Top articles this week include how spectroscopy is being used in education, athletics, and biology.
This week, Spectroscopy published various articles that covered many topics in analytical spectroscopy. This week’s articles feature techniques including near-infrared (NIR) spectroscopy and surface-enhanced Raman spectroscopy (SERS). Below, we’ve highlighted some of the most popular articles, according to our readers and subscribers. Happy reading!
Revising Chemistry Education: Teaching Spectroscopy at the High School Level
This article discusses the historical development and educational integration of spectroscopy, highlighting its role in fields from food analysis to space exploration. Valentina Domenici and her team from the Università di Pisa explored how spectroscopy is traditionally taught using Johnstone’s triangle of chemistry education, emphasizing the macroscopic level for high school students. They proposed a didactic sequence tracing the evolution of spectroscopic instruments, linking historical milestones with hands-on activities (1). By combining historical context with laboratory experiments, they aimed in their study to enhance student engagement and understanding of spectroscopy, ultimately bridging historical advancements with modern educational practices (1).
Near-Infrared Spectroscopy in Athletics
With the Paris 2024 Olympics underway, athletics is on the mind of many people around the world. This article is a compilation of some of the latest studies that use spectroscopy to monitor athletic performance (2). Two trends emerge among the studies discussed in this article: one is that wearables technology is currently a hot topic, and another is that muscle oximetry is also a popular subject of interest.
Breaking Boundaries in 3D Biology: The Power of Highly-Multiplexed Raman Imaging
This article discusses the transformative potential of highly multiplexed Raman imaging in three-dimensional (3D) spatial biology, as reviewed by researchers Yingying Li, Yuchen Sun, and Lixue Shi from Fudan University. Traditional imaging technologies fall short in providing the necessary depth and clarity for understanding complex biological interactions (3). Stimulated Raman scattering (SRS) microscopy emerges as a promising alternative, offering high-speed, high-resolution, and noninvasive imaging (3). Despite challenges like improving detectability and expanding imaging colors, advancements in SRS spectroscopy, Raman probes, and computational algorithms are enhancing its capabilities, with significant implications for oncology, neuroscience, and other fields (3).
The Story of ESCA: An Interview with Nobel Prize Winner Kai Siegbahn
In this interview, previously published in European Spectroscopy News, Dave Briggs sat down with 1981 Nobel Prize winner Kai Manne Börje Siegbahn to discuss his career and work in spectroscopy (4). Much of this interview focuses on Siegbahn’s work in nuclear and electron spectroscopy that led to the development of a new spectroscopic technique, called electron spectroscopy for chemical analysis (ESCA) (4).
Breakthroughs in Brain Research: Surface-Enhanced Raman Spectroscopy Paves the Way
This article discusses the potential of surface-enhanced Raman spectroscopy (SERS) in diagnosing brain and central nervous system disorders, particularly in low- and middle-income countries. SERS enhances traditional Raman spectroscopy, addressing its limitations by increasing signal intensity and sensitivity (5). Researchers from Teesside and Newcastle Universities highlight SERS's applications in diagnosing diseases like Alzheimer's, Parkinson's, stroke, and brain cancer, as well as its use in brain surgeries and neurotransmitter detection (5). Despite challenges such as portable device development and data processing complexity, SERS shows promise in advancing brain research and improving diagnostic accuracy through innovations and machine learning integration (5).
(1) Wetzel, W. Revising Chemistry Education: Teaching Spectroscopy at the High School Level. Spectroscopy. Available at: https://www.spectroscopyonline.com/view/revising-chemistry-education-teaching-spectroscopy-at-the-high-school-level (accessed 2024-08-01).
(2) Wetzel, W. Near-Infrared Spectroscopy in Athletics. Spectroscopy. Available at: https://www.spectroscopyonline.com/view/near-infrared-spectroscopy-in-athletics (accessed 2024-08-01).
(3) Workman, Jr., J. Breaking Boundaries in 3D Biology: The Power of Highly-Multiplexed Raman Imaging. Spectroscopy. Available at: https://www.spectroscopyonline.com/view/breaking-boundaries-in-3d-biology-the-power-of-highly-multiplexed-raman-imaging (accessed 2024-08-01).
(4) Michael, I. The Story of ESCA: An Interview with Nobel Prize Winner Kai Siegbahn. Spectroscopy. Available at: https://www.spectroscopyonline.com/view/the-story-of-esca-an-interview-with-nobel-prize-winner-kai-siegbahn (accessed 2024-08-01).
(5) Workman, Jr., J. Breakthroughs in Brain Research: Surface-Enhanced Raman Spectroscopy Paves the Way. Spectroscopy. Available at: https://www.spectroscopyonline.com/view/breakthroughs-in-brain-research-surface-enhanced-raman-spectroscopy-paves-the-way (accessed 2024-08-01).
Advancing Deep Soil Moisture Monitoring with AI-Powered Spectroscopy Drones
July 7th 2025A Virginia Tech study has combined drone-mounted NIR hyperspectral imaging (400 nm to 1100 nm) and AI to estimate soil moisture at root depths with remarkable accuracy, paving the way for smarter irrigation and resilient farming.
Evaluating Microplastic Detection with Fluorescence Microscopy and Raman Spectroscopy
July 2nd 2025A recent study presented a dual-method approach combining confocal micro-Raman spectroscopy and Nile Red-assisted fluorescence microscopy to enhance the accuracy and throughput of microplastics detection in environmental samples.
Machine Learning and Optical Spectroscopy Advance CNS Tumor Diagnostics
July 1st 2025A new review article highlights how researchers in Moscow are integrating machine learning with optical spectroscopy techniques to enhance real-time diagnosis and surgical precision in central nervous system tumor treatment.
AI and Dual-Sensor Spectroscopy Supercharge Antibiotic Fermentation
June 30th 2025Researchers from Chinese universities have developed an AI-powered platform that combines near-infrared (NIR) and Raman spectroscopy for real-time monitoring and control of antibiotic production, boosting efficiency by over 30%.