Enhanced Raman techniques for infection diagnostics
Hanrahan, Niall; Lister, Adam; Highmore, Callum; Rajith, Leena; Avershina, Ekaterina; Ali, Jawad; Ahmad, Rafi; Webb, Jeremy; Mahajan, Sumeet
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Date
2022Metadata
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Original version
Proceedings of SPIE, the International Society for Optical Engineering. 2022, 12203 6-17. 10.1117/12.2635324Abstract
In this paper we describe our recent work in multi-excitation surface enhanced Raman spectroscopy
(MX-SERS), and its application for robust strain-level bacteria identification. The development of MX-SERS follows directly from our previous work in rapid bacterial identification using multiexcitation Raman spectroscopy (MX-Raman), which enabled highly accurate (up to 99.75%) strainlevel distinction of bacteria, including antibiotic resistant strains of bacteria and from within complex media. In this work we use the strong wavelength dependence of both the Raman scattering crosssection and the surface plasmon to demonstrate a novel capability in bacteria identification. Compared to MX-Raman, MX-SERS has up to 8x faster data acquisition speed as well as up to 4000x lower laser power incident on the sample. Furthermore, we fabricate SERS-active substrates with a simple and low-cost fabrication method that can be adapted to fit a chosen wavelength regime. This combination of strain-level sensitivity and high-speed detection, combined with a low-cost SERS substrate, has strong potential applications in clinical diagnostics, and could be integrated within a real-world pathogen detection workflow.
This presents new capabilities in label-free bacterial detection including novel culture-free
investigation capabilities, and an improved methodology for sample handling with minimal
preparation and processing.