Rapid identification of bacteria and yeast using surface-enhanced Raman scattering
Surface‐enhanced Raman scattering (SERS) is a powerful technique used for obtaining chemical information about the molecules and molecular structures in the vicinity of surfaces of noble metal nanostructures. The chemical information acquired through SERS can be used for not only characterization bu...
Gespeichert in:
Veröffentlicht in: | Surface and interface analysis 2010-06, Vol.42 (6-7), p.462-465 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 465 |
---|---|
container_issue | 6-7 |
container_start_page | 462 |
container_title | Surface and interface analysis |
container_volume | 42 |
creator | Culha, Mustafa Kahraman, Mehmet Çam, Dilek Sayın, Ismail Keseroǧlu, Kemal |
description | Surface‐enhanced Raman scattering (SERS) is a powerful technique used for obtaining chemical information about the molecules and molecular structures in the vicinity of surfaces of noble metal nanostructures. The chemical information acquired through SERS can be used for not only characterization but also detection and identification. In a clinical setting, rapid and accurate identification of micro‐organisms is critical. The biochemical information collected through the SERS spectra can be used for quick identification of micro‐organisms. The concentrated silver colloidal nanoparticles (AgNPs) are simply mixed with micro‐organisms after culturing, and their SERS spectra acquired. Since the nanoparticles are in contact with the cell wall of the micro‐organism, the biochemical information obtained is mostly assumed as originating from the cell wall which the AgNPs are in contact with, and is considered as the ‘fingerprint’ of the micro‐organism, which can be used for the identification. Since a SERS spectrum can be acquired only in seconds, the obtained spectrum can be used for fast micro‐organism identification. The reproducibility of the spectra obtained from micro‐organisms is first tested, and then the obtained spectra are used for the goal. The identification of micro‐organisms in mixtures is also attempted in model mixtures. It is demonstrated that the SERS can be used for fast and accurate identification of micro‐organisms such as bacteria and yeast, even in their mixtures. Four bacteria, i.e. Shigella sonnei, Erwinia amylovara, Proteus vulgaris and DH5α (E. coli strain), and three yeast cells, i.e. Hyphopichia burtonii, Candida parapsilosis and Filobasidiella neoformans are used as model micro‐organisms in the study. Copyright © 2010 John Wiley & Sons, Ltd. |
doi_str_mv | 10.1002/sia.3256 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1642328004</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1022565027</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4026-8db7efa00a4d4acddd24103f7c11332c1b67e0ad79c5f58bc7b76a986227ff393</originalsourceid><addsrcrecordid>eNqN0UtLAzEUhuEgCtYL-BOydDN6kswkmaWIl4J4qYruwplcNNpm6mSK9t_boiguRFdn83xn8xKyw2CPAfD9HHFP8EqukAGDWhZ1zfQqGQArecFLztbJRs5PAKCFlgMyGuE0OhqdT30M0WIf20TbQBu0ve8iUkyOzj3mns5yTA80z7qA1hc-PWKy3tERTjDRvJguB-lhi6wFHGe__Xk3ye3x0c3haXF2cTI8PDgrbAlcFto1ygcEwNKVaJ1zvGQggrKMCcEta6TygE7VtgqVbqxqlMRaS85VCKIWm2T34--0a19mPvdmErP14zEm386yYbLkgmuA8m8KnGupWV3_i1ayAq6-qe3anDsfzLSLE-zmC2SWMcwihlnGWNDig77GsZ__6sz18OCnj7n3b18eu2cjlVCVuTs_Med3l1f6_lgaLd4BWNeZeA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1022565027</pqid></control><display><type>article</type><title>Rapid identification of bacteria and yeast using surface-enhanced Raman scattering</title><source>Wiley Journals</source><creator>Culha, Mustafa ; Kahraman, Mehmet ; Çam, Dilek ; Sayın, Ismail ; Keseroǧlu, Kemal</creator><creatorcontrib>Culha, Mustafa ; Kahraman, Mehmet ; Çam, Dilek ; Sayın, Ismail ; Keseroǧlu, Kemal</creatorcontrib><description>Surface‐enhanced Raman scattering (SERS) is