Raman Spectroscopy

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.

In part 2 of our interview with Oskar Hagelskjaer of Microplastic Solution, he discusses the benefits of using automated Raman microspectroscopy to detect and analyze microplastics in drinking water.

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.

Spectroscopy sat down with Oskar Hagelskjaer, Founder and CEO of Microplastic Solution, to discuss his latest study whose findings challenge EU Directive 2020/2184 regarding microplastic detection in potable water.

Spectroscopy sat down with Juergen Popp of the Leibniz Institute for Photonic Technology to talk about the Photonics West Conference, as well as his work using label-free spectroscopy techniques for precise tumor margin control.

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.

Researchers have developed a rapid, reagent-free method to estimate the saponification value (SV) of edible oils using handheld Raman spectroscopy. This innovative approach simplifies oil quality testing, cutting time and costs while enhancing accuracy and portability.

Because there is a different Raman signature for each of the polymorphs as well as the contaminants, Raman microscopy is an ideal tool for analyzing the structure of these materials as well as identifying possible contaminants that would also interfere with performance.