Exemplar application of multi-capillary column ion mobility spectrometry for biological and medical purpose

Original Research

Abstract

In recent years, ion mobility spectrometry is increasingly in demand for new applications especially on biological samples (cells, bacteria, fungi), in medicine (diagnosis, therapy and medication control e.g. from breath analyses), for food quality control, safety monitoring and characterisation or process control in chemical and pharmaceutical industry. For this purpose instruments based on gas phase separation of ions in weak electric fields were developed at ISAS–Institute for Analytical Sciences, focussing on the particular challenges such as humid and rather complex samples, specific sampling procedures adapted to the application, fast pre-separation techniques like multi-capillary columns and suitable data processing including data bases for relevant analytes and automatic characterisation of IMS-chromatograms. Feasibility studies were carried out successfully for biological and medical purpose at ISAS, including the detection of bacteria, fungi and metabolites of cells and in human breath. For all those samples characteristic pattern of analytes were found and could be used for the identification of cell lines, fungi and bacteria as well as of numerous diseases. Furthermore, the quantification of those analytes could be used to obtain information about the state of the process or person (e.g. growth of cultures, development of diseases, level of medication, grade of cancer). Those examples shall demonstrate the potential of ion mobility spectrometry for the selected applications. However, a general and reliable data bases of reference analytes is required in the near future to enable an exploitation of the metabolic pathways and to confirm the relevance of the detected signals for the investigated topic.

Keywords

Ion mobility spectrometry Trace gas analysis Metabolites Metabolic profiling Metabolomics Cells Fungi Bacteria Breath analysis Diseases Medication Therapy 

Notes

Acknowledgement

The financial support of the Bundesministerium für Bildung und Forschung and the Ministerium für Wissenschaft und Forschung des Landes Nordrhein-Westfalen is gratefully acknowledged. The co-operation with the Lung Hospital in Hemer, Germany, in particular Dr. Lutz Freitag, Dr. Michael Westhoff and Dr. Patrick Litterst and the participation of all the healthy subjects and patients was essential for the breath analyses investigations. The bacteria and fungi investigations were carried out at the Hygiene-Institut in Iserlohn, Germany. The dedicated work of Luzia Seifert and Susanne Krois, both technicians at ISAS, was indispensable for the success of the investigations as well as the support of Dunja Zimmermann and Michéle Hartmann during the work with the cell lines and of Dr. Jürgen Nolte and Rita Fobbe for the identification of unknown analytes using mass spectrometry. Last but not least, the contributions of Sabine Bader related to data processing and evaluation potentiated the interpretation of the numerous and complex data sets.

