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dc.contributor.authorHanrahan, Niall
dc.contributor.authorLister, Adam
dc.contributor.authorHighmore, Callum
dc.contributor.authorRajith, Leena
dc.contributor.authorAvershina, Ekaterina
dc.contributor.authorAli, Jawad
dc.contributor.authorAhmad, Rafi
dc.contributor.authorWebb, Jeremy
dc.contributor.authorMahajan, Sumeet
dc.date.accessioned2024-04-11T08:26:08Z
dc.date.available2024-04-11T08:26:08Z
dc.date.created2023-04-27T16:45:44Z
dc.date.issued2022
dc.identifier.citationProceedings of SPIE, the International Society for Optical Engineering. 2022, 12203 6-17.en_US
dc.identifier.issn0277-786X
dc.identifier.urihttps://hdl.handle.net/11250/3125998
dc.description.abstractIn 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.en_US
dc.language.isoengen_US
dc.subjectbacterial identificationen_US
dc.subjectRaman spectroscopyen_US
dc.subjectMX-Ramanen_US
dc.subjectSERSen_US
dc.subjectnanoparticle monolayeren_US
dc.titleEnhanced Raman techniques for infection diagnosticsen_US
dc.title.alternativeEnhanced Raman techniques for infection diagnosticsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.subject.nsiVDP::Matematikk og Naturvitenskap: 400::Basale biofag: 470en_US
dc.source.pagenumber6-17en_US
dc.source.volume12203en_US
dc.source.journalProceedings of SPIE, the International Society for Optical Engineeringen_US
dc.identifier.doi10.1117/12.2635324
dc.identifier.cristin2143963
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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