[Mueller2012] "Analysis of high mass resolution PTR-TOF mass spectra from 1, 3, 5-trimethylbenzene (TMB) environmental chamber experiments",
Atmospheric Chemistry and Physics
, vol. 12, no. 2: Copernicus GmbH, pp. 829–843, 2012.
A series of 1,3,5-trimethylbenzene (TMB) photo-oxidation experiments was performed in the 27-m3 Paul Scherrer Institute environmental chamber under various NOx conditions. A University of Innsbruck prototype high resolution Proton Transfer Reaction Time-of-Flight Mass Spectrometer (PTR-TOF) was used for measurements of gas and particulate phase organics. The gas phase mass spectrum displayed 200 ion signals during the TMB photo-oxidation experiments. Molecular formulas CmHnNoOp were determined and ion signals were separated and grouped according to their C, O and N numbers. This allowed to determine the time evolution of the O:C ratio and of the average carbon oxidation state OSC of the reaction mixture. Both quantities were compared with master chemical mechanism (MCMv3.1) simulations. The O:C ratio in the particle phase was about twice the O:C ratio in the gas phase. Average carbon oxidation states of secondary organic aerosol (SOA) samples OSCSOA were in the range of −0.34 to −0.31, in agreement with expected average carbon oxidation states of fresh SOA (OSC = −0.5–0).
[Hansen2012a] "Application of proton-transfer-reaction mass spectrometry to the assessment of odorant removal in a biological air cleaner for pig production.",
J Agric Food Chem
, vol. 60, no. 10: Department of Engineering, Faculty of Science and Technology, Aarhus University, Tjele, Denmark. email@example.com, pp. 2599–2606, Mar, 2012.
There is an urgent need to develop odor reduction technologies for animal production facilities, and this requires a reliable measurement technique for estimating the removal of odorants. The purpose of the present experiment was to investigate the application of proton-transfer-reaction mass spectrometry (PTR-MS) for continuous measurements at a biofilter from SKOV A/S installed at a pig production facility. PTR-MS was able to handle the harsh conditions with high humidity and dust load in a biofilter and provide reliable data for the removal of odorants, including the highly odorous sulfur compounds. The biofilter removed 80-99% of carboxylic acids, aldehydes, ketones, phenols, and indoles and ca. 75% of hydrogen sulfide. However, only 0-15% of methanethiol and dimethyl sulfide was removed. In conclusion, PTR-MS is a promising tool that can be used to improve the development of biological air cleaning and other odor reduction technologies toward significant odorants.
[Kohl2012] "Atemgasanalyse fuer eine zukuenftige nicht-invasive Medizin",
, vol. 6, pp. 21, 2012.
Die Zusammensetzung der Atemluft kann durch Erkrankungen verändert werden. Mit Hilfe von modernen analytischen Messmethoden versucht die Forschung, Zusammenhänge zwischen einzelnen Chemikalien und physiologischen bzw. pathologischen Vorgängen festzustellen. Ziel ist die nicht-invasive Frühdiagnostik von Krankheiten durch Atemgasanalysen. In einer Pilotstudie an der Innsbrucker Universitäts-Fraukenklinik wurden Atemgasproben von Brustkrebspatientinnen systematisch mit einer hochempfindlichen Methode analysiert. Eine signifikante Erniedrigung der Isopren-Konzentration der ausgeatmeten Luft vs. gesunde Kontrollen ist konsistent mit den Ergebnissen von Atemgasstudien bei Lungenkrebspatientinnen.
[Krug2012] "Atemgasanalyse fuer eine zukuenftige nicht-invasive Medizin",
The FASEB Journal, Research Communication
, vol. 12, pp. 2607, 2012.
Metabolic challenge protocols, such as the oral glucose tolerance test, can uncover early alterations in metabolism preceding chronic diseases. Nevertheless, most metabolomics data accessible today reflect the fasting state. To analyze the dynamics of the human metabolome in response to environmental stimuli, we submitted 15 young healthy male volunteers to a highly controlled 4 d challenge protocol, including 36 h fasting, oral glucose and lipid tests, liquid test meals, physical exercise, and cold stress. Blood, urine, exhaled air, and breath condensate samples were analyzed on up to 56 time points by MS- and NMR-based methods, yielding 275 metabolic traits with a focus on lipids and amino acids. Here, we show that physiological challenges increased interindividual variation even in phenotypically similar volunteers, revealing metabotypes not observable in baseline metabolite profiles; volunteer-specific metabolite concentrations were consistently reflected in various biofluids; and readouts from a systematic model of β-oxidation (e.g., acetylcarnitine/palmitylcarnitine ratio) showed significant and stronger associations with physiological parameters (e.g., fat mass) than absolute metabolite concentrations, indicating that systematic models may aid in understanding individual challenge responses. Due to the multitude of analytical methods, challenges and sample types, our freely available metabolomics data set provides a unique reference for future metabolomics studies and for verification of systems biology models.