Characterizing planar SERS substrates: unraveling the link between physical characteristics and performance metrics

7Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Abstract Surface-enhanced Raman spectroscopy (SERS) is a powerful optical sensing technique used in various applications, including medicine, microbiology, and environmental analysis. Planar SERS substrates are of particular interest due to their ease of integration in lab-on-chips and better reproducibility compared to colloidal SERS. The performance of these SERS substrates is quantified using metrics such as enhancement factor, sensitivity, and reproducibility. However, there is yet to be a consensus on how to practically compare and interpret such metrics in publications and experiments. These performance metrics are strongly influenced by the nanostructures’ material, architecture, element sizes, as well as the circumstances surrounding the experiments. Understanding the effect of these characteristics on the SERS substrates’ performance could not only enable a better performance but also direct their development for different applications. Thus, we prepared a planar SERS-substrate characterization methodology to explore the correlation between the nanostructures’ physical characteristics and the performance metrics through coordinate-transformed spectroscopic measurements over structure-characterized areas. Seven commercial SERS substrates, with various surface architectures fabricated using different fabrication technologies, were studied using this benchmarking methodology. The results demonstrated how this methodology can indicate a SERS substrate’s suitability for a specific application, thus, guiding the substrate’s further adaptations or development.

Cite

CITATION STYLE

APA

Feizpour, M., Liu, Q., Van der Donck, T., Thienpont, H., Meulebroeck, W., & Ottevaere, H. (2024). Characterizing planar SERS substrates: unraveling the link between physical characteristics and performance metrics. JPhys Photonics, 6(2). https://doi.org/10.1088/2515-7647/ad2528

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free