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Detection of volatile organic compounds (VOCs) in exhaled breath of patients with chronic obstructive pulmonary disease (COPD) by ion mobility spectrometry

  • Original Research
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International Journal for Ion Mobility Spectrometry

Abstract

COPD is a disease characterised by a chronic inflammation of the airways and a not fully reversible airway obstruction. The spirometry is considered as gold-standard to diagnose the disease and to grade its severity. In this study we used the methodology of Ion Mobility Spectometry in order to detect Volatile Organic Compounds (VOCs) in exhaled breath of patients with COPD. The purpose of this study was to investigate if the VOCs detected in patients with COPD were different from the VOCs detected in exhaled breath of healthy controls. 13 COPD patients and 33 healthy controls were included in the study. Breath samples were collected via a side-steam Teflon tube and directly measured by an ion mobility spectrometer coupled to a multi capillary column (MCC/IMS). One peak was identified only in the patients group compared to the healthy control group. Consequently, the analysis of exhaled breath could be a useful tool to diagnose COPD.

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References

  1. Pauwels RA, Buist AS, Calverley PM, Jenkins CR, Hurd SS (2001) Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease. NHLBI/WHO Global Initiative for Chronic Obstructive Lung Disease (GOLD) Workshop summary. Am J Respir Crit Care Med 163:256–276

    Google Scholar 

  2. Murray CJL, Lopez AD (1997) Mortality by cause for eight regions of the world: Global Burden of Disease Study. Lancet 349:1269–1276

    Article  CAS  Google Scholar 

  3. Rabe KF, Hurd S, Anzueto A, Barnes PJ, Buist SA, Calverley P, Fukuchi Y, Jenkins C, Rodriguez-Roisin R, van Wheel C, Zielinski J (2007) Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: GOLD executive summary. Am J Respir Crit Care Med 176:532–555

    Article  Google Scholar 

  4. Pauling L, Robinson AB, Teranishi R, Cary P (1971) Quantitative analysis of urine vapor and breath by gas–liquid partition chromatography. Proc Natl Acad Sci USA 68:2374–2376

    Article  CAS  Google Scholar 

  5. Buszewski B, Kesy M, Ligor T, Amann A (2007) Human exhaled air analytics: biomarkers of diseases. Biomed Chromatogr 21:553–566

    Article  CAS  Google Scholar 

  6. Phillips M, Cataneo R, Cummin A, Gagliardi A, Gleeson K, Greenberg J, Maxfield R, Rom W (2003) Detection of lung cancer with volatile markers in the breath. Chest 123:2115–2123

    Article  CAS  Google Scholar 

  7. Westhoff M, Litterst P, Freitag L, Urfer W, Bader S, Baumbach JI (2009) Ion mobility spectrometry for the detection of volatile organic compounds in exhaled breath of lung cancer patients. Thorax 64(9):744–748

    Article  CAS  Google Scholar 

  8. Westhoff M, Litterst P, Freitag P, Baumbach J (2007) Ion mobility spectometry in the diagnosis of sarcoidosis: results of a physibility study. J Physiol Pharmacol 58:739–751

    Google Scholar 

  9. Phillips M, Cataneo RN, Condos R, Ring Erickson GA, Greenberg J, La Bombardi V, Munawar MI, Tietje O (2007) Volatile biomarkers of pulmonary tuberculosis in the breath. Tuberculosis (Edinb) 87(1):44–52

    Article  CAS  Google Scholar 

  10. Fens N, Aeilko H, Zwinderman MP, van der Schee M, de Nijs SB, Dijkers E, Roldaan AC, Cheung D, Bel EH, Sterk PJ (2009) Exhaled breath profiling enables discrimination of chronic obstructive pulmonary disease and asthma. Am J Respir Crit Care Med 180:1076–1082

    Article  CAS  Google Scholar 

  11. Van Berkel JJBN, Dallinga JW, Möller GM, Godschalk RWL, Moonen EJ, Wouters EFM, Van Schooten FJ (2010) A profile of volatile organic compounds in breath discriminates COPD patients from controls. Respir Med 104:557–563

    Article  Google Scholar 

  12. Jünger M, Bödeker B, Baumbach JI (2010) Peak assignment in multi-capillary column-ion mobility spectrometry using comparative studies with gas chromatography-mass spectrometry for VOC analysis. Anal Bioanal Chem 396(1):471–482

