Evidence map›Paper›PMID 22610598›Full record

ArticleFolia microbiologica2012

Structural analysis of mycolic acids from phenol-degrading strain of Rhodococcus erythropolis by liquid chromatography-tandem mass spectrometry.

Irena Kolouchová, Olga Schreiberová, Jan Masák, Karel Sigler, Tomáš Rezanka

Abstract read
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In one paragraph

Article in Folia microbiologica, 2012. 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
0.3field-weighted citation impact, top 43% of its field
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, 9 citations in OpenAlex.

  1. Article
  2. Lipid metabolism of phenol-tolerantBiotechnology for biofuels · 2018
    Article
  3. 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

5 authors at 3 institutions in 1 country.

Irena KolouchováDepartment of Biotechnology, Institute of Chemical Technology Prague, Technická 5, Prague, Czech Republic.
Olga Schreiberová
Jan Masák
Karel Sigler
Tomáš Rezanka
University of Chemistry and Technology, Prague · CZCzech Academy of Sciences · CZCzech Academy of Sciences, Institute of Microbiology · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We used reversed phase liquid chromatography-electrospray ionization tandem mass spectrometry for direct analysis of mycolic acids (MAs) from four different cultivations of Rhodococcus erythropolis. This technique enabled us to identify and quantify the specific molecular species of MAs directly from lipid extracts of the bacterium, including the determination of their basic characteristics such as retention time and mass spectra. We identified a total of 60 molecular species of MAs by means of LC/MS. In collision-induced dissociation tandem mass spectrometry, the [M-H](-) ions eliminated two residues, i.e., meroaldehyde and carboxylate anions containing α-alkyl chains. The structural information from these fragment ions affords structural assignment of the mycolic acids, including the lengths and number of double bond(s). Two strains, i.e., R. erythropolis CCM 2595 and genetically modified strain CCM 2595 pSRK 21 phe were cultivated on two different substrates (phenol and phenol with addition of humic acids as a sole carbon source). The addition of humic acids showed that there is a marked increase of unsaturated mycolic acids, mostly in the range of 20-100 %. This effect is more pronounced in the R. erythropolis CCM 2595 strain.

Indexed as

BiotransformationCarbonChromatography, LiquidCulture MediaHumic SubstancesMycolic AcidsPhenolRhodococcusTandem Mass SpectrometryCarbonCulture MediaHumic SubstancesMycolic AcidsPhenol

Identifiers

PMID22610598
OpenAlexW2033779138

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.