English  |  正體中文  |  简体中文  |  Items with full text/Total items : 21921/27947 (78%)
Visitors : 4207521      Online Users : 610
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version


    Please use this identifier to cite or link to this item: http://140.128.103.80:8080/handle/310901/24898


    Title: Rapid discrimination of bacteria and bacteriophages by Raman spectroscopy
    Authors: Lin, C.-C.;Hung, C.-H.;Chang, C.-W.;Huang, L.-R.
    Contributors: Department of Chemical and Materials Engineering, Tunghai University
    Keywords: Acinetobacters;Analysis method;Baumannii;Biochemical composition;Biological research;Characteristic peaks;Clinical diagnosis;Data codes;Environmental Monitoring;High sensitivity;Intensity difference;Klebsiella pneumoniae;Molecular species;Quantitative information;Rapid identification;Sub micron;Bacteriophages;Bar codes;Diagnosis;Innovation;Raman scattering;Raman spectroscopy;Bacteria
    Date: 2012-11-02
    Issue Date: 2014-06-18T02:53:06Z (UTC)
    Publisher: Kaohsiung
    Abstract: An accurate, high sensitivity and rapid identification assay of bacterial and virus is extremely important in areas such as medical diagnosis, biological research, and environmental monitoring. Raman spectra generates from the molecular species often referred to as 'whole-organism fingerprinting' being able to give comprehensive quantitative information about the overall biochemical composition of a microbial sample. Rapid discrimination of bacteria and bacteriaphage can be great important for food, environment and clinical diagnosis. Raman spectra of bacteria stains (Salmonella, Acinetobacter baumannii, Klebsiella pneumoniae) and their related bacteriaphages were analyzed. Raman pattern indicated the characteristic peaks and intensity difference between either bacteria nor phages. Barcode analysis, the intensity of 21 majority peaks summarized from the spectral interval 400-1200 nm showed the distinguishable data code for those cells. The present results suggest that both bacteria (micron) and phages (sub micron) can be directly discriminated by their Raman fingerprint and the barcode analysis method may help us transfer the complex spectra into easily and readability data. ? (2013) Trans Tech Publications, Switzerland.
    Relation: 2nd International Conference on Engineering and Technology Innovation 2012, ICETI 2012
    Appears in Collections:[化學工程與材料工程學系所] 會議論文

    Files in This Item:

    File SizeFormat
    index.html0KbHTML352View/Open


    All items in THUIR are protected by copyright, with all rights reserved.


    本網站之東海大學機構典藏數位內容,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback