A new open-access Raman spectral library enables scientists to detect molecular 'fingerprints' of particles and better trace sources of ocean plastic pollution. The database adds 42 polymer types, including those from non-plastic particles, to improve accuracy.
Researchers have developed a new method for detecting ultrafast electronic processes using entangled photons, enabling high-resolution Raman spectroscopy. The technique overcomes the diffraction limit and allows for sensitive detection of molecular excitations on the femtosecond scale.
Researchers at Duke University developed nanorattles that amplify signals from separate biomarkers, allowing for accurate detection of head and neck cancers without biopsies. The technology uses machine learning algorithms to tease apart multiple biomarker signals, making it possible to target multiple diseases simultaneously.
Researchers developed a label-free Raman spectroscopy approach with enhanced sensitivity and speed, allowing for non-invasive imaging of biological samples. The new CARS microscopy system can acquire microscopic images and identify biomolecules with unprecedented resolution and speed.
Researchers have created a photoacoustic imaging endoscope probe that can fit inside a medical needle, resolving subcellular-scale tissue structural and molecular information in 3D. The device has an ultra-thin design, allowing for real-time 3D characterization of tissue during minimally invasive procedures.
A research team from Japan has developed a stable TERS system that enables characterization of defect analysis in large-sized WS2 layers at high pixel resolution. The team successfully imaged nanoscale defects over a period of 6 hours in a micrometer-sized WS2 film without significant signal loss.
The new system, S4, offers a high-resolution view of stressed specimens comparable to or better than established technologies like DIC. It also overcomes optical challenges posed by cement in concrete, providing a reliable strain measurement technology.
Researchers created a wearable sensor that can measure biomarkers and substances using Raman spectroscopy. The sensor is robust and sensitive, with potential applications in glucose monitoring and virus detection.
A team of researchers has combined expansion microscopy and stimulated Raman scattering microscopy to create a new imaging technique called MAGNIFIERS. This allows for the high-resolution imaging of biomolecules, including proteins, lipids, and DNA, at the nanoscale.
Researchers successfully measured the wettability of graphene and other 2D materials using VSFG, a surface-selective tool that connects macroscopic and molecular-level properties. The study found that graphene's 'wetting transparency' diminishes with increasing layers, becoming hydrophobic at a certain point.
A new multimodal eye scanner combining optical coherence tomography (OCT) and Raman spectroscopy enables the detection of molecular information in the internal structure of the eye. This technology aims to detect neurodegenerative diseases, such as Alzheimer's and Parkinson's, at an early stage, improving treatment options.
Scientists elucidated the structures at the interface between a working catalyst and reacting molecules in vanadium pentoxide, revealing which oxygen atoms activate hydrocarbons. The study showed that temperature and gas composition influence the reaction, leading to more sustainable oxidation processes.
A new Ramanome-based technique can detect metabolically active microbes in teeth, even when they appear to have stopped growing. This allows for more targeted disinfection and reduced use of antimicrobial drugs, potentially lowering the risk of side effects.
Researchers developed a new technique called dual-detection impulsive vibrational spectroscopy (DIVS) to measure two distinct types of vibrational signals. DIVS enables synchronous measurement of THz- and fingerprint region vibrations, offering high temporal resolution for real-time chemical analysis.
Researchers developed a new reagent-free detection technique for SARS-CoV-2 using Raman spectroscopy and machine learning. The method shows an accuracy of 80% in detecting COVID-19 infections from saliva samples, overcoming limitations of RT-PCR testing.
Researchers have developed a rapid and accurate breathalyzer test that can diagnose COVID-19 in under 5 minutes, identifying asymptomatic carriers. The handheld device uses surface-enhanced Raman scattering sensors to detect volatile organic compounds exhaled by infected individuals.
Researchers developed a new SERS-based multiplexing technique to detect kidney injury biomarkers SLPI and IL-18, achieving high sensitivity and reliability. The approach shows promise for objectively assessing donor kidney quality, potentially reducing discard rates and recipient complications in clinical practice.
A team of researchers used CARS microscopy to analyze the fat arrangement in foie gras and duck pâté. They found that foie gras had a harder, more brittle texture due to its irregularly shaped fat network. The study provides new insights into the relationship between microstructure and food texture.
Researchers from SMART and TLL have developed a rapid Raman spectroscopy-based method to detect and quantify early bacterial infection in crops. This method enables non-invasive early diagnosis, which is crucial for plant disease management and agricultural productivity.
Researchers at Johns Hopkins University have developed a non-invasive optical probe to understand the complex changes in tumors after immunotherapy. Using Raman spectroscopy and machine learning, they identified key features that indicate how tumors respond to treatment, showing promising results for predicting patient response.
Researchers develop a new technique to investigate surface structures of semiconductors at the atomic scale. The technique, called atomic point contact Raman spectroscopy, reveals enhanced Raman scattering from silicon surfaces when a plasmonic silver tip is brought into contact with the surface.
