Evidence map›Paper›PMID 23204928›Full record

ArticleJournal of biomolecular techniques : JBT2012

A mass spectrometric study for comparative analysis and evaluation of metabolite recovery from plasma by various solvent systems.

Anwesha Dutta, Premalatha Shetty, Smitha Bhat, Yeshaswini Ramachandra, Shrinidhi Hegde

Abstract readComparative Study
In one paragraph

Article in Journal of biomolecular techniques : JBT, 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
–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. Review
  2. Review
  3. Review
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.

Anwesha DuttaDepartment of Biotechnology, Manipal Life Sciences Centre, Manipal, India. ad.anwesha.dutta@gmail.com
Premalatha Shetty
Smitha Bhat
Yeshaswini Ramachandra
Shrinidhi Hegde

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A solvent system that extracts a maximum number of metabolites belonging to diverse chemical classes from complex biofluids, such as plasma, may offer useful inputs to understand the metabolic and physiological state of an individual. The present study compared seven solvent systems for extraction of metabolites from plasma. The extracts were analyzed by mass spectrometry (MS) and MS/MS (MS2) using a quadrupole time-of-flight liquid chromatography/MS system in positive and negative modes of ionization. Metabolites with molecular mass below 400 were identified using Human Metabolome Database MS2 and MS search interfaces. The acetone/isopropanol (2:1) system yielded promising results in positive ionization mode, as the maximum number of MS and MS2 features was detected in the extract. It was found to be superior in extraction of various classes of metabolites, especially organic acids, nucleosides and nucleoside derivatives, and heterocyclic molecules. Glycerophosphocholines in the mass range of 400-700 were found to be efficiently extracted by the methanol/chloroform/water (8:1:1) system. In negative mode as well, the maximum number of MS2 features was detected in methanol/chloroform/water and acetone/isopropanol extracts. The fingerprints of molecular features obtained in the negative and positive modes differed from each other to a significant extent.

Indexed as

2-PropanolAcetoneAcetonitrilesBlood Chemical AnalysisChloroformHumansLiquid-Liquid ExtractionMaleMetabolomeMethanolPhosphatidylcholinesSolventsSpectrometry, Mass, Electrospray IonizationTandem Mass SpectrometryWater2-PropanolAcetoneacetonitrileAcetonitrilesChloroformMethanolPhosphatidylcholinesSolventsWater

Identifiers

PMID23204928
PMCPMC3437798

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.