Evidence map›Paper›PMID 26681327›Full record

ArticleEnvironmental science and pollution research international2016

A study on identification of bacteria in environmental samples using single-cell Raman spectroscopy: feasibility and reference libraries.

Jean-Charles Baritaux, Anne-Catherine Simon, Emmanuelle Schultz, C Emain, P Laurent, Jean-Marc Dinten

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Perspective on Improving Environmental Monitoring of Biothreats.Frontiers in bioengineering and biotechnology · 2018
    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

6 authors.

Jean-Charles BaritauxUniversité Grenoble-alpes, CEA, LETI, Minatec-Campus, F-38000, Grenoble, France.
Anne-Catherine SimonCEA, LIST, Gif-sur-Yvette, F-91191, France.
Emmanuelle SchultzUniversité Grenoble-alpes, CEA, LETI, Minatec-Campus, F-38000, Grenoble, France. emmanuelle.schultz@cea.fr.
C EmainUniversité Grenoble-alpes, CEA, LETI, Minatec-Campus, F-38000, Grenoble, France.
P LaurentUniversité Grenoble-alpes, CEA, LETI, Minatec-Campus, F-38000, Grenoble, France.
Jean-Marc DintenUniversité Grenoble-alpes, CEA, LETI, Minatec-Campus, F-38000, Grenoble, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report on our recent efforts towards identifying bacteria in environmental samples by means of Raman spectroscopy. We established a database of Raman spectra from bacteria submitted to various environmental conditions. This dataset was used to verify that Raman typing is possible from measurements performed in non-ideal conditions. Starting from the same dataset, we then varied the phenotype and matrix diversity content included in the reference library used to train the statistical model. The results show that it is possible to obtain models with an extended coverage of spectral variabilities, compared to environment-specific models trained on spectra from a restricted set of conditions. Broad coverage models are desirable for environmental samples since the exact conditions of the bacteria cannot be controlled.

Indexed as

Spectrum Analysis, RamanBacteriaEnvironmental MicrobiologyEnvironmental MonitoringEnvironmental PollutantsLibrariesEnvironmental PollutantsClassificationEnvironmental samplesOutliers removalRaman spectroscopyReference librariesSingle bacterial cell identification

Identifiers

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.