A recent study highlights how anisotropic nanostructures can improve surface-enhanced Raman spectroscopy (SERS) analysis of cultural artifacts, including artwork.
A recent study conducted by researchers at Sapienza University of Rome investigated how to use anisotropic nanostructures can improve material characterization of cultural artifacts, including artwork. This review article was published in the Journal of Cultural Heritage, and it highlights the growing use and advancements in Raman spectroscopy and SERS in analyzing cultural artifacts (1). Anisotropic nanostructures are gold or silver nanoparticles with asymmetric shapes, used to enhance the Raman signal by concentrating the electromagnetic field at the particle tips or edges, leading to highly sensitive molecular detection of sample spectra.
Living Room Interior with Artistic Decor. Generated with AI. | Image Credit: © Helen Marlen - stock.adobe.com
Cultural heritage artifacts are often hundreds (and even thousands) of years old. As a result, they are often fragile, requiring careful handling to not destroy them. Analytical techniques equally need to be as non-destructive. As a result, Raman spectroscopy and SERS have routinely been used in this space because they are non-destructive techniques, which means they do not destroy the sample when being used to conduct the analysis (1–3).
However, Raman spectroscopy does have limitations. Fluorescence interference is a big problem (1). SERS addresses these concerns by utilizing metallic nanostructures, which significantly enhance the Raman signal while mitigating fluorescence interference.
Metallic nanoparticles have been used effectively in clinical applications such as for drug delivery systems, but they also have a role to play in cultural heritage studies. Metallic nanoparticles have properties finely tuned by variations in shape, size, and composition (1). In this review article, the authors discuss how anisotropic nanostructures are better than their spherical counterparts, and how they amplify SERS hotspots and intensify plasmonic bands (1). By performing these two functions, they help detect small amounts of compounds that would have normally remained undetectable (1).
To understand why metallic nanoparticles are a significant innovation in this application, it is important to understand how the improve on traditional metal nanoparticles. Unlike traditional metal nanoparticles, which require high concentrations to achieve significant signal enhancement, highly anisotropic nanostructures naturally generate a broader distribution of hotspots, making them effective for the ultra-sensitive detection of cultural heritage materials (1). This intrinsic property allows researchers to analyze dyes and pigments at trace levels (1). Because pigments and dyes often tell historians and cultural heritage professionals details about the civilization the artifact originated from, it is important that analytical techniques are able to analyze these pigments at the lowest levels possible.
Despite these advantages, the application of anisotropic nanostructures in cultural heritage SERS analyses remains relatively unexplored. According to the review, only a handful of studies have investigated the potential of these nanomaterials in this context (1).
There are also a couple key limitations in applying metallic nanoparticles for this purpose. Traditional SERS techniques often require direct contact with the artifact, which is not always feasible when dealing with rare or fragile objects. That is why the review article discusses recent advancements in micro-invasive sampling methods, which are thought to be a potential solution to this problem (1).
Another critical limitation of anisotropic nanostructures is their complex synthesis. Producing these nanomaterials with high yields and stability remains an ongoing challenge because synthesis protocols are often intricate and require precise control over reaction conditions (1). The authors write that work has been done to improve yields of anisotropic particles, such as nanocubes, nanotriangles, and nanorods, and the results have led to significant improvements (1). These refinements bring researchers closer to optimizing SERS applications in the field of cultural heritage.
Moving forward, continued research into the synthesis, stability, and scalability of anisotropic nanostructures will be crucial in fully harnessing their capabilities. Additionally, integrating SERS with complementary techniques—such as optical microscopy and fiber optics—may further enhance its applicability, allowing for even more precise and non-invasive analyses (1).
Tip-enhanced Raman Scattering using a Chemically-modified Tip
June 9th 2025In 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). TERS enables highly localized chemical analysis at the nano- to subnano-scale, achieving spatial resolution well beyond the diffraction limit of light. Ozaki highlights the versatility of TERS in various experimental environments—ranging from ambient air to ultrahigh vacuum and electrochemical systems—and its powerful utility in fields such as single-molecule detection, biomolecular mechanism studies, nanomaterial characterization, and high-resolution imaging.
Machine Learning Accelerates Clinical Progress of SERS Technology
May 22nd 2025A 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.
New SERS Platform Enhances Real-Time Detection of Cardiovascular Drugs in Blood
May 13th 2025Researchers 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.
The Rise of Smart Skin Using AI-Powered SERS Wearable Sensors for Real-Time Health Monitoring
May 5th 2025A 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.
AI-Powered SERS Spectroscopy Breakthrough Boosts Safety of Medicinal Food Products
April 16th 2025A 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.