Discrimination of Staphylococcus aureus Strains from Coagulase-Negative Staphylococci and Other Pathogens by Fourier Transform Infrared Spectroscopy
Staphylococcus aureus is an extremely infectious and malignant pathogen among many bacteria species. The aim of this work is to provide a robust classification model that would be able to identify S. aureus independent of the culture growth stage and the variations in bacteria concentration in suspe...
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| Veröffentlicht in: | Analytical chemistry (Washington) 2020-04, Vol.92 (7), p.4943-4948 |
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| creator | Guliev, Rustam R Suntsova, Anastasiia Y Vostrikova, Tatiana Y Shchegolikhin, Alexander N Popov, Dmitry A Guseva, Marina A Shevelev, Alexei B Kurochkin, Ilya N |
| description | Staphylococcus aureus is an extremely infectious and malignant pathogen among many bacteria species. The aim of this work is to provide a robust classification model that would be able to identify S. aureus independent of the culture growth stage and the variations in bacteria concentration in suspension and also one that would be able to identify the pathogen among both taxonomically close species of the same genus and taxonomically distant species of different genera, using Fourier transform infrared spectroscopy (FTIR). In total, the spectra of 141 isolates of 17 bacteria have been used. Based on a combination of principal component analysis (PCA) and linear discriminant analysis (LDA), an identification model providing 100% sensitivity and 98% specificity was built. Inherent reliability and flexibility of the model have been shown. The proposed method of analysis allows us to get closer to the diagnostic requirements in the field of clinical microbiology, and it can be utilized for typing of other pathogenic bacteria species. |
| doi_str_mv | 10.1021/acs.analchem.9b05050 |
| format | Article |
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The aim of this work is to provide a robust classification model that would be able to identify S. aureus independent of the culture growth stage and the variations in bacteria concentration in suspension and also one that would be able to identify the pathogen among both taxonomically close species of the same genus and taxonomically distant species of different genera, using Fourier transform infrared spectroscopy (FTIR). In total, the spectra of 141 isolates of 17 bacteria have been used. Based on a combination of principal component analysis (PCA) and linear discriminant analysis (LDA), an identification model providing 100% sensitivity and 98% specificity was built. Inherent reliability and flexibility of the model have been shown. The proposed method of analysis allows us to get closer to the diagnostic requirements in the field of clinical microbiology, and it can be utilized for typing of other pathogenic bacteria species.</description><identifier>ISSN: 0003-2700</identifier><identifier>EISSN: 1520-6882</identifier><identifier>DOI: 10.1021/acs.analchem.9b05050</identifier><identifier>PMID: 32129600</identifier><language>eng</language><publisher>WASHINGTON: American Chemical Society</publisher><subject><![CDATA[Acinetobacter baumannii - isolation & purification ; Bacteria ; Candida albicans - isolation & purification ; Chemistry ; Chemistry, Analytical ; Clinical microbiology ; Coagulase ; Coagulase - metabolism ; Diagnostic systems ; Discriminant analysis ; Enterobacter cloacae - isolation & purification ; Enterococcus faecalis - isolation & purification ; Enterococcus faecium - isolation & purification ; Escherichia coli - isolation & purification ; Fourier analysis ; Fourier transforms ; Genera ; Growth stage ; Infrared spectroscopy ; Klebsiella pneumoniae - isolation & purification ; Linear Models ; Microbiology ; Pathogens ; Physical Sciences ; Principal Component Analysis ; Principal components analysis ; Pseudomonas aeruginosa - isolation & purification ; Science & Technology ; Serratia marcescens - isolation & purification ; Species ; Spectroscopy, Fourier Transform Infrared ; Spectrum analysis ; Staphylococcus aureus ; Staphylococcus aureus - isolation & purification]]></subject><ispartof>Analytical chemistry (Washington), 2020-04, Vol.92 (7), p.4943-4948</ispartof><rights>Copyright American Chemical Society Apr 7, 