Raman Spectroscopy

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.

Pakorn Patimetha, Detective Sergeant with the New Jersey State Police's Hazardous Materials Response Unit spoke to Spectroscopy about how officers use portable spectroscopy technology to detect potentially harmful materials at crime scenes.

For "The Future of Forensic Analysis” series, we interviewed Barry Lavine, regents professor from The Department of Chemistry at Oklahoma State University in Stillwater, Oklahoma, to describe his most recent work in applying Raman and infrared (IR) spectroscopy in forensic paint analysis.

Spectroscopy sat down with Brandon Gayle, who specializes in training first responders to use FT-IR, Raman, and other analytical techniques in emergency situations.

Spectroscopic analytical techniques are crucial for the analysis of agricultural products. 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 important quality parameters, adulteration, insects and rodent infestation, ripening, and other essential applications are discussed.

A recent study reveals on the challenges and limitations of AI-driven spectroscopy methods for rapid food analysis. Despite the promise of these technologies, issues like small sample sizes, misuse of advanced modeling techniques, and validation problems hinder their effectiveness. The authors suggest guidelines for improving accuracy and reliability in both research and industrial settings.

Researchers using a portable Raman spectroscopy system have begun in-field analysis of Stonehenge's Altar Stone, aiming to determine its origin and composition, potentially uncovering new insights into the ancient monument's history.

Researchers at Budapest University of Technology and Economics have developed a novel method for real-time monitoring of the protein purification process using Raman and near-infrared (NIR) spectroscopy. Their study compares the effectiveness of these two spectroscopic techniques in tracking the removal of imidazole, a process-related impurity, during the purification of the SARS-CoV-2 spike protein's receptor-binding domain (RBD).