Time series of indoor analytes and influence of exogeneous factors on interpretation of breath analysis using ion mobility spectrometry (MCC/IMS)
Standardisation of breath sampling is important for application of breath analysis in clinical settings. By studying the effect of room airing on indoor and breath analytes and by generating time series of room air with different sampling intervals we sought to get further insights into room air metabolism, to detect the relevance of exogenous VOCs and to make conclusions about their consideration for the interpretation of exhaled breath. Room air and exhaled breath of a healthy subject were analysed before and after room airing. Furthermore a time series of room air with doors and windows closed was taken over 84 h by an automatic sampling every 180 min. A second times series studied room air analytes over 70 h with samples taken every 16.5 min. For breath and room air measurements an IMS coupled to a multi-capillary column (IMS/MCC) [Bio-Scout® - B&S Analytik GmbH, Dortmund, Germany] was used. The peaks were characterized using the Software Visual Now (B&S Analytik, Dortmund Germany) and identified using the software package MIMA (version 1.1, provided by the Max Planck Institute for Informatics, Saarbrücken, Germany) and the database 20160426_SubstanzDbNIST_122 (B & S Analytik GmbH, Dortmund, Germany). In the morning 4 analytes (Decamethylcylopentasiloxane [541-02-6]; Pentan-2-one [107-87-9] – Dimer; Hexan-1-al [66-25-1]; Pentan-2-one [107-87-9]) – Monomer showed high intensities in the room air and exhaled breath. They were significantly but not equally reduced by room airing. The time series about 84 h showed a time dependent decrease of analytes (limonen-monomer and -dimer; Decamethylcylopentasiloxane, Butan-1-ol, Butan-1-ol) as well as increase (Pentan-2-one [107-87-9] – Dimer). Shorter sampling intervals exhibited circadian variations of analyte concentrations for many analytes. Breath sampling in the morning needs room airing before starting. Then the variation of the intensity of indoor analytes can be kept small. The time series of indoor analytes show, that their intensities have a different behaviour, with time dependent declines, constant increases and circadian variations, dependent on room airing. This has implications on the breath sampling procedure and the intrepretation of exhaled breath.
KeywordsIon mobility spectrometry Room air Exhaled breath
The authors thank Mrs. B. Obertrifter, Lung Clinic Hemer, for her valuable technical assistance in MCC/IMS studies.
Compliance with ethical standards
Conflict of interest
JIBB declared to be an employee of a company producing spectrometers used. There are no other conflicts of interest.
- 4.Kushch I, Schwarz K, Schwentner L, Baumann B, Dzien A, Schmid A, Unterkofler K, Gastl G, Spaněl P, Smith D, Amann A (2008) Compounds enhanced in a mass spectrometric profile of smokers’ exhaled breath versus nonsmokers as determined in a pilot study using PTR-MS. J Breath Res 2(2):026002CrossRefGoogle Scholar
- 8.Hansel A, Jordan A, Holzinger R (1995) Proton transfer reaction mass spectrometry: on-line trace gas analysis at the ppb level. Int. J. Mass Spectrom. Ion Proc 149:609–619Google Scholar
- 17.Turner C, Welch S, Bellingan G, Singer M, Spanel P, Smith D (2005) Analysis of breath using SIFT-MS: a comparison of the breath composition of healthy volunteers and seriously-ill ICU patients. In: Ammann A, Smith D (eds) Breath analysis for clinical diagnosis and therapeutic monitoring. World Scientific Publishing Co. Ptd. Ltd, pp 317–326Google Scholar
