Surface-Enhanced Raman Spectroscopy Applications in Nanomaterial Detection

Surface-enhanced Raman spectroscopy (SERS) exploits the intense electromagnetic fields generated at nanostructured metal surfaces to amplify Raman signals of adsorbed molecules by several orders of magnitude. Over the past decade, advances in substrate engineering, nanoplasmonic design and data-driven analysis have elevated SERS from a laboratory curiosity to a versatile detection platform for chemical, biological and environmental targets. Precisely tuned “hot spots” formed at nanogaps, sharp tips or three-dimensional webs concentrate light and enable single-molecule sensitivity under ambient conditions. Integration with machine-learning frameworks has further improved the reliability of spectral identification and quantification, even in complex mixtures. Contemporary work spans from fundamental studies of plasmonic field distributions to real-world applications such as food-safety screening, medical diagnostics and trace-level pollutant monitoring. By uniting materials science, computational methods and surface chemistry, SERS continues to establish itself as a global reference technique for ultrasensitive and nondestructive analysis of nanomaterials and molecules in diverse matrices.

Research from Nature Portfolio

Recent studies have demonstrated a predictive SERS-based taxonomy framework for untargeted structural elucidation of epimeric cerebrosides. By functionalising metal-nanoparticle substrates with selective capture ligands, researchers obtained epimer-specific SERS fingerprints and isolated key spectral features corresponding to distinct structural motifs. A machine-learning pipeline achieved over 90 % accuracy in identifying and quantifying multiple cerebroside isomers across concentrations from 10⁻⁴ to 10⁻¹⁰ M, paving the way for generalisable workflows in lipidomics. Foundational work on graphene-dendrimer-stabilised silver nanoparticles established robust SERS substrates for detection of methimazole with a detection limit in the picomolar range. Computational assignment of Raman bands via density functional theory confirmed the nature of molecule–substrate interactions and guided future substrate optimisation strategies.

Surface-Enhanced Raman Spectroscopy Applications in Nanomaterial Detection publication trend

The graph below shows the total number of articles in surface-enhanced raman spectroscopy applications in nanomaterial detection across all publications each year (not limited to Nature Index journals).

Technical terms

Surface-enhanced Raman spectroscopy (SERS): A technique that amplifies Raman scattering signals by exploiting plasmonic resonances on nanostructured metal surfaces.

Hot spot: A nanoscale region of highly concentrated electromagnetic field, often located at metal nanoparticle junctions or sharp features, critical for signal enhancement.

Substrate: A patterned or functionalised surface—commonly composed of noble metal nanoparticles or nanostructures—used to generate plasmonic enhancement in SERS experiments.

Limit of detection (LOD): The lowest concentration of an analyte that can be reliably distinguished from a blank measurement under defined conditions.

Aptasensor: A biosensing device that employs nucleic acid aptamers as molecular recognition elements to confer high selectivity toward target analytes.

Nanoplasmonics: The study of light–matter interactions at the nanoscale in metal structures, where collective oscillations of conduction electrons (plasmons) can be excited and tuned for applications such as sensing and spectroscopy.

References

1. Forward-predictive SERS-based chemical taxonomy for untargeted structural elucidation of epimeric cerebrosides. Nature Communications (2024).
2. Graphene Dendrimer-stabilized silver nanoparticles for detection of methimazole using Surface-enhanced Raman scattering with computational assignment. Scientific Reports (2016).
3. Flexible 3D Plasmonic Web Enables Remote Surface Enhanced Raman Spectroscopy. Advanced Science (2024).
4. Advances in flexible surface-enhanced Raman scattering (SERS) substrates for nondestructive food detection: Fundamentals and recent applications. Trends in Food Science & Technology (2021).
5. Ti3C2Tx MXenes loaded with Au nanoparticle dimers as a surface-enhanced Raman scattering aptasensor for AFB1 detection. Food Chemistry (2021).