Silver Nanostar-Based SERS for the Discrimination of Clinically Relevant <i>Acinetobacter baumannii</i> and <i>Klebsiella pneumoniae</i> 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 <i>Acinetobacter baumannii</i> and carbapenem-resista...
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| Format: | Article |
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MDPI AG
2023-01-01
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| Series: | Biosensors |
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| Online Access: | https://www.mdpi.com/2079-6374/13/2/149 |
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| author | Miguel Peixoto de Almeida Carla Rodrigues Ângela Novais Filipa Grosso Nicolae Leopold Luísa Peixe Ricardo Franco Eulália Pereira |
| author_facet | Miguel Peixoto de Almeida Carla Rodrigues Ângela Novais Filipa Grosso Nicolae Leopold Luísa Peixe Ricardo Franco Eulália Pereira |
| author_sort | Miguel Peixoto de Almeida |
| collection | DOAJ |
| 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 <i>Acinetobacter baumannii</i> and carbapenem-resistant or ESBL-producing <i>Klebsiella pneumoniae</i>. To address this problem, we developed and validated a protocol of surface-enhanced Raman spectroscopy (SERS) with silver nanostars for the discrimination of <i>A. baumannii</i> and <i>K. pneumoniae</i> 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 <i>A. baumannii</i> and <i>K. pneumoniae</i> 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. |
| first_indexed | 2024-03-11T09:05:43Z |
| format | Article |
| id | doaj.art-27dbf15d3fbc454d907827231d1472c9 |
| institution | Directory Open Access Journal |
| issn | 2079-6374 |
| language | English |
| last_indexed | 2024-03-11T09:05:43Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Biosensors |
| spelling | doaj.art-27dbf15d3fbc454d907827231d1472c92023-11-16T19:24:43ZengMDPI AGBiosensors2079-63742023-01-0113214910.3390/bios13020149Silver Nanostar-Based SERS for the Discrimination of Clinically Relevant <i>Acinetobacter baumannii</i> and <i>Klebsiella pneumoniae</i> Species and ClonesMiguel Peixoto de Almeida0Carla Rodrigues1Ângela Novais2Filipa Grosso3Nicolae Leopold4Luísa Peixe5Ricardo Franco6Eulália Pereira7LAQV/REQUIMTE, Departamento de Química e Bioquímica, Faculdade de Ciências, Universidade do Porto, 4169-007 Porto, PortugalUCIBIO—Applied Molecular Biosciences Unit, Department of Biological Sciences, Laboratory of Microbiology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, PortugalUCIBIO—Applied Molecular Biosciences Unit, Department of Biological Sciences, Laboratory of Microbiology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, PortugalUCIBIO—Applied Molecular Biosciences Unit, Department of Biological Sciences, Laboratory of Microbiology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, PortugalFaculty of Physics, Babeş-Bolyai University, 400084 Cluj-Napoca, RomaniaUCIBIO—Applied Molecular Biosciences Unit, Department of Biological Sciences, Laboratory of Microbiology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, PortugalAssociate Laboratory i4HB—Institute for Health and Bioeconomy, School of Science and Technology, Universidade NOVA de Lisboa, 2819-516 Caparica, PortugalLAQV/REQUIMTE, Departamento de Química e Bioquímica, Faculdade de Ciências, Universidade do Porto, 4169-007 Porto, PortugalThe 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 <i>Acinetobacter baumannii</i> and carbapenem-resistant or ESBL-producing <i>Klebsiella pneumoniae</i>. To address this problem, we developed and validated a protocol of surface-enhanced Raman spectroscopy (SERS) with silver nanostars for the discrimination of <i>A. baumannii</i> and <i>K. pneumoniae</i> 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 <i>A. baumannii</i> and <i>K. pneumoniae</i> 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.https://www.mdpi.com/2079-6374/13/2/149vibrational spectroscopysurface-enhanced Raman spectroscopySERSsilver nanostarsbacterial differentiationclones |
| spellingShingle | Miguel Peixoto de Almeida Carla Rodrigues Ângela Novais Filipa Grosso Nicolae Leopold Luísa Peixe Ricardo Franco Eulália Pereira Silver Nanostar-Based SERS for the Discrimination of Clinically Relevant <i>Acinetobacter baumannii</i> and <i>Klebsiella pneumoniae</i> Species and Clones Biosensors vibrational spectroscopy surface-enhanced Raman spectroscopy SERS silver nanostars bacterial differentiation clones |
| title | Silver Nanostar-Based SERS for the Discrimination of Clinically Relevant <i>Acinetobacter baumannii</i> and <i>Klebsiella pneumoniae</i> Species and Clones |
| title_full | Silver Nanostar-Based SERS for the Discrimination of Clinically Relevant <i>Acinetobacter baumannii</i> and <i>Klebsiella pneumoniae</i> Species and Clones |
| title_fullStr | Silver Nanostar-Based SERS for the Discrimination of Clinically Relevant <i>Acinetobacter baumannii</i> and <i>Klebsiella pneumoniae</i> Species and Clones |
| title_full_unstemmed | Silver Nanostar-Based SERS for the Discrimination of Clinically Relevant <i>Acinetobacter baumannii</i> and <i>Klebsiella pneumoniae</i> Species and Clones |
| title_short | Silver Nanostar-Based SERS for the Discrimination of Clinically Relevant <i>Acinetobacter baumannii</i> and <i>Klebsiella pneumoniae</i> Species and Clones |
| title_sort | silver nanostar based sers for the discrimination of clinically relevant i acinetobacter baumannii i and i klebsiella pneumoniae i species and clones |
| topic | vibrational spectroscopy surface-enhanced Raman spectroscopy SERS silver nanostars bacterial differentiation clones |
| url | https://www.mdpi.com/2079-6374/13/2/149 |
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