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

2023-01-17Artigo científico Acesso aberto
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dc.contributor.authorde Almeida, Miguel Peixoto
dc.contributor.authorRodrigues, Carla
dc.contributor.authorNovais, Ângela
dc.contributor.authorGrosso, Filipa
dc.contributor.authorLeopold, Nicolae
dc.contributor.authorPeixe, Luísa
dc.contributor.authorFranco, Ricardo
dc.contributor.authorPereira, Eulália
dc.contributor.institutionUCIBIO - Applied Molecular Biosciences Unit
dc.contributor.institutionDQ - Departamento de Química
dc.contributor.pblMDPI - Multidisciplinary Digital Publishing Institute
dc.date.accessioned2023-09-26T22:22:25Z
dc.date.available2023-09-26T22:22:25Z
dc.date.issued2023-01-17
dc.descriptionAnd project HEALTH-UNORTE I&D&I NORTE-01-0145-FEDER-000039 cofinanced by European Regional Development Fund (ERDF), through the NORTE 2020 (Programa Operacional Regional do Norte 2014/2020). AN was supported by Portuguese funds through FCT in the context of the CEEC program (2021.02252.CEECIND/CP1662/CT0009). FG was supported by Portuguese funds through FCT in the context of the transitional norm (DL57/2016/CP1346/CT0034). NL acknowledges support from a grant of the Romanian Ministry of Research and Innovation, CCCDI-UEFISCDI, project number PN-III-P4-ID-PCE-2020-1292, within PNCDI III. Publisher Copyright: © 2023 by the authors.
dc.description.abstractThe 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.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent11
dc.format.extent2941714
dc.identifier.doi10.3390/bios13020149
dc.identifier.issn2079-6374
dc.identifier.otherPURE: 72486060
dc.identifier.otherPURE UUID: 7bf6f7a2-016f-4335-b8cc-e12a38c9a4bc
dc.identifier.otherScopus: 85148963566
dc.identifier.otherWOS: 000938915500001
dc.identifier.otherPubMed: 36831915
dc.identifier.otherPubMedCentral: PMC9953856
dc.identifier.urihttp://hdl.handle.net/10362/158341
dc.identifier.urlhttps://www.scopus.com/pages/publications/85148963566
dc.language.isoeng
dc.peerreviewedyes
dc.relationFunding Information: info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04378%2F2020/PT
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04378%2F2020/PT
dc.relationApplied Molecular Biosciences Unit
dc.relationAssociated Laboratory for Green Chemistry - Clean Technologies and Processes
dc.relationAssociated Laboratory for Green Chemistry - Clean Technologies and Processes
dc.relationInstitute for Health and Bioeconomy
dc.relationDeciphering surface glycans signatures of multidrug resistant bacterial pathogens
dc.relationinfo:eu-repo/grantAgreement/FCT/CEEC IND4ed/2021.02252.CEECIND%2FCP1662%2FCT0009/PT
dc.subjectbacterial differentiation
dc.subjectchemometrics
dc.subjectclones
dc.subjectcritical pathogens
dc.subjectSERS
dc.subjectsilver nanostars
dc.subjectsurface-enhanced Raman spectroscopy
dc.subjectvibrational spectroscopy
dc.subjectAnalytical Chemistry
dc.subjectBiotechnology
dc.subjectBiomedical Engineering
dc.subjectInstrumentation
dc.subjectEngineering (miscellaneous)
dc.subjectClinical Biochemistry
dc.subjectSDG 3 - Good Health and Well-being
dc.titleSilver Nanostar-Based SERS for the Discrimination of Clinically Relevant Acinetobacter baumannii and Klebsiella pneumoniae Species and Clonesen
dc.typejournal article
degois.publication.issue2
degois.publication.titleBiosensors
degois.publication.volume13
dspace.entity.typePublication
oaire.awardNumberUIDB/04378/2020
oaire.awardNumberUIDB/50006/2020
oaire.awardNumberUIDP/50006/2020
oaire.awardNumberLA/P/0140/2020
oaire.awardNumber2021.02252.CEECIND/CP1662/CT0009
oaire.awardTitleApplied Molecular Biosciences Unit
oaire.awardTitleAssociated Laboratory for Green Chemistry - Clean Technologies and Processes
oaire.awardTitleAssociated Laboratory for Green Chemistry - Clean Technologies and Processes
oaire.awardTitleInstitute for Health and Bioeconomy
oaire.awardTitleDeciphering surface glycans signatures of multidrug resistant bacterial pathogens
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04378%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50006%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F50006%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0140%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/CEEC IND4ed/2021.02252.CEECIND%2FCP1662%2FCT0009/PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStreamCEEC IND4ed
project.funder.identifierhttp://doi.org/10.13039/501100001871
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project.funder.nameFundação para a Ciência e a Tecnologia
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