Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 34,
  • Issue 1,
  • pp. 72-75
  • (1980)

A Resonance Raman Method for the Rapid Detection and Identification of Bacteria in Water

Not Accessible

Your library or personal account may give you access

Abstract

Resonance Raman spectra are reported for 16 types of carotene-containing bacteria and algae in aqueous dispersion. Spectra are obtained with ease from organisms grown in culture and collected by centrifugation. In many instances spectra produced with 488 nm incident radiation are sufficiently unique to provide a basis for identification. While most information is contained in the 900 to 1600 cm<sup>-1</sup> region, several bacteria exhibit pronounced carotenoid overtone and combination bands which can be assigned along with the fundamental vibrations.

PDF Article
More Like This
Rapid and accurate identification of bacteria utilizing laser-induced breakdown spectroscopy

J. H. Liang, S. Q. Wang, W. F. Zhang, Y. Guo, Y. Zhang, F. Chen, L. Zhang, W. B. Yin, L. T. Xiao, and S. T. Jia
Biomed. Opt. Express 15(3) 1878-1891 (2024)

Rapid identification of pathogens in blood serum via Raman tweezers in combination with advanced processing methods

Ondřej Vaculík, Silvie Bernatová, Katarína Rebrošová, Ota Samek, Lukáš Šilhan, Filip Růžička, Mojmír Šerý, Martin Šiler, Jan Ježek, and Pavel Zemánek
Biomed. Opt. Express 14(12) 6410-6421 (2023)

Identification of microplastics in a large water volume by integrated holography and Raman spectroscopy

Tomoko Takahashi, Zonghua Liu, Thangavel Thevar, Nicholas Burns, Sumeet Mahajan, Dhugal Lindsay, John Watson, and Blair Thornton
Appl. Opt. 59(17) 5073-5078 (2020)

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.