A recent study presents a detailed investigation on the pressure-dependent behavior of a Bi2(MoO4)3 crystal using Raman spectroscopy and lattice dynamic calculations. The study sheds light on the structural transformations and vibrational properties of the crystal under varying pressure conditions, offering valuable insights for material science research.
A new study utilized genetic algorithms to optimize pre-processing strategies and classification models such as SVM, multilayer perceptron, and PLS-DA for improved lung cancer diagnosis using Raman spectra data.
An in situ high-temperature Raman scattering study of monoclinic m-Ag2Mo2O7 microrods reveals an irreversible first-order structural phase transition and melting process, according to new research.
Scientists have investigated the structural changes of a discotic liquid crystal during its phase transitions using a combination of quantum chemical approaches and vibrational spectroscopy.
Biomedical Raman imaging is growing in the biomedical space, where technical advances and new information processing tools and techniques aim to propel the field into the future. An upcoming conference in Atlanta, Georgia, will explore these developments while bringing scientists in this field together.
The article discusses a comparison of Raman imaging assessment methods for phase determination and stress analysis of zirconium oxide layers and their application in the development of zirconium alloys, especially for nuclear applications.
This interview with Young Jong Lee highlights the work he and his team have done to reinvent solvent absorption compensation (SAC), and the potential it has across multiple forms of spectroscopy.
Researchers have developed a new method for analyzing Raman spectroscopy data in biological samples using group- and basis-restricted non-negative matrix factorization (GBR-NMF) framework, providing a promising approach for interpreting Raman spectroscopy data in biological samples.
Our annual review of new products for atomic and molecular spectroscopy, including details by category and highlights of overarching trends.
SERS of centrifuged blood serum samples of diabetic type II patients using 50 KDa filter devices can diagnose the disease at an early stage by studying small molecular weight proteins.
The DeepRaman method proposed in the study is an accurate, universal, and ready-to-use method for component identification in various application scenarios.
An overview of Raman spectroscopy and its applications in pharmaceutical analysis is presented.
The researchers believe that the results of this study can contribute to the development of more effective and safer approaches to reduce the toxicity of heavy metals in food and the environment.
Dmitry Kurouski has won the 2023 Emerging Leader in Molecular Spectroscopy Award for his molecular spectroscopy studies revolving around plants.
A Raman calibration model was created to study cell cultures.
According to new research, two new Raman spectroscopy approaches, reducing a spectrum complexity (RSC) and multivariate curve resolution combined with the additions method (MCRAD), can detect bloodstains on a multitude of well-known substrates, with RSC proving to be the more effective technique.
According to the study, partially oxidized Ag nanowires can provide high ethanol selectivity for carbon dioxide electroreduction.
A deep learning model for predicting the size-dependent Raman shift of semiconductor nanomaterials was demonstrated and achieved via multi-layer perceptron.
Webinar Date/Time: Europe: Tuesday, 28 March, 2023 at 1pm BST | 2pm CET North America: Tuesday, 28 March, 2023 at 11am PDT | 1pm CDT | 2pm EDT Asia: Wednesday, 29 March, 2023 at 10:30am IST | 1pm SGT | 2 pm JST | 4pm AEDT
The United States Pharmacopeia–National Formulary (USP–NF) has contributed to ensuring the quality of dietary supplements, foods, and medicines for more than 200 years. This overview explains the use of vibrational spectroscopy techniques in meeting USP–NF requirements and how the information is organized.
Combining multiplex coherent anti-Stokes Raman scattering (MCARS) microscopy with automated data processing enables a simple and more accessible method for label-free bioimaging.
The significance of the smaller spectral region of the Raman spectrum, defined as the “fingerprint in the fingerprint” region, cannot be overstated when it comes to active pharmaceutical ingredient identity testing (API).
Glycoproteins are becoming popular in the pharmaceutical industry, prompting the need for an effective spectroscopic technique that can differentiate them. SERS is one such technique ideal for glycan analysis for several key reasons, which are discussed here.
Webinar Date/Time: Thu, Feb 23, 2023 11:00 AM EST
Handheld FT-Raman spectroscopy can complement GC–MS and IR in characterizing street drugs.
