Researchers from Italy have developed a Raman spectroscopy-based method for the rapid detection of Clostridium spores in milk. This technique offers significant advantages over traditional methods, reducing detection time by nearly half while maintaining sensitivity and reliability.
The world of engineering and innovation mourns the loss of a towering figure with the passing of Sir David McMurtry, CBE, RDI, FREng, FRS, CEng, FIMechE, co-founder and Non-Executive Director of Renishaw. Known for his brilliance, humility, and groundbreaking contributions to metrology and manufacturing, McMurtry leaves a legacy that has profoundly shaped modern engineering.
A recent study examined the role that Raman spectroscopy is playing in disease diagnosis.
Researchers at Yanshan University have developed a groundbreaking method combining Raman spectroscopy and deep learning models to accurately identify and quantify components in blended vegetable oils.
HSI is widely applied in fields such as remote sensing, environmental analysis, medicine, pharmaceuticals, forensics, material science, agriculture, and food science, driving advancements in research, development, and quality control.
A recent study reveals widespread and increasing microplastic contamination in the soils of Phoenix and the Sonoran Desert, highlighting significant environmental concerns and the need for further research into their sources and impacts.
The following is a summary of selected articles published recently in Spectroscopy on the subject of handheld, portable, and wearable spectrometers representing a variety of analytical techniques and applications. Here we take a closer look at the ever shrinking world of spectroscopy devices and how they are used. As spectrometers progress from bulky lab instruments to compact, portable, and even wearable devices, the future of spectroscopy is transforming dramatically. These advancements enable real-time, on-site analysis across diverse industries, from healthcare to environmental monitoring. This summary article explores cutting-edge developments in miniaturized spectrometers and their expanding range of practical applications.
Over the past two years Spectroscopy Magazine has increased our coverage of artificial intelligence (AI), deep learning (DL), and machine learning (ML) and the mathematical approaches relevant to the AI topic. In this article we summarize AI coverage and provide the reference links for a series of selected articles specifically examining these subjects. The resources highlighted in this overview article include those from the Analytically Speaking podcasts, the Chemometrics in Spectroscopy column, and various feature articles and news stories published in Spectroscopy. Here, we provide active links to each of the full articles or podcasts resident on the Spectroscopy website.
Researchers have developed a highly sensitive method using Raman and surface-enhanced Raman spectroscopy (SERS) with gold nanoparticles to accurately quantify intracellular cholesterol.
Webinar Date/Time: Wednesday, December 11th, 11:00 AM EST
Researchers from Northwest University in Xi’an, China, developed a novel portable Raman spectroscopy method with advanced chemometric techniques to accurately quantify harmful polycyclic aromatic hydrocarbons (PAHs) in oily sludge.
Researchers from India developed a new micro-Raman spectroscopy system to detect and analyze microplastics.
Microplastics (MPs) and nanoplastics (NPs) are emerging contaminants requiring robust analytical techniques for identification and quantification in diverse environmental and biological matrices. This review highlights various spectroscopy methods, such as Raman, FT-IR, NIR, ICP-MS, Fluorescence, X-ray, and NMR detailing their methodologies, sample handling, and applications for characterizing MPs and NPs.
A novel method using fluorescence labeling and differential Raman spectroscopy claims to offer a more efficient, accurate approach to detect microplastics in seawater. Developed by researchers at the Ocean University of China, this method improves both the speed and precision of microplastic identification, addressing a key environmental issue affecting marine ecosystems.
Webinar Date/Time: Tue, Dec 10, 2024 2:00 PM EST
A Monday morning session at the Eastern Analytical Symposium in Plainsboro, New Jersey, highlighted hyperspectral and biological imaging techniques.
A new review highlights the promising role of non-destructive spectroscopy techniques in enhancing olive and extra virgin olive oil (EVOO) quality assessments. By combining spectroscopy with imaging, researchers uncover innovative ways to determine product authenticity and improve quality control in olive oil production.
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.
Webinar Date/Time: Wednesday, December 4th, 2024 Morning Session: 10:00 am EDT - 12:00 pm EDT Afternoon Session: 1:00 pm EDT - 2:20 pm EDT Thursday December 5th, 2024 Morning Session: 10:00 am EDT - 12:00 pm EDT Afternoon Session: 1:00 pm EDT - 1:40 pm EDT
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.
