Evidence map›Paper›PMID 18028703›Full record

ArticleApplied spectroscopy2007

Raman spectroscopic measurement of relative concentrations in mixtures of oral bacteria.

Qingyuan Zhu, Robert G Quivey, Andrew J Berger

Abstract read
In one paragraph

Article in Applied spectroscopy, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Raman signatures ofFrontiers in microbiology · 2026
    Article
  2. In Situ Raman Analysis of Biofilm Exopolysaccharides Formed inInternational journal of molecular sciences · 2023
    Article
  3. Raman Imaging of PathogenicFrontiers in microbiology · 2021
    Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Qingyuan ZhuThe Institute of Optics, University of Rochester, Rochester, NY 14627, USA.
Robert G Quivey
Andrew J Berger

Funding

Oxidative Stress Responses in Oral StreptococciR01DE013683 · NIDCR · UNIVERSITY OF ROCHESTER · PI QUIVEY, ROBERT G · 2000 to 2019
$6.2M
Low pH-mediated membrane biosynthesis in S. mutans.R01DE017157 · NIDCR · UNIVERSITY OF ROCHESTER · PI QUIVEY, ROBERT G · 2006 to 2010
$1.8M
VIRULENCE AND GENETIC RECOMBINATION OF ORAL STREPTOCOCCIR01DE010174 · NIDCR · UNIVERSITY OF ROCHESTER · PI QUIVEY, ROBERT G · 1996 to 2005
$1.5M
Raman spectroscopy of bacteria in oral plaquesR21DE016111 · NIDCR · UNIVERSITY OF ROCHESTER · PI BERGER, ANDREW J · 2005 to 2006
$281k
NIDCR NIH HHS 1R21 DE 016111-01A1NIDCR NIH HHS R01 DE 010174NIDCR NIH HHS R01 DE010174NIDCR NIH HHS R01 DE 013683NIDCR NIH HHS R01 DE013683NIDCR NIH HHS R01 DE 017157NIDCR NIH HHS R01 DE017157NIDCR NIH HHS R21 DE016111
6 · The paper itself

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, S. mutans, S. sanguis, and S. gordonii, 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.

Indexed as

StreptococcusDental PlaqueMouthSpectrum Analysis, RamanStreptococcus mutansStreptococcus sanguis

Identifiers

PMID18028703
PMCPMC2475336

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.