Literature DB >> 21668516

Detection of characteristic metabolites of Aspergillus fumigatus and Candida species using ion mobility spectrometry-metabolic profiling by volatile organic compounds.

Thorsten Perl1, Melanie Jünger, Wolfgang Vautz, Jürgen Nolte, Martin Kuhns, Margarete Borg-von Zepelin, Michael Quintel.   

Abstract

Volatile metabolites of Aspergillus fumigatus and Candida species can be detected by gas chromatography/mass spectrometry (GC/MS). A multi-capillary column - ion mobility spectrometer (MCC-IMS) was used in this study to assess volatile organic compounds (VOCs) in the headspace above A. fumigatus and the four Candida species Candida albicans, Candida parapsilosis, Candida glabrata and Candida tropicalis in an innovative approach, validated for A. fumigatus and C. albicans by GC/MS analyses. For the detection of VOCs, a special stainless steel measurement chamber for the microbial cultures was used. The gas outlet was either attached to MCC-IMS or to adsorption tubes (Tenax GR) for GC/MS measurements. Isoamyl alcohol, cyclohexanone, 3-octanone and phenethylalcohol can be described as discriminating substances by means of GC/MS. With MCC-IMS, the results for 3-octanone and phenethylalcohol are concordant and additionally to GC/MS, ethanol and two further compounds (p_0642_1/p_683_1 and p_705_3) can be described. Isoamyl alcohol and cyclohexanone were not properly detectable with MCC-IMS. The major advantage of the MCC-IMS system is the feasibility of rapid analysis of complex gas mixtures without pre-concentration or preparation of samples and regardless of water vapour content in an online setup. Discrimination of fungi on genus level of the investigated germs by volatile metabolic profile and therefore detection of VOC is feasible. However, a further discrimination on species level for Candida species was not possible.
© 2011 Blackwell Verlag GmbH.

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Year:  2011        PMID: 21668516     DOI: 10.1111/j.1439-0507.2011.02037.x

Source DB:  PubMed          Journal:  Mycoses        ISSN: 0933-7407            Impact factor:   4.377


  18 in total

1.  Monte Carlo simulation of ion trajectories of reacting chemical systems: mobility of small water clusters in ion mobility spectrometry.

Authors:  Walter Wissdorf; Luzia Seifert; Valerie Derpmann; Sonja Klee; Wolfgang Vautz; Thorsten Benter
Journal:  J Am Soc Mass Spectrom       Date:  2013-03-02       Impact factor: 3.109

2.  A breath fungal secondary metabolite signature to diagnose invasive aspergillosis.

Authors:  Sophia Koo; Horatio R Thomas; S David Daniels; Robert C Lynch; Sean M Fortier; Margaret M Shea; Preshious Rearden; James C Comolli; Lindsey R Baden; Francisco M Marty
Journal:  Clin Infect Dis       Date:  2014-10-22       Impact factor: 9.079

3.  Microorganisms in the phylloplane modulate the BVOC emissions of Brassica nigra leaves.

Authors:  Amelie Saunier; Promise Mpamah; Christina Biasi; James D Blande
Journal:  Plant Signal Behav       Date:  2020-02-14

4.  Volatile organic compounds in the breath of oral candidiasis patients: a pilot study.

Authors:  Moritz Hertel; Eyke Schuette; Isabell Kastner; Stefan Hartwig; Andrea Maria Schmidt-Westhausen; Robert Preissner; Sebastian Paris; Saskia Preissner
Journal:  Clin Oral Investig       Date:  2017-06-10       Impact factor: 3.573

5.  Ion mobility spectrometry for microbial volatile organic compounds: a new identification tool for human pathogenic bacteria.

Authors:  Melanie Jünger; Wolfgang Vautz; Martin Kuhns; Lena Hofmann; Siobhán Ulbricht; Jörg Ingo Baumbach; Michael Quintel; Thorsten Perl
Journal:  Appl Microbiol Biotechnol       Date:  2012-02-12       Impact factor: 4.813

6.  Peak detection method evaluation for ion mobility spectrometry by using machine learning approaches.

Authors:  Anne-Christin Hauschild; Dominik Kopczynski; Marianna D'Addario; Jörg Ingo Baumbach; Sven Rahmann; Jan Baumbach
Journal:  Metabolites       Date:  2013-04-16

7.  Multi-capillary column-ion mobility spectrometry (MCC-IMS) as a new method for the quantification of occupational exposure to sevoflurane in anaesthesia workplaces: an observational feasibility study.

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Journal:  J Occup Med Toxicol       Date:  2015-03-27       Impact factor: 2.646

Review 8.  Chemical diversity of microbial volatiles and their potential for plant growth and productivity.

Authors:  Chidananda Nagamangala Kanchiswamy; Mickael Malnoy; Massimo E Maffei
Journal:  Front Plant Sci       Date:  2015-03-13       Impact factor: 5.753

9.  Detection and validation of volatile metabolic patterns over different strains of two human pathogenic bacteria during their growth in a complex medium using multi-capillary column-ion mobility spectrometry (MCC-IMS).

Authors:  Nils Kunze; Julia Göpel; Martin Kuhns; Melanie Jünger; Michael Quintel; Thorsten Perl
Journal:  Appl Microbiol Biotechnol       Date:  2013-03-07       Impact factor: 4.813

Review 10.  Genome structure and dynamics of the yeast pathogen Candida glabrata.

Authors:  Khadija M Ahmad; Janez Kokošar; Xiaoxian Guo; Zhenglong Gu; Olena P Ishchuk; Jure Piškur
Journal:  FEMS Yeast Res       Date:  2014-03-10       Impact factor: 2.796

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