Evidence map›Paper›PMID 28432441›Full record

ArticleApplied microbiology and biotechnology2017

Direct quantification of lipopeptide biosurfactants in biological samples via HPLC and UPLC-MS requires sample modification with an organic solvent.

Piotr Biniarz, Marcin Łukaszewicz

Abstract read
In one paragraph

Article in Applied microbiology and biotechnology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
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  6. Article
  7. Article
  8. Antibiotics (Basel, Switzerland) · 2021
    Article
  9. Article
  10. Sustainable Surfactin Production byMolecules (Basel, Switzerland) · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Article
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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

2 authors.

Piotr BiniarzDepartment of Biotransformation, Faculty of Biotechnology, University of Wroclaw, Joliot Curie 14a, 50-383, Wroclaw, Poland.
Marcin ŁukaszewiczDepartment of Biotransformation, Faculty of Biotechnology, University of Wroclaw, Joliot Curie 14a, 50-383, Wroclaw, Poland. marcin.lukaszewicz@uwr.edu.pl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid and accurate quantification of biosurfactants in biological samples is challenging. In contrast to the orcinol method for rhamnolipids, no simple biochemical method is available for the rapid quantification of lipopeptides. Various liquid chromatography (LC) methods are promising tools for relatively fast and exact quantification of lipopeptides. Here, we report strategies for the quantification of the lipopeptides pseudofactin and surfactin in bacterial cultures using different high- (HPLC) and ultra-performance liquid chromatography (UPLC) systems. We tested three strategies for sample pretreatment prior to LC analysis. In direct analysis (DA), bacterial cultures were injected directly and analyzed via LC. As a modification, we diluted the samples with methanol and detected an increase in lipopeptide recovery in the presence of methanol. Therefore, we suggest this simple modification as a tool for increasing the accuracy of LC methods. We also tested freeze-drying followed by solvent extraction (FDSE) as an alternative for the analysis of "heavy" samples. In FDSE, the bacterial cultures were freeze-dried, and the resulting powder was extracted with different solvents. Then, the organic extracts were analyzed via LC. Here, we determined the influence of the extracting solvent on lipopeptide recovery. HPLC methods allowed us to quantify pseudofactin and surfactin with run times of 15 and 20 min per sample, respectively, whereas UPLC quantification was as fast as 4 and 5.5 min per sample, respectively. Our methods provide highly accurate measurements and high recovery levels for lipopeptides. At the same time, UPLC-MS provides the possibility to identify lipopeptides and their structural isoforms.

Indexed as

SolventsChromatography, High Pressure LiquidLimit of DetectionLipopeptidesMethanolOrganic ChemicalsPeptides, CyclicSurface-Active AgentsTandem Mass SpectrometryLipopeptidesMethanolOrganic ChemicalsPeptides, CyclicSolventsSurface-Active Agentssurfactin peptideBiosurfactantsExtractionHPLCLipopeptidesQuantificationUPLC-MS

Identifiers

PMID28432441
PMCPMC5442266

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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.