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Silver Nanostar-Based SERS for the Discrimination of Clinically Relevant Acinetobacter baumannii and Klebsiella pneumoniae Species and Clones

The development of rapid, reliable, and low-cost methods that enable discrimination among clinically relevant bacteria is crucial, with emphasis on those listed as WHO Global Priority 1 Critical Pathogens, such as carbapenem-resistant Acinetobacter baumannii and carbapenem-resistant or ESBL-producin...

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Autores principales: de Almeida, Miguel Peixoto, Rodrigues, Carla, Novais, Ângela, Grosso, Filipa, Leopold, Nicolae, Peixe, Luísa, Franco, Ricardo, Pereira, Eulália
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9953856/
https://www.ncbi.nlm.nih.gov/pubmed/36831915
http://dx.doi.org/10.3390/bios13020149
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author de Almeida, Miguel Peixoto
Rodrigues, Carla
Novais, Ângela
Grosso, Filipa
Leopold, Nicolae
Peixe, Luísa
Franco, Ricardo
Pereira, Eulália
author_facet de Almeida, Miguel Peixoto
Rodrigues, Carla
Novais, Ângela
Grosso, Filipa
Leopold, Nicolae
Peixe, Luísa
Franco, Ricardo
Pereira, Eulália
author_sort de Almeida, Miguel Peixoto
collection PubMed
description The development of rapid, reliable, and low-cost methods that enable discrimination among clinically relevant bacteria is crucial, with emphasis on those listed as WHO Global Priority 1 Critical Pathogens, such as carbapenem-resistant Acinetobacter baumannii and carbapenem-resistant or ESBL-producing Klebsiella pneumoniae. To address this problem, we developed and validated a protocol of surface-enhanced Raman spectroscopy (SERS) with silver nanostars for the discrimination of A. baumannii and K. pneumoniae species, and their globally disseminated and clinically relevant antibiotic resistant clones. Isolates were characterized by mixing bacterial colonies with silver nanostars, followed by deposition on filter paper for SERS spectrum acquisition. Spectral data were processed with unsupervised and supervised multivariate data analysis methods, including principal component analysis (PCA) and partial least-squares discriminant analysis (PLSDA), respectively. Our proposed SERS procedure using silver nanostars adsorbed to the bacteria, followed by multivariate data analysis, enabled differentiation between and within species. This pilot study demonstrates the potential of SERS for the rapid discrimination of clinically relevant A. baumannii and K. pneumoniae species and clones, displaying several advantages such as the ease of silver nanostars synthesis and the possible use of a handheld spectrometer, which makes this approach ideal for point-of-care applications.
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spelling pubmed-99538562023-02-25 Silver Nanostar-Based SERS for the Discrimination of Clinically Relevant Acinetobacter baumannii and Klebsiella pneumoniae Species and Clones de Almeida, Miguel Peixoto Rodrigues, Carla Novais, Ângela Grosso, Filipa Leopold, Nicolae Peixe, Luísa Franco, Ricardo Pereira, Eulália Biosensors (Basel) Article The development of rapid, reliable, and low-cost methods that enable discrimination among clinically relevant bacteria is crucial, with emphasis on those listed as WHO Global Priority 1 Critical Pathogens, such as carbapenem-resistant Acinetobacter baumannii and carbapenem-resistant or ESBL-producing Klebsiella pneumoniae. To address this problem, we developed and validated a protocol of surface-enhanced Raman spectroscopy (SERS) with silver nanostars for the discrimination of A. baumannii and K. pneumoniae species, and their globally disseminated and clinically relevant antibiotic resistant clones. Isolates were characterized by mixing bacterial colonies with silver nanostars, followed by deposition on filter paper for SERS spectrum acquisition. Spectral data were processed with unsupervised and supervised multivariate data analysis methods, including principal component analysis (PCA) and partial least-squares discriminant analysis (PLSDA), respectively. Our proposed SERS procedure using silver nanostars adsorbed to the bacteria, followed by multivariate data analysis, enabled differentiation between and within species. This pilot study demonstrates the potential of SERS for the rapid discrimination of clinically relevant A. baumannii and K. pneumoniae species and clones, displaying several advantages such as the ease of silver nanostars synthesis and the possible use of a handheld spectrometer, which makes this approach ideal for point-of-care applications. MDPI 2023-01-17 /pmc/articles/PMC9953856/ /pubmed/36831915 http://dx.doi.org/10.3390/bios13020149 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
de Almeida, Miguel Peixoto
Rodrigues, Carla
Novais, Ângela
Grosso, Filipa
Leopold, Nicolae
Peixe, Luísa
Franco, Ricardo
Pereira, Eulália
Silver Nanostar-Based SERS for the Discrimination of Clinically Relevant Acinetobacter baumannii and Klebsiella pneumoniae Species and Clones
title Silver Nanostar-Based SERS for the Discrimination of Clinically Relevant Acinetobacter baumannii and Klebsiella pneumoniae Species and Clones
title_full Silver Nanostar-Based SERS for the Discrimination of Clinically Relevant Acinetobacter baumannii and Klebsiella pneumoniae Species and Clones
title_fullStr Silver Nanostar-Based SERS for the Discrimination of Clinically Relevant Acinetobacter baumannii and Klebsiella pneumoniae Species and Clones
title_full_unstemmed Silver Nanostar-Based SERS for the Discrimination of Clinically Relevant Acinetobacter baumannii and Klebsiella pneumoniae Species and Clones
title_short Silver Nanostar-Based SERS for the Discrimination of Clinically Relevant Acinetobacter baumannii and Klebsiella pneumoniae Species and Clones
title_sort silver nanostar-based sers for the discrimination of clinically relevant acinetobacter baumannii and klebsiella pneumoniae species and clones
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9953856/
https://www.ncbi.nlm.nih.gov/pubmed/36831915
http://dx.doi.org/10.3390/bios13020149
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