Researchers have developed a novel super-resolution vibrational microscopy harnessing Stimulated Raman Excited Fluorescence (SREF) for ultrasensitive vibrational contrast. This technique enables all-far-field Raman spectroscopy with sensitivity down to single-molecule resolution.
Researchers have developed a new method called Raman holography, which uses surface-enhanced Raman scattering to image and analyze single particles in three dimensions. This technology has the potential to revolutionize fields such as live cell imaging and anti-counterfeiting.
A team of researchers from The University of Tokyo used electron spectroscopy and computer simulations to study the internal atomic structure of aluminosilicate glass. They found intricate structures that have not yet been analyzed by scientists, including complex coordination networks among aluminum atoms within phase-separated regions.
A new non-invasive microscopy technique uses quantitative phase microscopy and Raman spectroscopy to detect the activation state of macrophage cells and distinguish between different cell types. This approach enables high sensitivity at the single-cell level, revealing cellular heterogeneity and outlier behaviors.
Scientists have created a non-invasive instrument that uses optical trapping and Raman spectroscopy to study individual cells in real-time. The technique allows for the analysis of cell interactions and molecular differences without damaging or labeling the cells.
Amélie Juhin, a physicist and spectroscopist, has been awarded the ESRF Young Scientist of the Year 2017 prize for her experimental and theoretical studies on resonant X-ray scattering and X-ray dichroism. Her research focuses on probing electronic and magnetic properties of nanoparticles and molecular magnets.
Scientists have developed a glucose-sensing contact lens that utilizes surface-enhanced Raman scattering spectroscopy to detect glucose levels in tears. The device, built from multiple layers of gold nanowires, enhances the sensing properties by creating hot spots within the nanostructure.
Researchers have developed an inexpensive and flexible micro-Raman system for non-destructive analysis of biological samples, offering a fraction of the cost and capability of commercial tools. This system allows for label-free detection of variations in biomolecular composition and correlates it with corresponding biological changes.
Case Western Reserve University Professor Ozan Akkus is building a souped-up Raman microscope into FastRAM, which can provide images of materials in seconds to minutes instead of hours. The new device would allow researchers to analyze dynamic processes like chemical reactions as they occur.
Scientists developed a new SERS sensor with high sensitivity and reproducibility, detecting a specific organic species in low concentrations. The sensor uses vertically arranged carbon nanotubes to amplify Raman-scattered light signals.
Scientists have developed wavelength-modulated Raman spectroscopy to overcome challenges in using the method in a clinical setting. The technique enables clean extraction of Raman signals even with high auto-fluorescence backgrounds and ambient light.
Researchers at NIST have developed a new method to visualize the molecular structure of blended polymers, resolving details at sub-micrometer levels. This technique has important implications for designing industrially important polymers like polyethylene blends used in water pipes.
Researchers at the University of Nevada, Reno have developed a self-healing coating for aluminum that provides corrosion protection and can replace carcinogenic chromate coatings. The new molybdate-based coating shows exceptional performance and can be applied to all aluminum products.
Researchers at Harvard University have created a new type of biomedical imaging that can capture 'video' of blood cells squeezing through capillaries. The technique, based on stimulated Raman scattering (SRS), makes label-free chemical movies with streaming footage at the subcellular level.
A new method for molecular imaging in cells using CARS technique reduces power levels while increasing speed, enabling detailed molecular maps without damaging cells. This breakthrough opens the door for widespread use of vibrational spectroscopy in biology and clinical diagnosis.
Robin Clark will receive the prize for his groundbreaking use of Raman microscopy, enabling the authentication of art and artifacts without damaging them. This award recognizes his significant contributions to the field of chemistry and its impact on the preservation of cultural heritage.
Researchers at Harvard University developed a highly sensitive microscopy technique based on stimulated Raman scattering, allowing for real-time tracking of metabolites and drugs in living cells. This technology has the potential to revolutionize metabolic studies of omega-3 fatty acids and understand their processing in the human body.
Researchers at NIST have demonstrated a way to measure low levels of stress in semiconductor devices as small as 10 nanometers across. By combining two techniques - electron back scattered diffraction and confocal Raman microscopy - they resolved the long-standing disagreement between two widely used methods of stress measurement.
Researchers use confocal laser scanning microscopy and Raman spectroscopy to analyze ancient microorganisms in Martian rocks, revealing insights into biochemistry and degradation over millions of years. The techniques allow scientists to view fossils in three dimensions, providing new evidence for the search for life on Mars.
Mechanical engineers at Purdue University have proven that chaotic oscillations in an atomic-force microscope can cause errors in measurements, affecting the accuracy of research and industry applications. The study reveals how much error is caused by chaos and provides information that could be used to improve measurement techniques.
Researchers have discovered a new method for measuring the molecular properties of materials, allowing them to study nanostructures in unprecedented detail. The Gradient-Field-Raman (GFR) spectroscopy technique reveals unique vibration patterns that couldn't be explained by previous methods.