Calibration of complex mixtures in one sweep
- 98 Downloads
The calibration of extremely complex humid gas-phase mixtures – often required in ion mobility spectrometry applications – is challenging, even when high-performance calibration gas generators such as HovaCAL® are applied. Here, we describe an approach to develop and apply mixtures of VOCs in one channel of such a calibration gas generator for a complex calibration in one sweep. As an example, a mixture of so-called “Signs of Life” – compounds available in the exhaled breath and/or in the sweat of everybody was used. The procedure of developing the appropriate mixture and the results of a successful calibration of a GC-ion mobility spectrometer are presented.
KeywordsCalibration Gas-phase Complex mixture Human scent Hidden persons Calibration gas generator
The financial support of the Bundesministerium für Bildung und Forschung and the Ministerium für Innovation, Wissenschaft und Forschung des Landes Nordrhein-Westfalen is gratefully acknowledged. This research was funded by the European Union as part of the project “Detection of olfactory traces by orthogonal gas identification technologies” (DOGGIES), a collaborative project (No. 285446) funded under call identifier FP7-SEC-20011-1, which is part of the FP7 Program. Furthermore, the dedicated support of the workshops at ISAS, Dortmund, Germany and CNR-IMM, Bologna, Italy was indispensable for the success of the present study. Moreover, the steady and easy-going support by IAS, namely Martin Schmäh and his stuff is gratefully acknowledged.
All authors significantly contributed and have given approval to the final version of the manuscript.
Compliance with ethical standards
Conflict of interest
The authors declare no competing financial interest.
- 4.Perl T, Jünger M, Vautz W, Nolte J, Kuhns M, Borg-von Zepelin M, Quintel M (2011) Detection of characteristic metabolites of Aspergillus fumigatus and Candida species using ion mobility spectrometry – metabolic profiling by volatile organic compounds. Mycoses 54(6):e828–e837CrossRefPubMedGoogle Scholar
- 5.Jünger M, Vautz W, Kuhns M, Hofmann L, Ulbricht S, Baumbach JI, Quintel M, Perl T (2012) Ion mobility spectrometry for microbial volatile organic compounds: a new identification tool for human pathogenic bacteria. Appl Microbiol Biotechnol 93(6):2603–2614. https://doi.org/10.1007/s00253-012-3924-4 CrossRefPubMedPubMedCentralGoogle Scholar
- 12.Vautz W, Slodzynski R, Hariharan C, Seifert L, Nolte J, Fobbe R, Sielemann S, Lao BC, Huo R, Thomas CLP, Hildebrand L (2013) Detection of metabolites of trapped humans using ion mobility spectrometry coupled with gas chromatography. Anal Chem 85(4):2135–2142. https://doi.org/10.1021/ac302752f CrossRefPubMedGoogle Scholar
- 15.Arroyo-Manzanares N, Martín-Gómez A, Jurado-Campos N, Garrido-Delgado R, Arce C, Arce L (2018) Target vs spectral fingerprint data analysis of Iberian ham samples for avoiding labelling fraud using headspace – gas chromatography–ion mobility spectrometry. Food Chem 246:65–73CrossRefPubMedGoogle Scholar
- 18.Eiceman GA, Karpas Z, Hill HH Jr (2016) Ion mobility spectrometry, third edition. CRC Press, Taylor & Francis GroupGoogle Scholar
- 26.Ulanowska A, Ligor M, Amann A, Buszewski B (2008) Determination of volatile organic compounds in exhaled breath by ion mobility spectrometry. Chem Anal 53:953–965Google Scholar
- 27.P.J. Linstrom, W.G. Mallard (eds.): NIST Chemistry WebBook, NIST Standard Reference Database Number 69, National Institute of Standards and Technology, Gaithersburg MD, 20899, https://doi.org/10.18434/T4D303, (retrieved June 5, 2018)