In this article, the editors of Spectroscopy present an overview of the latest trend in Raman spectroscopy.
Raman spectroscopy is a versatile forensic analysis method. It enables both qualitative and quantitative analysis by measuring the frequency and intensity of scattered radiations, respectively (1). Raman spectra serve as unique fingerprints for a wide array of compounds, allowing simultaneous tracking of polymers in cell walls and analysis of their molecular composition and structure (2). Its sensitivity to subtle structural changes makes it valuable for comparative tests. Ongoing advancements in Raman techniques and instrumentation further enhance its significance in tissue discovery and characterization (2).
Raman spectroscopy remains a popular spectroscopic technique for analytical scientists. It can provide detailed information on the vibrational and rotational modes of molecules, offering insights into chemical bonding, crystal structure, and molecular dynamics. By measuring the energy shifts in scattered light, Raman spectroscopy can identify specific chemical bonds and functional groups within a sample, making it invaluable for materials characterization, pharmaceutical analysis, and forensic science (2). Its non-destructive nature and ability to analyze samples in various states, including solids, liquids, and gases, make Raman spectroscopy an indispensable tool for scientific research and industrial applications (2).
Spectroscopy has published several technical and news articles on the latest research in Raman spectroscopy. Below is a compilation of some of the most recent articles on Raman spectroscopy. To read more about the current and ongoing research being conducted using Raman spectroscopy, click here.
Monitoring Chemical Changes by Raman Spectroscopy
By: Fran Adar
Polymerization reactions typically involve the loss of a carbon double bond as the chain length is increased, and because the signals from π electrons are strong, the ability to follow this reaction until the end is quite good. However, setting up a polymerization experiment for demonstration purposes can be hazardous. Here, we will show the chemical and spectral changes that occur during the cure of a commercial epoxy.
Read more here: https://www.spectroscopyonline.com/view/monitoring-chemical-changes-by-raman-spectroscopy
Micro-Raman Spectroscopy to Analyze Layered Manganese Oxide Structures
By: Aaron Acevedo
Scientists from Ghent University in Ghent, Belgium and Charles University in Prague, Czech Republic published a study in late 2023 on the characterization of different layered manganese oxide structures, using various types of Raman spectroscopy.
Read more here:https://www.spectroscopyonline.com/view/micro-raman-spectroscopy-to-analyze-layered-manganese-oxide-structures
Rapid Detection of Covid-19 Using Spectroscopy-based Detection Protocols
In a recent study, spectroscopy-based detection protocols were used to detect Covid-19.
Read more here: https://www.spectroscopyonline.com/view/rapid-detection-of-covid-19-using-spectroscopy-based-detection-protocols
The Application of Raman Spectroscopy in Electroceramics
Raman spectroscopy has not been used in the electroceramics industry extensively. However, according to the authors of this study, a shift is underway to change that.
Read more here: https://www.spectroscopyonline.com/view/the-application-of-raman-spectroscopy-in-electroceramics
Using Raman to Monitor Osteoporosis Therapy
By: Aaron Acevedo
In a new study, scientists are investigating Raman spectroscopy as a technique for monitoring postmenopausal osteoporosis
Read more here: https://www.spectroscopyonline.com/view/using-raman-to-monitor-osteoporosis-therapy
Rice Quality Evaluated Using Raman Spectroscopy and Multivariate Analysis
By: Aaron Acevedo
Scientists from Hirosaki University Graduate School of Science and Technology in Japan evaluated the eating quality of white rice samples using Raman spectroscopy.
Read more here: https://www.spectroscopyonline.com/view/rice-quality-evaluated-using-raman-spectroscopy-and-multivariate-analysis
(1) Bumbrah, G. S.; Sharma, R. M. Raman Spectroscopy – Basic Principle, Instrumentation and Selected Applications for the Characterization of Drugs of Abuse. Egyptian J. For. Sci. 2016, 6 (3), 209–215. DOI: 10.1016/j.ejfs.2015.06.001
(2) Saletnik, A.; Saletnik, B.; Puchalski, C. Overview of Popular Techniques of Raman Spectroscopy and Their Potential in the Study of Plant Tissues. Molecules 2021, 26 (6), 1537. DOI: 10.3390/molecules26061537
Raman Spectroscopy to Detect Lung Cancer and Monitor Vaccine Effects
January 20th 2025A new study highlights the use of Raman spectroscopy to detect lung cancer and evaluate the effects of the PCV13 vaccine. Researchers found distinct biochemical changes in lung cancer patients and healthy individuals, revealing the vaccine's significant impact on immune response.
An Inside Look at the Fundamentals and Principles of Two-Dimensional Correlation Spectroscopy
January 17th 2025Spectroscopy recently sat down with Isao Noda of the University of Delaware and Young Mee Jung of Kangwon National University to talk about the principles of two-dimensional correlation spectroscopy (2D-COS) and its key applications.
Nanometer-Scale Studies Using Tip Enhanced Raman Spectroscopy
February 8th 2013Volker Deckert, the winner of the 2013 Charles Mann Award, is advancing the use of tip enhanced Raman spectroscopy (TERS) to push the lateral resolution of vibrational spectroscopy well below the Abbe limit, to achieve single-molecule sensitivity. Because the tip can be moved with sub-nanometer precision, structural information with unmatched spatial resolution can be achieved without the need of specific labels.
New SERS-Microfluidic Platform Classifies Leukemia Using Machine Learning
January 14th 2025A combination of surface-enhanced Raman spectroscopy (SERS) and machine learning on microfluidic chips has achieved an impressive 98.6% accuracy in classifying leukemia cell subtypes, offering a fast, highly sensitive tool for clinical diagnosis.
Machine Learning-Enhanced SERS Technology Advances Cancer Detection
January 13th 2025Researchers at the Chinese Academy of Sciences have developed an optical detection strategy for circulating tumor cells (CTCs), combining machine learning (ML) and dual-modal surface-enhanced Raman spectroscopy (SERS). This approach offers high sensitivity, specificity, and efficiency, potentially advancing early cancer diagnosis.