Evidence map›Paper›PMID 32796601›Full record

ArticleMolecules (Basel, Switzerland)2020

An Optimization of Liquid-Liquid Extraction of Urinary Volatile and Semi-Volatile Compounds and Its Application for Gas Chromatography-Mass Spectrometry and Proton Nuclear Magnetic Resonance Spectroscopy.

Natalia Drabińska, Piotr Młynarz, Ben de Lacy Costello, Peter Jones, Karolina Mielko, Justyna Mielnik, Raj Persad, Norman Mark Ratcliffe

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Genome and Metabolome MS-Based Mining of a Marine Strain ofJournal of fungi (Basel, Switzerland) · 2021
    Article
  9. Review
  10. 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

8 authors at 3 institutions in 2 countries.

Natalia DrabińskaInstitute of Animal Reproduction and Food Research of Polish Academy of Sciences, 10 Tuwima Str., 10-748 Olsztyn, Poland.ORCID 0000-0001-5324-5982
Piotr MłynarzDepartment of Biochemistry, Molecular Biology and Biotechnology, Faculty of Chemistry, Wroclaw University of Science and Technology, 27 Wybrzeże Stanisława Wyspianskiego, 50-370 Wroclaw, Poland.ORCID 0000-0002-8502-4022
Ben de Lacy CostelloInstitute of Biosensor Technology, University of the West of England, Coldharbour Lane, Frenchay, Bristol BS16 1QY, UK.
Peter JonesIndigo Science Ltd., Bristol BS7 9JS, UK.
Karolina MielkoDepartment of Biochemistry, Molecular Biology and Biotechnology, Faculty of Chemistry, Wroclaw University of Science and Technology, 27 Wybrzeże Stanisława Wyspianskiego, 50-370 Wroclaw, Poland.
Justyna MielnikDepartment of Biochemistry, Molecular Biology and Biotechnology, Faculty of Chemistry, Wroclaw University of Science and Technology, 27 Wybrzeże Stanisława Wyspianskiego, 50-370 Wroclaw, Poland.
Raj PersadBristol Urological Institute, Southmead Hospital, Bristol BS10 5BN, UK.
Norman Mark RatcliffeInstitute of Biosensor Technology, University of the West of England, Coldharbour Lane, Frenchay, Bristol BS16 1QY, UK.
University of the West of England · GBWrocław University of Science and Technology · PLSouthmead Hospital · GB

Funding

Above and Beyond Charity in Bristol GA2543
6 · The paper itself

Abstract

Urinary volatile compounds (VCs) have been recently assessed for disease diagnoses. They belong to very diverse chemical classes, and they are characterized by different volatilities, polarities and concentrations, complicating their analysis via a single analytical procedure. There remains a need for better, lower-cost methods for VC biomarker discovery. Thus, there is a strong need for alternative methods, enabling the detection of a broader range of VCs. Therefore, the main aim of this study was to optimize a simple and reliable liquid-liquid extraction (LLE) procedure for the analysis of VCs in urine using gas chromatography-mass spectrometry (GC-MS), in order to obtain the maximum number of responses. Extraction parameters such as pH, type of solvent and ionic strength were optimized. Moreover, the same extracts were analyzed using Proton Nuclear Magnetic Resonance Spectroscopy (

Indexed as

FemaleGas Chromatography-Mass SpectrometryHumansLiquid-Liquid ExtractionProton Magnetic Resonance SpectroscopyUrinalysisVolatile Organic CompoundsVolatile Organic Compounds1H-NMRGC-MSliquid–liquid extractionmethod optimizationurinevolatile compounds

Identifiers

PMID32796601
PMCPMC7463579
OpenAlexW3048535389

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.