Evidence map›Paper›PMID 11282591›Full record

ArticleApplied and environmental microbiology2001

Investigating microbial (micro)colony heterogeneity by vibrational spectroscopy.

L P Choo-Smith, K Maquelin, T van Vreeswijk, H A Bruining, G J Puppels, N A Ngo Thi, C Kirschner, D Naumann, D Ami, A M Villa and 7 more

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

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  11. Toxicity mechanism of CuJournal of biological physics · 2020
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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

17 authors.

L P Choo-SmithLaboratory for Intensive Care Research and Optical Spectroscopy, Department of General Surgery, Erasmus University Rotterdam, 3015 GD Rotterdam, The Netherlands.
K Maquelin
T van Vreeswijk
H A Bruining
G J Puppels
N A Ngo Thi
C Kirschner
D Naumann
D Ami
A M Villa
F Orsini
S M Doglia
H Lamfarraj
G D Sockalingum
M Manfait
P Allouch
H P Endtz

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fourier transform infrared and Raman microspectroscopy are currently being developed as new methods for the rapid identification of clinically relevant microorganisms. These methods involve measuring spectra from microcolonies which have been cultured for as little as 6 h, followed by the nonsubjective identification of microorganisms through the use of multivariate statistical analyses. To examine the biological heterogeneity of microorganism growth which is reflected in the spectra, measurements were acquired from various positions within (micro)colonies cultured for 6, 12, and 24 h. The studies reveal that there is little spectral variance in 6-h microcolonies. In contrast, the 12- and 24-h cultures exhibited a significant amount of heterogeneity. Hierarchical cluster analysis of the spectra from the various positions and depths reveals the presence of different layers in the colonies. Further analysis indicates that spectra acquired from the surface of the colonies exhibit higher levels of glycogen than do the deeper layers of the colony. Additionally, the spectra from the deeper layers present with higher RNA levels than the surface layers. Therefore, the 6-h colonies with their limited heterogeneity are more suitable for inclusion in a spectral database to be used for classification purposes. These results also demonstrate that vibrational spectroscopic techniques can be useful tools for studying the nature of colony development and biofilm formation.

Indexed as

Candida albicansCulture MediaEscherichia coliHumansMicrobiological TechniquesSpectroscopy, Fourier Transform InfraredSpectrum Analysis, RamanStaphylococcus aureusCulture Media

Identifiers

PMID11282591
PMCPMC92755

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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.