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>12</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000526569200035</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-a376t-91ff5ed0a8ffad41cd8ca6fb726cfd3333543e9cd58b803611a9aff288f97ac3</citedby><cites>FETCH-LOGICAL-a376t-91ff5ed0a8ffad41cd8ca6fb726cfd3333543e9cd58b803611a9aff288f97ac3</cites><orcidid>0000-0001-8910-4137 ; 0000-0003-1473-1982 ; 0000-0003-3564-7405 ; 0000-0002-9403-4003 ; 0000-0002-6102-8133</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://pubs.acs.org/doi/pdf/10.1021/acs.analchem.9b05050$$EPDF$$P50$$Gacs$$H</linktopdf><linktohtml>$$Uhttps://pubs.acs.org/doi/10.1021/acs.analchem.9b05050$$EHTML$$P50$$Gacs$$H</linktohtml><link.rule.ids>315,781,785,2766,27081,27929,27930,28253,56743,56793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32129600$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Guliev, Rustam R</creatorcontrib><creatorcontrib>Suntsova, Anastasiia Y</creatorcontrib><creatorcontrib>Vostrikova, Tatiana Y</creatorcontrib><creatorcontrib>Shchegolikhin, Alexander N</creatorcontrib><creatorcontrib>Popov, Dmitry A</creatorcontrib><creatorcontrib>Guseva, Marina A</creatorcontrib><creatorcontrib>Shevelev, Alexei B</creatorcontrib><creatorcontrib>Kurochkin, Ilya N</creatorcontrib><title>Discrimination of Staphylococcus aureus Strains from Coagulase-Negative Staphylococci and Other Pathogens by Fourier Transform Infrared Spectroscopy</title><title>Analytical chemistry (Washington)</title><addtitle>ANAL CHEM</addtitle><addtitle>Anal. Chem</addtitle><description>Staphylococcus aureus is an extremely infectious and malignant pathogen among many bacteria species. The aim of this work is to provide a robust classification model that would be able to identify S. aureus independent of the culture growth stage and the variations in bacteria concentration in suspension and also one that would be able to identify the pathogen among both taxonomically close species of the same genus and taxonomically distant species of different genera, using Fourier transform infrared spectroscopy (FTIR). In total, the spectra of 141 isolates of 17 bacteria have been used. Based on a combination of principal component analysis (PCA) and linear discriminant analysis (LDA), an identification model providing 100% sensitivity and 98% specificity was built. Inherent reliability and flexibility of the model have been shown. The proposed method of analysis allows us to get closer to the diagnostic requirements in the field of clinical microbiology, and it can be utilized for typing of other pathogenic bacteria species.</description><subject>Acinetobacter baumannii - isolation & purification</subject><subject>Bacteria</subject><subject>Candida albicans - isolation & purification</subject><subject>Chemistry</subject><subject>Chemistry, Analytical</subject><subject>Clinical microbiology</subject><subject>Coagulase</subject><subject>Coagulase - metabolism</subject><subject>Diagnostic systems</subject><subject>Discriminant analysis</subject><subject>Enterobacter cloacae - isolation & purification</subject><subject>Enterococcus faecalis - isolation & purification</subject><subject>Enterococcus faecium - isolation & purification</subject><subject>Escherichia coli - isolation & purification</subject><subject>Fourier analysis</subject><subject>Fourier transforms</subject><subject>Genera</subject><subject>Growth stage</subject><subject>Infrared spectroscopy</subject><subject>Klebsiella pneumoniae - 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isolation & purification</topic><topic>Bacteria</topic><topic>Candida albicans - isolation & purification</topic><topic>Chemistry</topic><topic>Chemistry, Analytical</topic><topic>Clinical microbiology</topic><topic>Coagulase</topic><topic>Coagulase - metabolism</topic><topic>Diagnostic systems</topic><topic>Discriminant analysis</topic><topic>Enterobacter cloacae - isolation & purification</topic><topic>Enterococcus faecalis - isolation & purification</topic><topic>Enterococcus faecium - isolation & purification</topic><topic>Escherichia coli - isolation & purification</topic><topic>Fourier analysis</topic><topic>Fourier transforms</topic><topic>Genera</topic><topic>Growth stage</topic><topic>Infrared spectroscopy</topic><topic>Klebsiella pneumoniae - isolation & purification</topic><topic>Linear Models</topic><topic>Microbiology</topic><topic>Pathogens</topic><topic>Physical Sciences</topic><topic>Principal Component Analysis</topic><topic>Principal components