Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 61,
  • Issue 11,
  • pp. 1233-1237
  • (2007)

Raman Spectroscopic Measurement of Relative Concentrations in Mixtures of Oral Bacteria

Not Accessible

Your library or personal account may give you access

Abstract

Near-infrared Raman spectroscopy has been used for species identification of pure microbial specimens for more than a decade. More recently, this optical method has been extended to the analysis of specimens containing multiple species. In this report, we demonstrate rapid, reagent-free quantitative analysis of a simplified model of oral plaque containing three oral bacteria species, <i>S. mutans</i>, <i>S. sanguis</i>, and <i>S. gordonii</i>, using near-infrared Raman spectroscopy. Raman spectra were acquired from bacterial mixtures in 200 seconds. A prediction model was calibrated by the partial least squares method and validated by additional samples. On a scale from 0 to 1, relative fractions of each species could be predicted with a root mean square error of 0.07. These results suggest that near-infrared Raman spectroscopy is potentially useful in quantification of microbial mixtures in general and oral plaques in particular.

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)

Rapid, accurate, and precise concentration measurements of a methanol–water mixture using Raman spectroscopy

Daniel D. Hickstein, Russell Goldfarbmuren, Jack Darrah, Luke Erickson, and Laura A. Johnson
OSA Continuum 1(3) 1097-1110 (2018)

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.