References

  1. 1.
    Kell DB (2006) Systems biology, metabolic modelling and metabolomics in drug discovery and development. Drug Discov Today 11(23–24):1085–1092CrossRefGoogle Scholar
  2. 2.
    Schnackenberg LK, Beger RD (2006) Monitoring the health to disease continuum with global metabolic profiling and systems biology. Pharmacogenomics 7(7):1077–1086CrossRefGoogle Scholar
  3. 3.
    Rochfort S (2005) Metabolomics reviewed: a new “Omics” platform technology for systems biology and implications for natural products research. J Nat Prod 68(12):1813–1820CrossRefGoogle Scholar
  4. 4.
    Smedsgaard J, Nielsen J (2005) Metabolite profiling of fungi and yeast: from phenotype to metabolome by MS and informatics. J Exp Bot 56(410):273–286CrossRefGoogle Scholar
  5. 5.
    Griffin JL, Kauppinen RA (2007) Tumour metabolomics in animal models of human cancer. J Proteome Res 6(2):498–505CrossRefGoogle Scholar
  6. 6.
    de Bruijn I, de Kock MJD, Yang M, de Waard P, van Beek TA, Raaijmakers JM (2007) Genome-based discovery, structure prediction and functional analysis of cyclic lipopeptide antibiotics in Pseudomonas species. Mol Microbiol 63(2):417–428CrossRefGoogle Scholar
  7. 7.
    Lenz EM, Wilson ID (2007) Analytical strategies in metabonomics. J Proteome Res 6(2):443–458CrossRefGoogle Scholar
  8. 8.
    Hodavance MS, Ralston SL, Pelczer I (2007) Beyond blood sugar: the potential of NMR-based metabonomics for type 2 human diabetes, and the horse as a possible model. Anal Bioanal Chem 387(2):533–537CrossRefGoogle Scholar
  9. 9.
    Thevis M, Schanzer W (2007) Mass spectrometry in sports drug testing: structure characterization and analytical assays. Mass Spectrom Rev 26(1):79–107CrossRefGoogle Scholar
  10. 10.
    Libardoni M, Stevens PT, Waite JH, Sacks R (2006) Analysis of human breath samples with a multi-bed sorption trap and comprehensive two-dimensional gas chromatography (GC × GC). J Chromatogr B Analyt Technol Biomed Life Sci 842(1):13–21CrossRefGoogle Scholar
  11. 11.
    Ma W, Liu XY, Pawliszyn J (2006) Analysis of human breath with micro extraction techniques and continuous monitoring of carbon dioxide concentration. Anal Bioanal Chem 385(8):1398–1408CrossRefGoogle Scholar
  12. 12.
    Cho SM, Kim YJ, Heo GS, Shin SM (2006) Two-step preconcentration for analysis of exhaled gas of human breath with electronic nose. Sens Actuators B Chem 117(1):50–57CrossRefGoogle Scholar
  13. 13.
    Wood WL, Higbee DJ, Gooldy M, Glogowski S, Fitzpatrick R, Karalus RJ, Wood TD, Mangino DJ (2006) Analysis of volatile bacterial metabolites by gas chromatography-mass spectrometry. Spectroscopy 21:20–25Google Scholar
  14. 14.
    Eiceman GA, Karpas Z (2005) Ion mobility spectrometry. CRC, London, UKGoogle Scholar
  15. 15.
    Schmidt H, Tadjimukhamedov F, Douglas KM, Prasad S, Smith GB, Eiceman GA (2006) Quantitative assessment and optimization of parameters for pyrolysis of bacteria with gas chromatographic analysis. J Anal Appl Pyrol 76:161–168CrossRefGoogle Scholar
  16. 16.
    Prasad S, Schmidt H, Lampen P, Wang M, Guth R, Rao JV, Smith GB, Eiceman GA (2006) Analysis of bacterial strains with pyrolysis-gas chromatography/differential mobility spectrometry. Analyst 131(11):1216–1225CrossRefGoogle Scholar
  17. 17.
    Tang XT, Bruce JE, Hill HH (2006) Characterizing electrospray ionization using atmospheric pressure ion mobility spectrometry. Anal Chem 78(22):7751–7760CrossRefGoogle Scholar
  18. 18.
    Hill HH, Asbury CH, Wu GR, Matz LM, Ichiye T (2002) Charge location on gas phase peptides. Int J Mass Spectrom 219(1):23–37CrossRefGoogle Scholar
  19. 19.
    Baumbach JI, Westhoff M (2006) Ion mobility spectrometry to detect lung cancer and airway infections. Spectrosc Eur 18(6):22–27Google Scholar
  20. 20.
    Ruzsanyi V, Baumbach JI, Sielemann S, Litterst P, Westhoff M, Freitag L (2005) Detection of human metabolites using multi-capillary columns coupled to ion mobility spectrometers. J Chromatogr A 1084(1):2145–2151CrossRefGoogle Scholar
  21. 21.
    Baumbach JI (2006) Process analysis using ion mobility spectrometry. Anal Bioanal Chem 384:1059–1070CrossRefGoogle Scholar
  22. 22.
    Vautz W, Baumbach JI, Jung J (2006) Beer fermentation control using ion mobility spectrometry. J Inst Brew 112(2):157–164Google Scholar
  23. 23.
    Vautz W, Sielemann S, Baumbach JI (2004) Determination of terpenes in humid ambient air using ultraviolet ion mobility spectrometry. Anal Chim Acta 513:393–399CrossRefGoogle Scholar
  24. 24.
    Vautz W, Zimmermann D, Hartmann M, Baumbach JI, Nolte J, Jung J (2006) Ion mobility spectrometry for food quality and safety. Food Addit Contam 23(11):1064–1073CrossRefGoogle Scholar
  25. 25.
    Baumbach JI, Eiceman GA (1999) Ion mobility spectrometry: arriving on-site and moving beyond a low profile. Appl Spectrosc 53(9):338A–355ACrossRefGoogle Scholar
  26. 26.
    Ruzsanyi V, Baumbach JI, Eiceman GA (2003) Detection of the mold markers using ion mobility spectrometry. Int J Ion Mobil Spectrom 6(2):53–57Google Scholar
  27. 27.
    Soppart O, Baumbach JI (2000) Comparison of electric fields within drift tubes for ion mobility spectrometry. Meas Sci Technol 11:1473–1479CrossRefGoogle Scholar
  28. 28.
    Bader S, Urfer W, Baumbach JI (2007) Reduction of Ion Mobility Spectrometry data by clustering characteristic peak structures. J Chemom 20(3–4):128–135Google Scholar
  29. 29.
    Bader S, Urfer W, Baumbach JI (2005) Processing ion mobility spectrometry data to characterize group differences in a multiple class comparison. Int J Ion Mobil Spectrom 8:1–4Google Scholar

Copyright information

© Springer-Verlag 2008

Authors and Affiliations

  1. 1.ISAS–Institute for Analytical SciencesDortmundGermany

Personalised recommendations