Raman Spectroscopy

Top articles published this week include an interview with Landulfo Silveira Jr., an article about using Raman spectroscopy in hematology, and a recap of a recent study that used infrared (IR) spectroscopy to screen for cancer.

Researchers from Sichuan University and the University of Georgia have developed an advanced method combining Raman spectroscopy and chemometric analysis to effectively identify and distinguish between various PFAS compounds, improving detection and environmental monitoring capabilities.

Spectroscopy sat down with Landulfo Silveira Jr. of Universidade Anhembi Morumbi-UAM and Center for Innovation, Technology and Education-CITÉ (São Paulo, Brazil) to talk about his team’s latest research using Raman spectroscopy to detect biomarkers of cancer in canine sera.

A leading-edge review highlights the potential of Raman spectroscopy for fast, non-invasive diagnostics in hematology and oncology. By mapping biochemical fingerprints, this technology could one day help detect cancers, monitor treatments, and even predict immune responses.

A recent study looked at how deep–UV Raman technology is studying the volcanic history of Mars.

This new study examines how spectroscopic techniques, such as attenuated total reflection Fourier transform infrared spectroscopy (ATR FT-IR), ultraviolet–visible–near-infrared (UV-Vis-NIR) spectroscopy, and Raman spectroscopy, were used to analyze the pigments in ancient Chinese wall paintings.

Here, we present a compilation of some of the most recent studies that used Raman spectroscopy as part of their methodology.

A recent study showcases the potential of Fourier transform near-infrared (FT-NIR) spectroscopy and spatially offset Raman spectroscopy (SORS) in detecting raw material defects in hazelnuts caused by improper storage conditions. FT-NIR spectroscopy proved especially effective, while SORS offered complementary insights in certain scenarios. These spectroscopic methods could modernize the speed and accuracy of hazelnut inspections in the food industry.

A recent study examined the use of surface-enhanced Raman spectroscopy (SERS) in detecting pollutants and pesticide residues in fruits and vegetables.

A recent study published in Sustainability highlighted the utility of Raman spectroscopy in the development of digital agriculture.

A recent study used Raman spectroscopy to monitor cell culture processes.

As a preview to the SciX 2024 conference, Spectroscopy sat down with Ioan Notingher to discuss about what he is looking forward to at SciX 2024.

A recent study examines how Raman spectroscopy and UV-vis spectroscopy can be used in the quality control of over-the-counter medications (OTCMs), ensuring their authenticity.

Researchers from the Shanghai Institute of Technology have developed a leading-edge method using surface-enhanced Raman scattering (SERS) to accurately differentiate between amino acid enantiomers. This breakthrough could revolutionize applications in pharmaceutical synthesis, disease diagnosis, and quality control of chiral compounds.

A recent study in Icarus examined how Mars’ ultraviolet radiation affects mineral composition on the planet’s surface.

This year’s Emerging Leader in Molecular Spectroscopy Award recipient is Joseph P. Smith of Merck, whose research is significantly influencing pharmaceutical process development through his work in various spectroscopic techniques, biocatalysis, protein engineering, vaccine production, and advanced data analysis methods.

A recent study out of Russia examined the application of Raman spectroscopy in biomedical and biological research.

As a preview to the SciX 2024 conference, Spectroscopy sat down with Ioan Notingher to talk about his research.

A recent study from Japan explored how to improve rice processing and other agricultural products using Raman scattering spectroscopy.

In the final part of our interview with Nick Stone, he discusses standardizing Raman technology across multiple clinical centers, and what it means to him to be attending the SciX Conference as the recipient of the Charles Mann award.

In part 2 of our conversation with Nick Stone, we discuss topics such as machine learning (ML) and spectrometer transferability in clinical settings.

In a preview to the upcoming SciX Conference October 20 to 25 in Raleigh, North Carolina, Spectroscopy sat down with Nick Stone of the University of Exeter to discuss his recent work in oncology and clinical analysis.

In this preview interview for SciX 2024, Jason Dwyer of the University of Rhode Island discusses his experience with SERS and his feelings on winning the American Electrophoresis Society's Mid-Career Award.

A pioneering study integrates laser-induced breakdown spectroscopy (LIBS) with Raman spectroscopy (RS) and applies machine learning (ML) to achieve exceptional accuracy in mineral identification. The combined approach not only leverages the strengths of both techniques but also enhances classification precision, achieving up to 98.4% accuracy.

Researchers at King Saud University have successfully improved the efficiency of methylammonium lead triiodide (MAPbI3) perovskite solar cells by doping them with Germanium Sulfide (GeS). By enhancing the crystalline quality and surface morphology of the perovskite layer, the team achieved a power conversion efficiency (PCE) of 17.46%, making this doping technique a promising method for improving solar cell performance.