a powerful technique used for obtaining chemical information about the molecules and molecular structures in the vicinity of surfaces of noble metal nanostructures. The chemical information acquired through SERS can be used for not only characterization but also detection and identification. In a clinical setting, rapid and accurate identification of micro‐organisms is critical. The biochemical information collected through the SERS spectra can be used for quick identification of micro‐organisms. The concentrated silver colloidal nanoparticles (AgNPs) are simply mixed with micro‐organisms after culturing, and their SERS spectra acquired. Since the nanoparticles are in contact with the cell wall of the micro‐organism, the biochemical information obtained is mostly assumed as originating from the cell wall which the AgNPs are in contact with, and is considered as the ‘fingerprint’ of the micro‐organism, which can be used for the identification. Since a SERS spectrum can be acquired only in seconds, the obtained spectrum can be used for fast micro‐organism identification. The reproducibility of the spectra obtained from micro‐organisms is first tested, and then the obtained spectra are used for the goal. The identification of micro‐organisms in mixtures is also attempted in model mixtures. It is demonstrated that the SERS can be used for fast and accurate identification of micro‐organisms such as bacteria and yeast, even in their mixtures. Four bacteria, i.e. Shigella sonnei, Erwinia amylovara, Proteus vulgaris and DH5α (E. coli strain), and three yeast cells, i.e. Hyphopichia burtonii, Candida parapsilosis and Filobasidiella neoformans are used as model micro‐organisms in the study. Copyright © 2010 John Wiley & Sons, Ltd.</description><identifier>ISSN: 0142-2421</identifier><identifier>ISSN: 1096-9918</identifier><identifier>EISSN: 1096-9918</identifier><identifier>DOI: 10.1002/sia.3256</identifier><language>eng</language><publisher>Chichester, UK: John Wiley & Sons, Ltd</publisher><subject>Bacteria ; Biochemistry ; Candida parapsilosis ; Contact ; Erwinia ; Escherichia coli ; identification ; Nanostructure ; Proteus vulgaris ; Raman scattering ; SERS ; Shigella sonnei ; silver nanoparticles ; Spectra ; Walls ; Yeast</subject><ispartof>Surface and interface analysis, 2010-06, Vol.42 (6-7), p.462-465</ispartof><rights>Copyright © 2010 John Wiley & Sons, Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4026-8db7efa00a4d4acddd24103f7c11332c1b67e0ad79c5f58bc7b76a986227ff393</citedby><cites>FETCH-LOGICAL-c4026-8db7efa00a4d4acddd24103f7c11332c1b67e0ad79c5f58bc7b76a986227ff393</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fsia.3256$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fsia.3256$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids></links><search><creatorcontrib>Culha, Mustafa</creatorcontrib><creatorcontrib>Kahraman, Mehmet</creatorcontrib><creatorcontrib>Çam, Dilek</creatorcontrib><creatorcontrib>Sayın, Ismail</creatorcontrib><creatorcontrib>Keseroǧlu, Kemal</creatorcontrib><title>Rapid identification of bacteria and yeast using surface-enhanced Raman scattering</title><title>Surface and interface analysis</title><addtitle>Surf. Interface Anal</addtitle><description>Surface‐enhanced Raman scattering (SERS) is a powerful technique used for obtaining chemical information about the molecules and molecular structures in the vicinity of surfaces of noble metal nanostructures. The chemical information acquired through SERS can be used for not only characterization but also detection and identification. In a clinical setting, rapid and accurate identification of micro‐organisms is critical. The biochemical information collected through the SERS spectra can be used for quick identification of micro‐organisms. The concentrated silver colloidal nanoparticles (AgNPs) are simply mixed with micro‐organisms after culturing, and their SERS spectra acquired. Since the nanoparticles are in contact with the cell wall of the micro‐organism, the biochemical information obtained is mostly assumed as originating from the cell wall which the AgNPs are in contact with, and is considered as the ‘fingerprint’ of the micro‐organism, which can be used for the identification. Since a SERS spectrum can be acquired only in seconds, the obtained spectrum can be used for fast micro‐organism identification. The reproducibility of the spectra obtained from micro‐organisms is first tested, and then the obtained spectra are used for the goal. The identification of micro‐organisms in mixtures is also attempted in model mixtures. It is demonstrated that the SERS can be used for fast and accurate identification of micro‐organisms such as bacteria and yeast, even in their mixtures. Four bacteria, i.e. Shigella sonnei, Erwinia amylovara, Proteus vulgaris and DH5α (E. coli strain), and three yeast cells, i.e. Hyphopichia burtonii, Candida parapsilosis and Filobasidiella neoformans are used as model micro‐organisms in the study. Copyright © 2010 John Wiley & Sons, Ltd.</description><subject>Bacteria</subject><subject>Biochemistry</subject><subject>Candida parapsilosis</subject><subject>Contact</subject><subject>Erwinia</subject><subject>Escherichia coli</subject><subject>identification</subject><subject>Nanostructure</subject><subject>Proteus vulgaris</subject><subject>Raman scattering</subject><subject>SERS</subject><subject>Shigella sonnei</subject><subject>silver nanoparticles</subject><subject>Spectra</subject><subject>Walls</subject><subject>Yeast</subject><issn>0142-2421</issn><issn>1096-9918</issn><issn>1096-9918</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNqN0UtLAzEUhuEgCtYL-BOydDN6kswkmaWIl4J4qYruwplcNNpm6mSK9t_boiguRFdn83xn8xKyw2CPAfD9HHFP8EqukAGDWhZ1zfQqGQArecFLztbJRs5PAKCFlgMyGuE0OhqdT30M0WIf20TbQBu0ve8iUkyOzj3mns5yTA80z7qA1hc-PWKy3tERTjDRvJguB-lhi6wFHGe__Xk3ye3x0c3haXF2cTI8PDgrbAlcFto1ygcEwNKVaJ1zvGQggrKMCcEta6TygE7VtgqVbqxqlMRaS85VCKIWm2T34--0a19mPvdmErP14zEm386yYbLkgmuA8m8KnGupWV3_i1ayAq6-qe3anDsfzLSLE-zmC2SWMcwihlnGWNDig77GsZ__6sz18OCnj7n3b18eu2cjlVCVuTs_Med3l1f6_lgaLd4BWNeZeA</recordid><startdate>201006</startdate><enddate>201006</enddate><creator>Culha, Mustafa</creator><creator>Kahraman, Mehmet</creator><creator>Çam, Dilek</creator><creator>Sayın, Ismail</creator><creator>Keseroǧlu, Kemal</creator><general>John Wiley & Sons, Ltd</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T7</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H95</scope><scope>H97</scope><scope>L.G</scope><scope>P64</scope><scope>7QL</scope><scope>M7N</scope><scope>7U5</scope><scope>L7M</scope></search><sort><creationdate>201006</creationdate><title>Rapid identification of bacteria and yeast using surface-enhanced Raman scattering</title><author>Culha, Mustafa ; Kahraman, Mehmet ; Çam, Dilek ; Sayın, Ismail ; Keseroǧlu, Kemal</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4026-8db7efa00a4d4acddd24103f7c11332c1b67e0ad79c5f58bc7b76a986227ff393</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Bacteria</topic><topic>Biochemistry</topic><topic>Candida parapsilosis</topic><topic>Contact</topic><topic>Erwinia</topic><topic>Escherichia coli</topic><topic>identification</topic><topic>Nanostructure</topic><topic>Proteus vulgaris</topic><topic>Raman scattering</topic><topic>SERS</topic><topic>Shigella sonnei</topic><topic>silver nanoparticles</topic><topic>Spectra</topic><topic>Walls</topic><topic>Yeast</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Culha, Mustafa</creatorcontrib><creatorcontrib>Kahraman, Mehmet</creatorcontrib><creatorcontrib>Çam, Dilek</creatorcontrib><creatorcontrib>Sayın, Ismail</creatorcontrib><creatorcontrib>Keseroǧlu, Kemal</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 