A new comprehensive review explores how wearable plasmonic sensors using surface-enhanced Raman spectroscopy (SERS) are changing the landscape for non-invasive health monitoring. By combining nanotechnology, AI, and real-time spectroscopy analysis to detect critical biomarkers in human sweat, this integration of nanomaterials, flexible electronics, and AI is changing how we monitor health and disease in real-time.
In this interview, S. Michael Angel, a consultant on the SuperCam team, explains how the instrument analyzes Martian rocks and what it reveals about Mars’ geology and potential for past life.
The Perseverance rover is equipped with many cameras and different instruments to conduct scientific experiments on Mars, including several spectrometers. We describe some of them here.
In a new study published in Measurement, researchers explored the power of low-frequency Raman spectroscopy for non-invasive drug analysis.
A new deep learning-enhanced spectroscopic platform—SERSome—developed by researchers in China and Finland, identifies medicinal and edible homologs (MEHs) with 98% accuracy. This innovation could revolutionize safety and quality control in the growing MEH market.
A new study published in Spectrochimica Acta Part A by Dominik Heger and colleagues at Masaryk University reveals that phenol's photophysical properties change significantly when frozen, potentially enabling its breakdown by sunlight in icy environments.
Researchers at Delft University of Technology have developed a novel method using single compound spectra to enhance the transferability and accuracy of Raman spectroscopy models for real-time fermentation monitoring.
Researchers are using AI-enabled Raman spectroscopy to enhance the development, administration, and response prediction of cancer immunotherapies. This innovative, label-free method provides detailed insights into tumor-immune microenvironments, aiming to optimize personalized immunotherapy and other treatment strategies and improve patient outcomes.
A recent study introduces a new development in cancer research using Raman spectroscopy.
A recent study demonstrated the utility of Raman spectroscopy and machine learning (ML) algorithms to classify plastic types found in waste of electric and electronic equipment (WEEE) streams.
A leading-edge review led by researchers at Oak Ridge National Laboratory and MIT explores how artificial intelligence is revolutionizing the study of molecular vibrations and phonon dynamics. From infrared and Raman spectroscopy to neutron and X-ray scattering, AI is transforming how scientists interpret vibrational spectra and predict material behaviors.
A recent study by Southeast University researchers presented a cost-effective, high-accuracy solution for pharmaceutical quality control.
A new study highlights the potential of Raman spectroscopy for distinguishing between bee and wasp venom-based therapies from different manufacturers.
Researchers in China have developed a rapid, non-destructive Raman spectroscopy method that accurately detects active components in complex drug formulations by combining advanced algorithms to eliminate noise and fluorescence interference.
Using LIBS, infrared, and Raman spectroscopic techniques scientists detect quartz and hydrated silica, hinting at past Martian water activity and potential biosignatures
A new study published in Talanta introduces SYSPECTRAL, a portable multi-spectroscopic system that can conduct non-invasive, in situ chemical analysis of cultural heritage materials by integrating LIBS, LIF, Raman, and reflectance spectroscopy into a single compact device.
In this interview segment, John Richmond and Tom Dearing, both of Thermo Fisher Scientific, discuss the software the MarqMetrix All-In-One Raman Analyzer uses and how it aids in interpreting complex Raman spectra, providing insights into the configurations that the instrument allows for.
Scientists detail the first 1,000 sols of spectroscopic mineral detections on Mars
In this interview segment, John Richmond and Tom Dearing of Thermo Fisher Scientific explain how Raman spectroscopy is used in the MarqMetrix All-In-One Raman Analyzer, as well as the challenges faced when using Raman spectroscopy in process environments.
Tianjin University researchers develop an advanced AI model to enhance food safety.
In this "Icons of Spectroscopy" column, executive editor Jerome Workman Jr. details how Tomas B. Hirschfeld has made many significant contributions to vibrational spectroscopy and has inspired and mentored many leading scientists of the past several decades.
Given the importance of this nomenclature in guiding authors and reviewers, we invite members of the spectroscopy community to provide feedback, suggest updates, or participate in future revisions.
A research team from Jiangsu University has developed a Raman spectroscopy-based method to detect aflatoxin B1 (AFB1) in peanuts with improved accuracy and efficiency. By employing a two-step hybrid strategy integrating backward interval partial least squares (BiPLS) and variable combination population analysis (VCPA), the new model significantly enhances the precision of AFB1 detection, providing a more reliable approach for food safety monitoring.
