Rapid uropathogen identification using surface enhanced Raman spectroscopy active filters

Abstract Urinary tract infection is one of the most common bacterial infections leading to increased morbidity, mortality and societal costs. Current diagnostics exacerbate this problem due to an inability to provide timely pathogen identification. Surface enhanced Raman spectroscopy (SERS) has the...

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Autores principales:	Simon D. Dryden, Salzitsa Anastasova, Giovanni Satta, Alex J. Thompson, Daniel R. Leff, Ara Darzi
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/77be74fc3a4f499db43852898daad0af
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spelling	oai:doaj.org-article:77be74fc3a4f499db43852898daad0af2021-12-02T18:27:48ZRapid uropathogen identification using surface enhanced Raman spectroscopy active filters10.1038/s41598-021-88026-92045-2322https://doaj.org/article/77be74fc3a4f499db43852898daad0af2021-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-88026-9https://doaj.org/toc/2045-2322Abstract Urinary tract infection is one of the most common bacterial infections leading to increased morbidity, mortality and societal costs. Current diagnostics exacerbate this problem due to an inability to provide timely pathogen identification. Surface enhanced Raman spectroscopy (SERS) has the potential to overcome these issues by providing immediate bacterial classification. To date, achieving accurate classification has required technically complicated processes to capture pathogens, which has precluded the integration of SERS into rapid diagnostics. This work demonstrates that gold-coated membrane filters capture and aggregate bacteria, separating them from urine, while also providing Raman signal enhancement. An optimal gold coating thickness of 50 nm was demonstrated, and the diagnostic performance of the SERS-active filters was assessed using phantom urine infection samples at clinically relevant concentrations (105 CFU/ml). Infected and uninfected (control) samples were identified with an accuracy of 91.1%. Amongst infected samples only, classification of three bacteria (Escherichia coli, Enterococcus faecalis, Klebsiella pneumoniae) was achieved at a rate of 91.6%.Simon D. DrydenSalzitsa AnastasovaGiovanni SattaAlex J. ThompsonDaniel R. LeffAra DarziNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Simon D. Dryden Salzitsa Anastasova Giovanni Satta Alex J. Thompson Daniel R. Leff Ara Darzi Rapid uropathogen identification using surface enhanced Raman spectroscopy active filters
description	Abstract Urinary tract infection is one of the most common bacterial infections leading to increased morbidity, mortality and societal costs. Current diagnostics exacerbate this problem due to an inability to provide timely pathogen identification. Surface enhanced Raman spectroscopy (SERS) has the potential to overcome these issues by providing immediate bacterial classification. To date, achieving accurate classification has required technically complicated processes to capture pathogens, which has precluded the integration of SERS into rapid diagnostics. This work demonstrates that gold-coated membrane filters capture and aggregate bacteria, separating them from urine, while also providing Raman signal enhancement. An optimal gold coating thickness of 50 nm was demonstrated, and the diagnostic performance of the SERS-active filters was assessed using phantom urine infection samples at clinically relevant concentrations (105 CFU/ml). Infected and uninfected (control) samples were identified with an accuracy of 91.1%. Amongst infected samples only, classification of three bacteria (Escherichia coli, Enterococcus faecalis, Klebsiella pneumoniae) was achieved at a rate of 91.6%.
format	article
author	Simon D. Dryden Salzitsa Anastasova Giovanni Satta Alex J. Thompson Daniel R. Leff Ara Darzi
author_facet	Simon D. Dryden Salzitsa Anastasova Giovanni Satta Alex J. Thompson Daniel R. Leff Ara Darzi
author_sort	Simon D. Dryden
title	Rapid uropathogen identification using surface enhanced Raman spectroscopy active filters
title_short	Rapid uropathogen identification using surface enhanced Raman spectroscopy active filters
title_full	Rapid uropathogen identification using surface enhanced Raman spectroscopy active filters
title_fullStr	Rapid uropathogen identification using surface enhanced Raman spectroscopy active filters
title_full_unstemmed	Rapid uropathogen identification using surface enhanced Raman spectroscopy active filters
title_sort	rapid uropathogen identification using surface enhanced raman spectroscopy active filters
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/77be74fc3a4f499db43852898daad0af
work_keys_str_mv	AT simonddryden rapiduropathogenidentificationusingsurfaceenhancedramanspectroscopyactivefilters AT salzitsaanastasova rapiduropathogenidentificationusingsurfaceenhancedramanspectroscopyactivefilters AT giovannisatta rapiduropathogenidentificationusingsurfaceenhancedramanspectroscopyactivefilters AT alexjthompson rapiduropathogenidentificationusingsurfaceenhancedramanspectroscopyactivefilters AT danielrleff rapiduropathogenidentificationusingsurfaceenhancedramanspectroscopyactivefilters AT aradarzi rapiduropathogenidentificationusingsurfaceenhancedramanspectroscopyactivefilters
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Rapid uropathogen identification using surface enhanced Raman spectroscopy active filters

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