raman, and reflectance spectroscopy into a single compact device.

Scientists detail the first 1,000 sols of spectroscopic mineral detections on Mars

Tianjin University researchers develop an advanced AI model to enhance food safety.

In this "Icons of Spectroscopy" column, executive editor Jerome Workman Jr. details how Tomas B. Hirschfeld has made many significant contributions to vibrational spectroscopy and has inspired and mentored many leading scientists of the past several decades.

Given the importance of this nomenclature in guiding authors and reviewers, we invite members of the spectroscopy community to provide feedback, suggest updates, or participate in future revisions.

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.

In this Icons of Spectroscopy column, Executive Editor Jerome Workman Jr. delves into Part II of the Raman Effect, discovered by C. V. Raman, a physicist whose major contributions to vibrational spectroscopy have helped shape the field and advance one of the most important quantum-based spectroscopy tools of recent generations.

University of Granada researchers compared different methods and their effectiveness in classifying ink found in historical documents.

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 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.

In this "Icons of Spectroscopy" column, executive editor Jerome Workman Jr. delves into Part I of the life and work of C. V. Raman, a physicist who has made major contributions to the science of vibrational spectroscopy and created an understanding for one of the most important quantum-based spectroscopy tools in generations.

Spectroscopy recently sat down with Dr. Geraldine Monjardez and two of her coauthors, Dr. Christopher Zall and Dr. Jared Estevanes, to discuss their most recent study, which examined the crystal structure of ammonium nitrate (AN) following exposure to explosive events.

This article highlights key contributors who have significantly advanced the field of spectroscopy in recent decades.

The most viewed Spectroscopy DOI-registered articles from January 2025.

A recent study examined how to differentiate between genuine and false gemstones using Raman spectroscopy and multivariate analysis.

Researchers have explored the Raman spectral properties of HgPSe3 thin flakes, revealing their structural uniformity and potential for high-performance ultraviolet-to-visible (UV-Vis) photodetectors. Their study, published in the Chinese Journal of Physics, highlights the material’s strong optoelectronic properties and fast response times.

Researchers from Shandong University and the Chinese Academy of Sciences have developed the Shandong University Remote Raman Spectrometer (SDU-RRS), a remote Raman system designed to enhance mineral detection in planetary exploration.

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.

Researchers at Zhengzhou Police University have developed an AI-powered Raman spectroscopy method that achieves 100% accuracy in identifying plastic beverage bottles.

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.