| Issue |
EPJ Web Conf.
Volume 335, 2025
EOS Annual Meeting (EOSAM 2025)
|
|
|---|---|---|
| Article Number | 05017 | |
| Number of page(s) | 2 | |
| Section | Topical Meeting - Nanophotonics | |
| DOI | https://doi.org/10.1051/epjconf/202533505017 | |
| Published online | 22 September 2025 | |
https://doi.org/10.1051/epjconf/202533505017
Single-protein dynamics revealed by meta-surface-enhanced Raman spectroscopy
1 Faculty of Science and Technology, MESA+ Institute for Nanotechnology, University of Twente, Enschede, 7522 NB, The Netherlands.
2 Faculty Of Sciences, Department Of Physics, Department Of General Physics, Marmara University, Istanbul, 34722, Türkiye.
3 Cavendish Laboratory, University of Cambridge, Cambridge, CB30HE, UK.
Published online: 22 September 2025
Abstract
Probing single-protein dynamics at the molecular level is crucial for understanding conformational changes and functional mechanisms. Surface-enhanced Raman spectroscopy (SERS) offers a promising label-free approach to study protein. However, traditional SERS substrates face challenges due to the large size of proteins that are too large to fit in conventional hotspots. Here, we demonstrate that coupled plasmonic nanocavities enhance the Raman scattering up to 108 in an unconfined area. We harness the enhanced fields to reveal the dynamics of a single protein by observing time-dependent changes in the Raman spectrum, which is a unique probe of the secondary structure of the protein. We study the effect of the pH and the surface charge of the substrate on the conformation of a single protein of bovine serum albumin (BSA). The dominant secondary structure of BSA is α-helix at pH 7, while at pH 3 and 10, more β sheet and random structure are observed. We use principal component analysis to classify the proteins on the basis of their secondary structure. This work establishes a new possibility of studying large biomolecules and proteins crucial for biomedical applications and understanding the biological functions of proteins and the origin of diseases.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

