Rapid classification of heavy metal-exposed freshwater bacteria by infrared spectroscopy coupled with chemometrics using supervised method

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dc.contributor.authorGurbanov, Rafig
dc.contributor.authorGözen, Ayşe Gül
dc.contributor.authorSevercan, Feride
dc.date.accessioned2021-05-15T12:41:58Z
dc.date.available2021-05-15T12:41:58Z
dc.date.issued2018
dc.departmentTıp Fakültesi, Biyofizik Anabilim Dalıen_US
dc.descriptionGozen, Ayse Gul/0000-0001-5479-051X
dc.description.abstractRapid, cost-effective, sensitive and accurate methodologies to classify bacteria are still in the process of development. The major drawbacks of standard microbiological, molecular and immunological techniques call for the possible usage of infrared (IR) spectroscopy based supervised chemometric techniques. Previous applications of IR based chemometric methods have demonstrated outstanding findings in the classification of bacteria. Therefore, we have exploited an IR spectroscopy based chemometrics using supervised method namely Soft Independent Modeling of Class Analogy (SIMCA) technique for the first time to classify heavy metal-exposed bacteria to be used in the selection of suitable bacteria to evaluate their potential for environmental cleanup applications. Herein, we present the powerful differentiation and classification of laboratory strains (Escherichia coli and Staphylococcus aureus) and environmental isolates (Gordonia sp. and Microbacterium oxydans) of bacteria exposed to growth inhibitory concentrations of silver (Ag), cadmium (Cd) and lead (Pb). Our results demonstrated that SIMCA was able to differentiate all heavy metal-exposed and control groups from each other with 95% confidence level. Correct identification of randomly chosen test samples in their corresponding groups and high model distances between the classes were also achieved. We report, for the first time, the success of IR spectroscopy coupled with supervised chemometric technique SIMCA in classification of different bacteria under a given treatment. (C) 2017 Elsevier B.V. All rights reserved.en_US
dc.description.sponsorshipScientific and Technological Research Council of TurkeyTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [113Y515]; Scientific Research Projects Fund (BAP) of the Middle East Technical UniversityMiddle East Technical University [BAP-01-08-2016-005]en_US
dc.description.sponsorshipThe Scientific and Technological Research Council of Turkey (Grant 113Y515) and The Scientific Research Projects Fund (BAP) of the Middle East Technical University (Grant BAP-01-08-2016-005) supported this work. The authors would like to thank Dr. Nihal Simsek Ozek for her valuable comments on the manuscripten_US
dc.identifier.doi10.1016/j.saa.2017.08.038
dc.identifier.endpage290en_US
dc.identifier.issn1386-1425
dc.identifier.pmid28823969
dc.identifier.scopus2-s2.0-85027455381
dc.identifier.scopusqualityQ1
dc.identifier.startpage282en_US
dc.identifier.urihttps://doi.org/10.1016/j.saa.2017.08.038
dc.identifier.urihttps://hdl.handle.net/20.500.12939/879
dc.identifier.volume189en_US
dc.identifier.wosWOS:000413607000038
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.institutionauthorSevercan, Feride
dc.language.isoen
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofSpectrochimica Acta Part A-Molecular and Biomolecular Spectroscopy
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBacteria Classificationen_US
dc.subjectChemometric Methodsen_US
dc.subjectSoft Independent Modeling Of Class Analogy (SIMCA)en_US
dc.subjectIR Spectroscopyen_US
dc.titleRapid classification of heavy metal-exposed freshwater bacteria by infrared spectroscopy coupled with chemometrics using supervised method
dc.typeArticle

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