Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 41,
  • Issue 3,
  • pp. 417-422
  • (1987)

An Ultraviolet (242 nm Excitation) Resonance Raman Study of Live Bacteria and Bacterial Components

Not Accessible

Your library or personal account may give you access

Abstract

Ultraviolet-excited (242 nm) resonance Raman spectra have been obtained for the first time for five types of bacteria: <i>Escherichia coli, Pseudomonas fluorescens, Staphylococcus epidermidis, Bacillus subtilis,</i> and <i>Enterobacter cloacae.</i> Detailed, highly reproducible spectra show substantial differences in both the intensities and the energies of peaks, which suggests that such spectra provide unique "fingerprints" reflecting the unique combinations of chemotaxonomic markers present in each type of organism. Many of the spectral features excited by 242-nm radiation probably arise from cellular RNA, DNA, and the amino acids tyrosine and tryptophan. Background fluorescence has been shown to be negligible.

PDF Article
More Like This
Pathogen identification with laser-induced breakdown spectroscopy: the effect of bacterial and biofluid specimen contamination

Qassem I. Mohaidat, Khadija Sheikh, Sunil Palchaudhuri, and Steven J. Rehse
Appl. Opt. 51(7) B99-B107 (2012)

Native fluorescence and excitation spectroscopic changes in Bacillus subtilis and Staphylococcus aureus bacteria subjected to conditions of starvation

Alexandra Alimova, Alvin Katz, Howard E. Savage, Mahendra Shah, Glenn Minko, Daniel V. Will, Richard B. Rosen, Steven A. McCormick, and Robert R. Alfano
Appl. Opt. 42(19) 4080-4087 (2003)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.