Surface-Enhanced Raman Spectroscopy for Bacterial Detection

Surface-Enhanced Raman Spectroscopy (SERS) harnesses the dramatic signal amplification afforded by plasmonic nanostructures to generate unique molecular fingerprints of bacterial cells and their metabolites. By exploiting the strong electromagnetic fields at the surfaces of noble-metal nanoparticles or nanostructured films, SERS can detect low numbers of bacterial cells with high specificity and without labelling. The approach accommodates both label-free strategies, in which intrinsic biochemical components such as proteins, lipids and nucleic acids are probed directly, and label-based methods, employing reporter molecules tethered to antibodies or DNA probes for targeted recognition. Rapid acquisition times, minimal sample preparation and compatibility with microfluidic devices have driven applications in clinical diagnostics, food safety and environmental monitoring. Moreover, the sensitivity of SERS to subtle biochemical changes underpins emerging assays for antibiotic susceptibility testing, enabling phenotypic responses to be monitored within hours rather than days. Recent advances in substrate fabrication, data-processing algorithms and integration with separation platforms continue to broaden the practical scope of SERS for bacterial analysis worldwide.

Research from Nature Portfolio

Recent studies have demonstrated the utility of SERS for rapid determination of antibiotic resistance and susceptibility in pathogenic bacteria. One investigation revealed that specific SERS spectral biomarkers of Staphylococcus aureus and Escherichia coli exhibit marked intensity changes within two hours of antibiotic exposure, enabling swift phenotypic antibiotic susceptibility testing comparable to conventional methods. Another effort combined label-free SERS with a deep learning framework, employing stacked autoencoders to distinguish methicillin-resistant from methicillin-sensitive strains of S. aureus. By learning subtle band-intensity variations directly from raw spectral data, the neural network achieved classification accuracies exceeding 97 per cent, underscoring the power of integrating advanced data analytics with SERS for robust bacterial identification and resistance profiling.

Surface-Enhanced Raman Spectroscopy for Bacterial Detection publication trend

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

Technical terms

Raman Spectroscopy: A vibrational spectroscopic technique that probes molecular bonds by inelastic scattering of monochromatic light.

Surface-Enhanced Raman Spectroscopy (SERS): An extension of Raman spectroscopy where plasmonic nanostructures amplify Raman signals by orders of magnitude.

Label-Free Detection: A SERS approach that analyses intrinsic molecular vibrations of bacterial components without external tags.

Label-Based Detection: A strategy using Raman-active reporter molecules bound to bacteria via antibodies or nucleic acids to enhance specificity.

Plasmonic Substrates: Nanostructured metals (typically gold or silver) engineered to support localized surface-plasmon resonances for signal enhancement.

Deep Learning Algorithms: Computational methods, such as autoencoders or neural networks, that learn discriminative features from complex spectral data for classification tasks.

References

1. Rapid bacterial antibiotic susceptibility test based on simple surface-enhanced Raman spectroscopic biomarkers. Scientific Reports (2016).
2. Drug-resistant Staphylococcus aureus bacteria detection by combining surface-enhanced Raman spectroscopy (SERS) and deep learning techniques. Scientific Reports (2021).
3. Label‐free surface‐enhanced Raman spectroscopy coupled with machine learning algorithms in pathogenic microbial identification: Current trends, challenges, and perspectives. Interdisciplinary Medicine (2024).
4. Highly sensitive SERS platform for pathogen analysis by cyclic DNA nanostructure@AuNP tags and cascade primer exchange reaction. Journal of Nanobiotechnology (2024).
5. Bacteria Detection: From Powerful SERS to Its Advanced Compatible Techniques. Advanced Science (2020).