- 21.Ligor M, Ligor T, Bajtarevic A, Ager C, Pienz M, Klieber M, Denz H, Fiegl M, Hilbe W, Weiss W, Lukas P, Jamnig H, Hackl M, Buszewski B, Miekisch W, Schubert J, Amann A (2009) Determination of volatile organic compounds in exhaled breath of patients with lung cancer using solid phase microextraction and gas chromatography mass spectrometry. Clin Chem Lab Med 47:550–560CrossRefGoogle Scholar
- 22.Bruce L, Balch T, Veloso M (2000) Fast and inexpensive color image segmentation for interactive robots. In: Proceedings of IROS-2000, pp 2061–2066Google Scholar
- 27.Baumbach JI, Vautz W, Ruzsanyi V, Freitag L (2005) Metabolites in human breath: ion mobility spectrometers as diagnostic tools for lung diseases. In: Ammann A, Smith D (eds) Breath analysis for clinical diagnosis and therapeutic monitoring. World Scientific Publishing Co. Ptd. Ltd, pp 53–66Google Scholar
- 29.Westhoff M, Litterst P, Freitag L, Baumbach JI (2007) Ion mobility spectrometry in the diagnosis of sarcoidosis: results of a feasibility study. J Physiol Pharmacol 58:739–751Google Scholar
- 35.Eiceman GA, Karpas Z (1994) Ion mobility spectrometry. CRC Press, Boca Raton, Ann Arbor, London, Tokyo, pp 1–228Google Scholar
- 39.Horváth I, Barnes PJ, Loukides S, Sterk PJ, Högman M, Olin AC, Amann A, Antus B, Baraldi E, Bikov A, Boots AW, Bos LD, Brinkman P, Bucca C, Carpagnano GE, Corradi M, Cristescu S, de Jongste JC, Dinh-Xuan AT, Dompeling E, Fens N, Fowler S, Hohlfeld JM, Holz O, Jöbsis Q, Van De Kant K, Knobel HH, Kostikas K, Lehtimäki L, Lundberg J, Montuschi P, Van Muylem A, Pennazza G, Reinhold P, Ricciardolo FLM, Rosias P, Santonico M, van der Schee MP, van Schooten FJ, Spanevello A, Tonia T, Vink TJ (2017) A European Respiratory Society technical standard: exhaled biomarkers in lung disease. Eur Respir J 49:1600965CrossRefGoogle Scholar
- 40.Baumbach JI, Westhoff M (2006) Ion mobility spectrometry to detect lung cancer and airway infections. Spectrosc Eur 18:22–27Google Scholar
- 41.Baumbach JI (2006) Process analysis using ion mobility spectrometry. Anal Bioanal Chem 384(1):059–1070Google Scholar
- 48.Ligor M, Ligor T, Bajtarevic A, Ager C, Pienz M, Klieber M, Denz H, Fiegl M, Hilbe W, Weiss W, Lukas P, Jamnig H, Hackl M, Buszewski B, Miekisch W, Schubert J, Amann A (2009) Determination of volatile organic compounds in exhaled breath of patients with lung cancer using solid phase microextraction and gas chromatography mass spectrometry. Clin Chem Lab Med 47:550–560CrossRefGoogle Scholar
- 51.Filipiak W, Filipiak A, Sponring A, Schmid T, Zelger B, Ager C, Klodzinska E, Denz H, Pizzini A, Lucciarini P, Jamnig H, Troppmair J, Amann A (2014) Comparative analyses of volatile organic compounds (VOCs) from patients, tumors and transformed cell lines for the validation of lung cancer-derived breath markers. J Breath Res 8(2):027111CrossRefGoogle Scholar
- 54.Fuchs P, Loeseken C, Schubert JK, Miekisch W (2010) Breath gas aldehydes as biomarkers of lung cancer. Int J Cancer 126:2663–2670Google Scholar
- 60.Westhoff M, Litterst P, Bödeker B, Baumbach JI (2009) Breath analysis by MCC/IMS in obstructive sleep apnoea. Somnologie 63(Suppl. 2)Google Scholar
- 61.Capone S, Tufariello M, Forleo A, Longo V, Giampetruzzi L, Radogna AV, Casino F, Siciliano P (2018) Chromatographic analysis of VOC patterns in exhaled breath from smokers and nonsmokers. Biomed Chromatogr 32(4). https://doi.org/10.1002/bmc.4132