Literature DB >> 17386583

An untargeted metabolomics approach to contaminant analysis: pinpointing potential unknown compounds.

A Lommen1, G van der Weg, M C van Engelen, G Bor, L A P Hoogenboom, M W F Nielen.   

Abstract

This study deals with an automated data analysis strategy to pinpoint potential unknown compounds in full scan mass spectrometry (MS) experiments. Three examples of an untargeted metabolomics approach to contaminant analysis are given. By comparing a plant-oil based hormone cocktail to 90 plant oil samples ca. 25 compounds specific to the hormone cocktail could be detected. Five of these compounds were confirmed as steroid hormones. A comparison of a drink water sample from a farm to distillated water showed the presence of contaminants specific to this drink water sample. A grass sample, which was known to give a false positive result in a DR-CALUX bioassay, was unexpectedly shown to contain an abnormal level of chrysene, which was obviously not eliminated during clean-up.

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Year:  2006        PMID: 17386583     DOI: 10.1016/j.aca.2006.11.018

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  14 in total

Review 1.  Emerging applications of metabolomics in drug discovery and precision medicine.

Authors:  David S Wishart
Journal:  Nat Rev Drug Discov       Date:  2016-03-11       Impact factor: 84.694

2.  GC/MS based metabolomics: development of a data mining system for metabolite identification by using soft independent modeling of class analogy (SIMCA).

Authors:  Hiroshi Tsugawa; Yuki Tsujimoto; Masanori Arita; Takeshi Bamba; Eiichiro Fukusaki
Journal:  BMC Bioinformatics       Date:  2011-05-04       Impact factor: 3.169

3.  Inter-laboratory reproducibility of fast gas chromatography-electron impact-time of flight mass spectrometry (GC-EI-TOF/MS) based plant metabolomics.

Authors:  J William Allwood; Alexander Erban; Sjaak de Koning; Warwick B Dunn; Alexander Luedemann; Arjen Lommen; Lorraine Kay; Ralf Löscher; Joachim Kopka; Royston Goodacre
Journal:  Metabolomics       Date:  2009-07-24       Impact factor: 4.290

4.  Genome-scale model of Streptococcus thermophilus LMG18311 for metabolic comparison of lactic acid bacteria.

Authors:  Margreet I Pastink; Bas Teusink; Pascal Hols; Sanne Visser; Willem M de Vos; Jeroen Hugenholtz
Journal:  Appl Environ Microbiol       Date:  2009-04-03       Impact factor: 4.792

5.  An untargeted multi-technique metabolomics approach to studying intracellular metabolites of HepG2 cells exposed to 2,3,7,8-tetrachlorodibenzo-p-dioxin.

Authors:  Ainhoa Ruiz-Aracama; Ad Peijnenburg; Jos Kleinjans; Danyel Jennen; Joost van Delft; Caroline Hellfrisch; Arjen Lommen
Journal:  BMC Genomics       Date:  2011-05-20       Impact factor: 3.969

6.  Automated signal processing applied to volatile-based inspection of greenhouse crops.

Authors:  Roel Jansen; Jan Willem Hofstee; Harro Bouwmeester; Eldert van Henten
Journal:  Sensors (Basel)       Date:  2010-07-28       Impact factor: 3.576

7.  MetAlign 3.0: performance enhancement by efficient use of advances in computer hardware.

Authors:  Arjen Lommen; Harrie J Kools
Journal:  Metabolomics       Date:  2011-10-08       Impact factor: 4.290

8.  A concept study on non-targeted screening for chemical contaminants in food using liquid chromatography-mass spectrometry in combination with a metabolomics approach.

Authors:  Erik Tengstrand; Johan Rosén; Karl-Erik Hellenäs; K Magnus Aberg
Journal:  Anal Bioanal Chem       Date:  2012-11-01       Impact factor: 4.142

9.  Honing in on phenotypes: comprehensive two-dimensional gas chromatography of herbivory-induced volatile emissions and novel opportunities for system-level analyses.

Authors:  Emmanuel Gaquerel; Ian T Baldwin
Journal:  AoB Plants       Date:  2013-02-23       Impact factor: 3.276

10.  MSClust: a tool for unsupervised mass spectra extraction of chromatography-mass spectrometry ion-wise aligned data.

Authors:  Y M Tikunov; S Laptenok; R D Hall; A Bovy; R C H de Vos
Journal:  Metabolomics       Date:  2011-10-15       Impact factor: 4.290

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