Micro-Raman spectroscopy for identification and classification of UTI bacteria

M. Yogesha, Kiran Chawla, Mahendra Acharya, Santhosh Chidangil, Aseefhali Bankapur*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Urinary tract infection (UTI) is one of the major clinical problems known to mankind, especially among adult women. Conventional methods for identification of UTI causing bacteria are time consuming and expensive. Therefore, a rapid and cost-effective method is desired. In the present study, five bacteria (one Gram-positive and four Gram-negative), most commonly known to cause UTI, have been identified and classified using micro-Raman spectroscopy combined with principal component analysis (PCA).

Original languageEnglish
Title of host publicationClinical and Preclinical Optical Diagnostics
EditorsJ. Quincy Brown, Ton G. van Leeuwen
PublisherSPIE
Volume10411
ISBN (Electronic)9781510612808
DOIs
Publication statusPublished - 01-01-2017
EventClinical and Preclinical Optical Diagnostics 2017 - Munich, Germany
Duration: 25-06-201727-06-2017

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume10411
ISSN (Print)1605-7422

Conference

ConferenceClinical and Preclinical Optical Diagnostics 2017
Country/TerritoryGermany
CityMunich
Period25-06-1727-06-17

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

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