Surface-enhanced Raman spectroscopy (SERS)

A new diagnostic platform may help detect drug-induced liver injury better. How would this work in real-world clinical settings?

The combination of surface-enhanced Raman spectroscopy (SERS) and digital microfluidics (DMF) might be able to improve detection of liver injury biomarkers.

A recent study showcased a wearable, glove-mounted sensor that can detect trace residues of two cancer drugs on workplace surfaces.

What does the rise of portable and handheld spectroscopic instrumentation tell us?

Top articles published this week include a couple previews of upcoming “Pathways in Spectroscopy” episodes and an inside look at the role spectroscopy is playing in modern agriculture.

In 2025, the vibrational-spectroscopy community saw a convergence of deep learning, advanced simulation, and portable instrumentation that materially changed how spectra are interpreted and applied.

In this study, surface-enhanced Raman spectroscopy (SERS) and solvent extraction were used to detect aconitine (AC) in various complex matrices using gold nanorod substrates. The experimental results demonstrated that ether efficiently extracted AC from soy sauce as an example complex matrix.

Researchers recently developed a nanoscale sensor for rapid detection of GenX in water, enhancing environmental monitoring and safety efforts.

A sweeping review, “Surface-Enhanced Raman Spectroscopy: A Half-Century Historical Perspective” traces the evolution of SERS from its foundational experiments in the 1970s through the nanoscience era and modern high-spatial-resolution techniques.

Top articles published this week include several video interviews from our coverage of the SciX Conference and an inside look at classical correction methods.

In a recent review article, a team of researchers from Shanghai Jiao Tong University explored how to improve the monitoring of drugs and metabolites in biomedical research and clinical settings.

A new study highlights terahertz (THz) metamaterials as a promising non-invasive, highly sensitive technology for improving food safety testing in agriculture.

A research team from Putian University has developed a dual surface-enhanced Raman spectroscopy (SERS) and Fourier transform infrared spectroscopy (FT-IR) approach to reveal detailed molecular changes in E. coli exposed to different antibiotics.

A new review published in Trends in Food Science & Technology highlights how advanced spectroscopy, multidimensional chromatography, artificial intelligence (AI), and novel sensors are improving food safety by enhancing sensitivity, speed, and sustainability in contaminant detection.

Researchers from Shanghai Jiao Tong University are harnessing artificial intelligence to elevate surface-enhanced Raman spectroscopy (SERS) for highly sensitive, multiplexed biomedical analysis, enabling faster diagnostics, imaging, and personalized treatments.

A multinational research team explores Raman spectroscopy's expanding role in medicine and microbiology, revealing its powerful potential in diagnostics, drug analysis, and microbial classification.

In this tutorial article, Yukihiro Ozaki explores the recent advancements and broadening applications of tip-enhanced Raman scattering (TERS), a cutting-edge technique that integrates scanning probe microscopy (SPM) with surface-enhanced Raman scattering (SERS).

Researchers use EC-SERS to reveal the first detailed structural study of hU-II peptide in aqueous solution, paving the way for new drug development.

A new review in TrAC Trends in Analytical Chemistry by Alfred Chin Yen Tay and Liang Wang highlights how machine learning (ML) is transforming surface-enhanced Raman spectroscopy (SERS) into a powerful, clinically viable tool for rapid and accurate medical diagnostics.

Researchers at Harbin Medical University recently developed a SERS-based diagnostic platform that uses DNA-driven “molecular hooks” and AI analysis to enable real-time detection of cardiovascular drugs in blood while eliminating interference from larger biomolecules.

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.

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.

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 explored using surface-enhanced Raman spectroscopy (SERS) to detect β-agonists.