    Article  Google Scholar 

  13. Bunkowski A, Maddula S, Davies AN, Westhoff M, Litterst P, Bödecker B, Baumbach JI (2010) One-year time series of investigations of analytes within human breath using ion mobility spectrometry. Int J Ion Mobility Spectrom 13:141–148

    Article  CAS  Google Scholar 

  14. Baumbach JI (2006) Process analysis using ion mobility spectrometry. Anal Bioanal Chem 384(5):1059–1070

    Article  CAS  Google Scholar 

  15. Westhoff M, Litterst P, Maddula S, Bödeker B, Rahmann S, Davies AN, Baumbach JI (2010) Differentiation of chronic obstructive pulmonary disease (COPD) including lung cancer patients from health control group by breath analysis using ion mobility spectrometry. Int J Ion Mobil Spectrom 13:131–139

    Article  CAS  Google Scholar 

  16. Bödecker B, Davies AN, Maddula S, Baumbach JI (2010) Biomarker validation—room air variation during human breath investigations. Int J Ion Mobility Spectrom 13:177–184

    Article  Google Scholar 

  17. Maddula S, Blank LM, Schmid A, Baumbach JI (2009) Detection of volatile metabolites of Escherichia coli by multi capillary column coupled ion mobility spectrometry. Anal Bioanal Chem 394(3):791–800

    Article  CAS  Google Scholar 

  18. Miller MR, Hankinson J, Brusasco V (2005) Standardisation of spirometry. Eur Respir J 26:319–338

    Article  CAS  Google Scholar 

  19. Bödeker B, Baumbach JI (2009) Analytical description of IMS-signals. Int J Ion Mobility Spectrom 12:103–108

    Article  Google Scholar 

  20. Bödeker B, Vautz W, Baumbach JI (2008) Peak finding and referencing in MCC/IMS—data. Int J Ion Mobility Spectrom 11:83–88

    Article  Google Scholar 

  21. Bödeker B, Vautz W, Baumbach JI (2008) Peak comparison in MCC/IMS—data searching for potential biomarkers in human breath data. Int J Ion Mobility Spectrom 11:89–93

    Article  Google Scholar 

  22. Bödeker B, Vautz W, Baumbach JI (2008) Visualisation of MCC/IMS—Data. Int J Ion Mobility Spectrom 11:77–82

    Article  Google Scholar 

  23. Basanta M, Jarvis RM, Xu Y, Blackburn G, Tal-Singer R, Woodcock A, Singh D, Goodacre R, Thomas CL, Fowler SJ (2010) Non-invasive metabolomic analysis of breath using differential mobility spectrometry in patients with chronic obstructive pulmonary disease and healthy smokers. Analyst 135:315–320

    Article  CAS  Google Scholar 

  24. Dragonieri S, Annema JT, Schot R, van der Schee M, Spanevello A, Carratú A, Resta O, Rabe KF, Sterk PJ (2009) An electronic nose in the discrimination of patients with non-small cell lung cancer and COPD. Lung Cancer 64:166–170

    Article  Google Scholar 

  25. Poli D, Carbognani P, Corradi M, Goldoni M, Acampa O, Balbi B, Bianchi L, Rusca M, Mutti A (2005) Exhaled volatile organic compounds in patients with non-small cell lung cancer: cross sectional and nested short-term follow-up study. Respir Res 6:71

    Article  Google Scholar 

  26. Paredi P, Kharitonov SA, Leak D, Ward S, Cramer D, Barnes PJ (2000) Exhaled ethane, a marker of lipid peroxidation, is elevated in chronic obstructive pulmonary disease. Am J Respir Crit Care Med 162:369–373

    CAS  Google Scholar 

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Acknowledgements

The authors wish to thank Bertram Boedeker (B&S Analytik GmbH, Dortmund) for his assistance in statistical analysis and Gabriele Kentrat (Ruhrlandklinik Essen, Germany) for her assistance in data collection.

This research received no specific grants from any funding agency in the public, commercial, or not-for-profit sectors.

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Correspondence to Vasiliki Bessa.

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Vasiliki Bessa and Kaid Darwiche contributed equally to this article.

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Bessa, V., Darwiche, K., Teschler, H. et al. Detection of volatile organic compounds (VOCs) in exhaled breath of patients with chronic obstructive pulmonary disease (COPD) by ion mobility spectrometry. Int. J. Ion Mobil. Spec. 14, 7–13 (2011). https://doi.org/10.1007/s12127-011-0060-2

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  • DOI: https://doi.org/10.1007/s12127-011-0060-2

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