Raman Spectroscopy

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University of Granada researchers compared different methods and their effectiveness in classifying ink found in historical documents.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

A new study published in Green Analytical Chemistry reveals significant microplastic pollution in Uzbekistan’s Zarafshan River, highlighting regional differences, industrial contributions, and the urgent need for improved monitoring and mitigation strategies.

Last year, we released a content series titled “Advancing Agriculture for Future Generations.” Here, we compile some of the latest studies in this space.

Presentations held during the first half of SPIE Photonics West 2025 highlighted the latest technological advancements in spectroscopy and how they can improve quality of life for people around the world.

Researchers have demonstrated the potential of deep ultraviolet Raman spectroscopy (DUVRS) as a rapid, nondestructive, and sensitive tool for detecting antihistamines like cetirizine in oral fluid samples, paving the way for broader forensic applications.

This excerpt from The Concise Handbook of Analytical Spectroscopy, which spans five volumes, serves as a comprehensive reference, detailing the theory, instrumentation, sampling methods, experimental design, and data analysis techniques for each spectroscopic region.

To improve the robustness and accuracy of logistic regression identification method, a new Raman spectroscopy identification method was proposed that combines a distributionally robust optimization technique and fused lasso technique with logistic regression. Then, Raman spectroscopy was used to analyze two types of dairy products that were collected for anti-jamming identification testing to verify the effectiveness of the new method.

Researchers from Tsinghua University have developed an innovative dual-wavelength Raman spectroscopy method that eliminates fluorescence interference in measuring esophageal tissue samples. This development enables precise identification of molecular changes in these tissues, with potential applications in early esophageal cancer diagnosis.

A recent study from Shanghai University demonstrated aa novel method for identifying and quantifying animal-origin milk powders.

A new study highlights the use of Raman spectroscopy to detect lung cancer and evaluate the effects of the PCV13 vaccine. Researchers found distinct biochemical changes in lung cancer patients and healthy individuals, revealing the vaccine's significant impact on immune response.

Spectroscopy recently sat down with Isao Noda of the University of Delaware and Young Mee Jung of Kangwon National University to talk about the principles of two-dimensional correlation spectroscopy (2D-COS) and its key applications.

A recent study demonstrates the successful development of in-line monitoring techniques using Raman spectroscopy and advanced modeling for titanium dioxide-free tablet coatings.

A combination of surface-enhanced Raman spectroscopy (SERS) and machine learning on microfluidic chips has achieved an impressive 98.6% accuracy in classifying leukemia cell subtypes, offering a fast, highly sensitive tool for clinical diagnosis.

Researchers at the Chinese Academy of Sciences have developed an optical detection strategy for circulating tumor cells (CTCs), combining machine learning (ML) and dual-modal surface-enhanced Raman spectroscopy (SERS). This approach offers high sensitivity, specificity, and efficiency, potentially advancing early cancer diagnosis.

A recent study examined how Raman spectroscopy, when combined with machine learning (ML), can detect and analyze fertilizer nutrients.

Researchers from the University of Liege have demonstrated the potential of surface-enhanced transmission Raman spectroscopy (SETRS) for detecting impurities in pharmaceuticals. The study highlights SETRS’s superior sensitivity, precision, and efficiency in quantifying toxic impurities like 4-aminophenol (4-AP), offering a promising alternative to traditional methods.