Raman Spectroscopy

Surface-enhanced Raman spectroscopy (SERS) is emerging as a powerful tool in brain research, offering enhanced sensitivity and stability over traditional methods. This technique promises to revolutionize the diagnosis and understanding of brain disorders, such as Alzheimer's and Parkinson's diseases, by providing rapid, reliable, and non-invasive diagnostic capabilities.

Top articles this week include another SciX interview with, using Raman imaging to measure the impact of glucose on cancer cells, and diagnosing brain disorders.

Researchers have used Raman spectroscopy and chemometric methods to reveal how glucose affects normal and cancerous brain cell metabolism. Their findings highlight specific biomarkers that can distinguish metabolic changes, potentially aiding in cancer research and treatment.

A recent research collaboration with scientists from Virginia examined using Raman spectroscopy in veterinary medicine to help detect cancer in dogs using urinary screening tests.

Recent research highlights the potential of liquid biopsy combined with Raman spectroscopy (RS) in diagnosing brain disorders. These innovative techniques offer non-invasive, precise, and continuous monitoring capabilities, presenting a promising future for early detection and intervention in conditions such as neurodegenerative diseases (NDs) and traumatic brain injury (TBI).

In a recent study from China University of Mining and Technology, researchers introduced a new fusion model using Raman spectroscopy technology to ensure the authenticity of dairy products.

A recent study looked at addressing the challenges of laser power settings in Raman instruments to improve them for conducting analysis on Mars.

A recent study published in Analyst examined how Raman spectroscopy can be used for detecting microplastics in environmental samples.

An exploration of the battery industry is presented here, with future outlooks described.

A recent study from Carbon highlights the application of Raman spectroscopy in investigating disorder levels in graphite materials.

A recent study examined how spectroscopic techniques are being utilized in food adulteration applications, and what the future holds in this field.

A recent study revealed new insights into the effects of ultraviolet (UV) radiation on Martian minerals.

A recent special issue in the Journal of Raman Spectroscopy explores advancements in Raman spectroscopy techniques, emphasizing mobile setups, data treatment, and novel applications in cultural heritage and forensic contexts. This collection of papers highlights the state-of-the-art approaches and the promising new perspectives they offer.

A recent study used fiber optics reflectance spectroscopy (FORS), X-ray fluorescence (XRF) spectroscopy, and Raman spectroscopy to characterize a painted shroud wrapped around a female Egyptian mummy.

In this article, we show a cross-sectional map of a film compared to a depth profile to evaluate the quality of depth profile measurements.

Researchers have proposed an innovative approach to tackling fluorescence interference in Raman spectroscopy by using LEGO blocks as standard samples. This new method offers a low-cost, rugged, and reproducible alternative to the complex liquid mixtures traditionally used in such studies, marking a significant advancement in the field of spectroscopic analysis.

In this study, a glycerol-fed, lab-scale E. coli bioprocess producing representative pharmaceutical compounds was monitored offline with a portable, high-sensitivity Raman spectrometer.

Dmitry Kurouski, an associate professor of biomedical engineering in the department of Biochemistry and Biophysics at Texas A&M University in College Station, Texas, USA, recently spoke to Spectroscopy about Raman spectroscopy’s role in determining crop yield of key food items as the world population continues to increase.

A recent study from Japan used Raman scattering spectroscopy to predict the digestibility of rice starch.

Harun Hano, Charles H. Lawrie, and Beatriz Suarez, et al. from the Department of Physics at the University of the Basque Country (UPV/EHU), in Spain; and the IKERBASQUE─Basque Foundation for Science in Spain have published a research paper in the journal ACS Omega describing the use of Raman spectroscopy with specialized data treatment for the diagnosis of lung cancer.

A recent study examined terahertz (THz) spectroscopy and low-wavenumber Raman spectroscopy and their recent impact on three major industries.

A recent study examines how the integration of artificial intelligence models with Raman spectroscopy can improve the accuracy of pathological diagnoses.

Spectroscopic analytical techniques are crucial for the analysis of environmental samples. This review emphasizes the latest advancements in several key spectroscopic methods, including atomic, vibrational, molecular, electronic, and X-ray techniques. The applications of these analytical methods in detecting contaminants and other environmental applications are thoroughly discussed.

A recent study published in Food Frontiers shows how Raman spectroscopy is being applied in biomedical sciences and what it means for the industry moving forward.

A recent study used Raman spectroscopy to analyze the crystalline state of minerals.

A recent study showcased how a new Raman spectrometer can improve planetary material analysis.

A recent study from Hefei University examined the role that Raman spectroscopy has played in food safety analysis.

A recent study published in the International Journal of Molecular Science shows how Raman spectroscopy combined with machine learning can serve as an improved alternative detection method to preclinical Alzheimer’s diagnosis.

A recent review article discusses four advanced Raman techniques, including surface-enhanced Raman scattering (SERS), Raman tweezers (RTs), tip-enhanced Raman scattering (TERS), and Raman mapping/imaging (RM/RI), and how these techniques are being applied for the detection of micro- and nanoplastics.

Spectroscopy published stories this work that covered topics such as fluorescence spectroscopy, Raman spectroscopy, and hyperspectral imaging.