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dc.contributor.authorChen, Wei-Jenen_US
dc.contributor.authorTsai, Pei-Janeen_US
dc.contributor.authorChen, Yu-Chieen_US
dc.date.accessioned2014-12-08T15:10:31Z-
dc.date.available2014-12-08T15:10:31Z-
dc.date.issued2008-12-15en_US
dc.identifier.issn0003-2700en_US
dc.identifier.urihttp://dx.doi.org/10.1021/ac802042xen_US
dc.identifier.urihttp://hdl.handle.net/11536/8027-
dc.description.abstractAlthough matrix-assisted laser desorption/ionization mass spectrometry (MALDI MS) can be employed to rapidly characterize pathogenic bacteria, bacterial cultures are generally required to obtain sufficient quantities of the bacterial cells prior to MALDI MS analysis. If this time-consuming step could be eliminated, the length of time required for identification of bacterial strains would be greatly reduced. In this paper, we propose an effective means of rapidly identifying bacteria-one that does not require bacterial culturing-using functional nanoparticle-based proteomic strategies that are characterized by extremely short analysis time. In this approach, we used titania-coated magnetic iron oxide nanoparticles (Fe(3)O(4)@TiO(2) NPs) as affinity probes to concentrate the target bacteria. The magnetic properties of the Fe(3)O(4)@TiO(2) NPs allow the conjugated target species to be rapidly isolated from the sample solutions under a magnetic field. Taking advantage of the absorption of the magnetic Fe(3)O(4) NPs in the microwave region of the electromagnetic spectrum, we performed the tryptic digestion of the captured bacteria under microwave heating for only 1-1.5 min prior to MALDI MS analysis. We identified the resulting biomarker ions by combining their MS/MS analysis results with protein database searches. Using this technique, we identified potential biomarker ions representing five Gram-negative bacteria: Escherichia coli O157:H7, uropathogenic E. coli, Shigella sonnei, Pseudomonas aeruginosa, and Klebsiella pneumoniae. Finally, we demonstrated the practical feasibility of using this approach to rapidly characterize bacteria in clinical samples.en_US
dc.language.isoen_USen_US
dc.titleFunctional Nanoparticle-Based Proteomic Strategies for Characterization of Pathogenic Bacteriaen_US
dc.typeArticleen_US
dc.identifier.doi10.1021/ac802042xen_US
dc.identifier.journalANALYTICAL CHEMISTRYen_US
dc.citation.volume80en_US
dc.citation.issue24en_US
dc.citation.spage9612en_US
dc.citation.epage9621en_US
dc.contributor.department應用化學系zh_TW
dc.contributor.departmentDepartment of Applied Chemistryen_US
dc.identifier.wosnumberWOS:000261728900030-
dc.citation.woscount38-
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