analysis</topic><topic>Pseudomonas aeruginosa - isolation & purification</topic><topic>Science & Technology</topic><topic>Serratia marcescens - isolation & purification</topic><topic>Species</topic><topic>Spectroscopy, Fourier Transform Infrared</topic><topic>Spectrum analysis</topic><topic>Staphylococcus aureus</topic><topic>Staphylococcus aureus - isolation & purification</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Guliev, Rustam R</creatorcontrib><creatorcontrib>Suntsova, Anastasiia Y</creatorcontrib><creatorcontrib>Vostrikova, Tatiana Y</creatorcontrib><creatorcontrib>Shchegolikhin, Alexander N</creatorcontrib><creatorcontrib>Popov, Dmitry A</creatorcontrib><creatorcontrib>Guseva, Marina A</creatorcontrib><creatorcontrib>Shevelev, Alexei B</creatorcontrib><creatorcontrib>Kurochkin, Ilya N</creatorcontrib><collection>Web of Science - Science Citation Index Expanded - 2020</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Analytical chemistry (Washington)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Guliev, Rustam R</au><au>Suntsova, Anastasiia Y</au><au>Vostrikova, Tatiana Y</au><au>Shchegolikhin, Alexander N</au><au>Popov, Dmitry A</au><au>Guseva, Marina A</au><au>Shevelev, Alexei B</au><au>Kurochkin, Ilya N</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Discrimination of Staphylococcus aureus Strains from Coagulase-Negative Staphylococci and Other Pathogens by Fourier Transform Infrared Spectroscopy</atitle><jtitle>Analytical chemistry (Washington)</jtitle><stitle>ANAL CHEM</stitle><addtitle>Anal. Chem</addtitle><date>2020-04-07</date><risdate>2020</risdate><volume>92</volume><issue>7</issue><spage>4943</spage><epage>4948</epage><pages>4943-4948</pages><issn>0003-2700</issn><eissn>1520-6882</eissn><abstract>Staphylococcus aureus is an extremely infectious and malignant pathogen among many bacteria species. The aim of this work is to provide a robust classification model that would be able to identify S. aureus independent of the culture growth stage and the variations in bacteria concentration in suspension and also one that would be able to identify the pathogen among both taxonomically close species of the same genus and taxonomically distant species of different genera, using Fourier transform infrared spectroscopy (FTIR). In total, the spectra of 141 isolates of 17 bacteria have been used. Based on a combination of principal component analysis (PCA) and linear discriminant analysis (LDA), an identification model providing 100% sensitivity and 98% specificity was built. Inherent reliability and flexibility of the model have been shown. The proposed method of analysis allows us to get closer to the diagnostic requirements in the field of clinical microbiology, and it can be utilized for typing of other pathogenic bacteria species.</abstract><cop>WASHINGTON</cop><pub>American Chemical Society</pub><pmid>32129600</pmid><doi>10.1021/acs.analchem.9b05050</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0001-8910-4137</orcidid><orcidid>https://orcid.org/0000-0003-1473-1982</orcidid><orcidid>https://orcid.org/0000-0003-3564-7405</orcidid><orcidid>https://orcid.org/0000-0002-9403-4003</orcidid><orcidid>https://orcid.org/0000-0002-6102-8133</orcidid></addata></record> |
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| subjects | Acinetobacter baumannii - isolation & purification Bacteria Candida albicans - isolation & purification Chemistry Chemistry, Analytical Clinical microbiology Coagulase Coagulase - metabolism Diagnostic systems Discriminant analysis Enterobacter cloacae - isolation & purification Enterococcus faecalis - isolation & purification Enterococcus faecium - isolation & purification Escherichia coli - isolation & purification Fourier analysis Fourier transforms Genera Growth stage Infrared spectroscopy Klebsiella pneumoniae - isolation & purification Linear Models Microbiology Pathogens Physical Sciences Principal Component Analysis Principal components analysis Pseudomonas aeruginosa - isolation & purification Science & Technology Serratia marcescens - isolation & purification Species Spectroscopy, Fourier Transform Infrared Spectrum analysis Staphylococcus aureus Staphylococcus aureus - isolation & purification |
| title | Discrimination of Staphylococcus aureus Strains from Coagulase-Negative Staphylococci and Other Pathogens by Fourier Transform Infrared Spectroscopy |
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