1: Biological Sciences & Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Surface and interface analysis</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Culha, Mustafa</au><au>Kahraman, Mehmet</au><au>Çam, Dilek</au><au>Sayın, Ismail</au><au>Keseroǧlu, Kemal</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Rapid identification of bacteria and yeast using surface-enhanced Raman scattering</atitle><jtitle>Surface and interface analysis</jtitle><addtitle>Surf. Interface Anal</addtitle><date>2010-06</date><risdate>2010</risdate><volume>42</volume><issue>6-7</issue><spage>462</spage><epage>465</epage><pages>462-465</pages><issn>0142-2421</issn><issn>1096-9918</issn><eissn>1096-9918</eissn><abstract>Surface‐enhanced Raman scattering (SERS) is a powerful technique used for obtaining chemical information about the molecules and molecular structures in the vicinity of surfaces of noble metal nanostructures. The chemical information acquired through SERS can be used for not only characterization but also detection and identification. In a clinical setting, rapid and accurate identification of micro‐organisms is critical. The biochemical information collected through the SERS spectra can be used for quick identification of micro‐organisms. The concentrated silver colloidal nanoparticles (AgNPs) are simply mixed with micro‐organisms after culturing, and their SERS spectra acquired. Since the nanoparticles are in contact with the cell wall of the micro‐organism, the biochemical information obtained is mostly assumed as originating from the cell wall which the AgNPs are in contact with, and is considered as the ‘fingerprint’ of the micro‐organism, which can be used for the identification. Since a SERS spectrum can be acquired only in seconds, the obtained spectrum can be used for fast micro‐organism identification. The reproducibility of the spectra obtained from micro‐organisms is first tested, and then the obtained spectra are used for the goal. The identification of micro‐organisms in mixtures is also attempted in model mixtures. It is demonstrated that the SERS can be used for fast and accurate identification of micro‐organisms such as bacteria and yeast, even in their mixtures. Four bacteria, i.e. Shigella sonnei, Erwinia amylovara, Proteus vulgaris and DH5α (E. coli strain), and three yeast cells, i.e. Hyphopichia burtonii, Candida parapsilosis and Filobasidiella neoformans are used as model micro‐organisms in the study. Copyright © 2010 John Wiley & Sons, Ltd.</abstract><cop>Chichester, UK</cop><pub>John Wiley & Sons, Ltd</pub><doi>10.1002/sia.3256</doi><tpages>4</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0142-2421 |
ispartof | Surface and interface analysis, 2010-06, Vol.42 (6-7), p.462-465 |
issn | 0142-2421 1096-9918 1096-9918 |
language | eng |
recordid | cdi_proquest_miscellaneous_1642328004 |
source | Wiley Journals |
subjects | Bacteria Biochemistry Candida parapsilosis Contact Erwinia Escherichia coli identification Nanostructure Proteus vulgaris Raman scattering SERS Shigella sonnei silver nanoparticles Spectra Walls Yeast |
title | Rapid identification of bacteria and yeast using surface-enhanced Raman scattering |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T01%3A57%3A34IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Rapid%20identification%20of%20bacteria%20and%20yeast%20using%20surface-enhanced%20Raman%20scattering&rft.jtitle=Surface%20and%20interface%20analysis&rft.au=Culha,%20Mustafa&rft.date=2010-06&rft.volume=42&rft.issue=6-7&rft.spage=462&rft.epage=465&rft.pages=462-465&rft.issn=0142-2421&rft.eissn=1096-9918&rft_id=info:doi/10.1002/sia.3256&rft_dat=%3Cproquest_cross%3E1022565027%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1022565027&rft_id=info:pmid/&rfr_iscdi=true |