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Scientific Articles - PTR-MS Bibliography

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Found 5 results
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Filters: Author is Beauchamp, J  [Clear All Filters]
[Kohl2013a] Kohl, I., J. Beauchamp, F. Cakar-Beck, J. Herbig, J. Dunkl, O. Tietje, M. Tiefenthaler, C. Boesmueller, A. Wisthaler, M. Breitenlechner, et al., "Non-invasive detection of renal function via breath gas analysis: A potential biomarker for organ acceptance?", 6th International PTR-MS Conference on Proton Transfer Reaction Mass Spectrometry and Its Applications, pp. 24, 2013.
Breath gas analysis is an emerging field that attempts to link components in exhaled breath gas with state-of-health or illness [1]. This is based on the premise that disease in the body will elicit abnormal biochemical reactions which in turn produce chemical compounds that might be excreted by the body - at least in part - via exhalation. We used PTR-MS to directly sample and analyse selected VOC constituents in the exhaled breath of patients (n=96) undergoing kidney transplantation. Breath samples were taken before surgery and then over an extended period thereafter. Comparison of PTR-MS data with routine blood-serum data revealed a specific compound (ion trace) at m/z 115 that correlated with creatinine in blood serum and daily urine production, which are the current generally-accepted markers for kidney function. PTR-TOF analyses revealed that this compound had an exact molecular mass of 114.104 u and a chemical composition of C7H14O. Subsequent analyses using PTR-QqQ-MS suggested the compound to be a C7-ketone or branched C7-aldehyde. It is hoped that the results of this study will provide impetus to other researchers in the field to further delve into the nature of this compound and its possible biochemical production routes to ascertain the eligibility of this compound for potential use in future routine breath analysis for renal function assessment.
[Beauchamp2011] Beauchamp, J., "Inhaled today, not gone tomorrow: pharmacokinetics and environmental exposure of volatiles in exhaled breath", Journal of Breath Research, vol. 5, no. 3: IOP Publishing, pp. 037103, 2011.
The chemical analysis of exhaled breath gas to assess state of health or identify disease biomarkers has gained growing interest in recent years, with advances in new technologies providing scientists and physicians with a powerful analytical arsenal with which to tackle pertinent issues. The application of these methods for pharmacokinetic studies, however, has received less attention despite its enormous potential in this field. For instance, breath gas analysis may be employed to characterize uptake and distribution within the body of exogenous volatile compounds, either from a pharmaceutical point of view, or in relation to environmental inhalation exposure. Both of these topics can benefit greatly from utilizing breath gas complementarily or as a surrogate to blood as an analytical medium, since breath sampling is non-invasive, inexhaustible, and is achievable with a frequency far exceeding that which is feasible for blood. However, because of the efficiency with which certain exogenous compounds are reflected in breath, this can also often be a significant source of confounding variables that require consideration in routine breath gas analyses. This paper provides an overview of the possibilities of breath gas analysis for pharmacokinetics and environmental exposure investigations and discusses the presence of exogenous compounds in standard breath analyses and their repercussions in terms of erroneous data interpretation.
[Beauchamp2009] Beauchamp, J., J. Frasnelli, A. Buettner, M. Scheibe, A. Hansel, and T. Hummel, "PTR-MS Characterisation of an Olfactometer", CONFERENCE SERIES, pp. 186, 2009.
[Spirig2005] Spirig, C., A. Neftel, C. Ammann, J. Dommen, W. Grabmer, A. Thielmann, A. Schaub, J. Beauchamp, A. Wisthaler, A. Hansel, et al., "Eddy covariance flux measurements of biogenic VOCs during ECHO 2003 using proton transfer reaction mass spectrometry", Atmospheric Chemistry and Physics, vol. 5, no. 2, pp. 465–481, 2005.
Within the framework of the AFO 2000 project ECHO, two PTR-MS instruments were operated in combination with sonic anemometers to determine biogenic VOC fluxes from a mixed deciduous forest site in North-Western Germany. The measurement site was characterised by a forest of inhomogeneous composition, complex canopy structure, limited extension in certain wind directions and frequent calm wind conditions during night time. The eddy covariance (EC) technique was applied since it represents the most direct flux measurement approach on the canopy scale and is, therefore, least susceptible to these non-ideal conditions. A specific flux calculation method was used to account for the sequential multi-component PTR-MS measurements and allowing an individual delay time adjustment as well as a rigorous quality control based on cospectral analysis. The validated flux results are consistent with light and temperature dependent emissions of isoprene and monoterpenes from this forest, with average daytime emissions of 0.94 and 0.3µg m-2s-1, respectively. Emissions of methanol reached on average 0.087µg m-2s-1 during daytime, but fluxes were too small to be detected during night time. Upward fluxes of the isoprene oxidation products methyl vinyl ketone (MVK) and methacrolein (MACR) were also found, being two orders of magnitude lower than those of isoprene. Calculations with an analytical footprint model indicate that the observed isoprene fluxes correlate with the fraction of oaks within the footprints of the flux measurement.
[Beauchamp2004] Beauchamp, J., A. Wisthaler, W. Grabmer, C. Neuner, A. Weber, and A. Hansel, "Short-term measurements of CO, NO, NO< sub> 2, organic compounds and PM< sub> 10 at a motorway location in an Austrian valley", Atmospheric environment, vol. 38, no. 16: Elsevier, pp. 2511–2522, 2004.
In situ measurements of CO, NOx, PM10 and certain organic compounds took place over an 11 day period encompassing a 12 h motorway blockade. Located within the Inn valley (Tirol, Austria), the monitoring site experiences varying meteorological conditions and traffic frequency throughout the day which both strongly influence air pollutant levels. Early morning increases of NOx, PM10 and aromatic hydrocarbons were clearly correlated with rising traffic. Midday minima and afternoon maxima may be explained by changing wind conditions and varying inversion layer dynamics. Night time lows in concentrations can be explained by minimal traffic activity. Classification of compound sources was made through grouping of data, separated into times when heavy duty vehicles (HDV) were permitted to use the motorway and HDV-ban periods. Increased levels of NOx and PM10 were observed from data that included periods of high HDV numbers, with levels decreasing significantly during HDV-ban periods. In contrast, the aromatic hydrocarbons and CO displayed only minor variations between these two periods. Furthermore, on typical workdays NOx levels reached a maximum that corresponded to a peak in HDV numbers, whereas the aromatic compounds peaked later when LDV numbers had reached their maximum. Our findings give strong evidence that increased NOx and PM10 levels can be predominantly attributed to HDV traffic. Principal components analyses for the separated data further support this conclusion.

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Selected PTR-MS related Reviews

F. Biasioli, C. Yeretzian, F. Gasperi, T. D. Märk: PTR-MS monitoring of VOCs and BVOCs in food science and technology, Trends in Analytical Chemistry 30 (7) (2011).

J. de Gouw, C. Warneke, T. Karl, G. Eerdekens, C. van der Veen, R. Fall: Measurement of Volatile Organic Compounds in the Earth's Atmosphere using Proton-Transfer-Reaction Mass Spectrometry. Mass Spectrometry Reviews, 26 (2007), 223-257.

W. Lindinger, A. Hansel, A. Jordan: Proton-transfer-reaction mass spectrometry (PTR–MS): on-line monitoring of volatile organic compounds at pptv levels, Chem. Soc. Rev. 27 (1998), 347-375.


Lists with PTR-MS relevant publications of the University of Innsbruck can be found here: Atmospheric and indoor air chemistry, IMR, Environmental Physics and Nano-Bio-Physics


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