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Open Chemistry

formerly Central European Journal of Chemistry

1 Issue per year


IMPACT FACTOR 2016 (Open Chemistry): 1.027
IMPACT FACTOR 2016 (Central European Journal of Chemistry): 1.460

CiteScore 2016: 0.61

SCImago Journal Rank (SJR) 2016: 0.288
Source Normalized Impact per Paper (SNIP) 2016: 0.735

Open Access
Online
ISSN
2391-5420
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Volume 13, Issue 1 (Feb 2015)

Issues

Optimization of Data Acquisition and Sample Preparation Methods for LC-MS Urine Metabolomic Analysis

Robert Skibiński
  • Corresponding author
  • Department of Medicinal Chemistry, Pharmaceutical Faculty, Medical University of Lublin, Jaczewskiego 4, 20-090 Lublin, Poland
  • Email
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Łukasz Komsta
  • Department of Medicinal Chemistry, Pharmaceutical Faculty, Medical University of Lublin, Jaczewskiego 4, 20-090 Lublin, Poland
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2015-02-06 | DOI: https://doi.org/10.1515/chem-2015-0096

Abstract

Nowadays, chromatographic methods coupled with mass spectrometry are the most commonly used tools in metabolomics studies. These methods are currently being developed and various techniques and strategies are proposed for the profiling analysis of biological samples. However, the most important thing used to maximize the number of entities in the recorded profiles is the optimization of sample preparation procedure and the data acquisition method. Therefore, ultra high performance liquid chromatography coupled with accurate quadrupoletime- of-flight (Q-TOF) mass spectrometry was used for the comparison of urine metabolomic profiles obtained by the use of various spectral data acquisition methods. The most often used method of registration of metabolomics data acquisition – TOF (MS) was compared with the fast polarity switching MS and auto MS/MS methods with the use of multivariate chemometric analysis (PCA). In all the cases both ionization mode (positive and negative) were studied and the number of the identified compounds was compared. Additionally, various urine sample preparation procedures were tested and it was found that the addition of organic solvents to the sample noticeably reduces the number of entities in the registered profiles. It was also noticed that the auto MS/MS method is the least efficient way to register metabolomic profiles.

Graphical Abstract

Keywords : UHPLC; Q-TOF; MS/MS; fast polarity switching; metabolomics

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About the article

Received: 2014-10-01

Accepted: 2015-01-01

Published Online: 2015-02-06


Citation Information: Open Chemistry, ISSN (Online) 2391-5420, DOI: https://doi.org/10.1515/chem-2015-0096.

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© 2015 Robert Skibiński, Łukasz Komsta. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. BY-NC-ND 3.0

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