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Found 5 results
Title [ Year(Asc)]
Filters: Author is Müller, J-F  [Clear All Filters]
[Laffineur2011a] Laffineur, Q., M. Aubinet, N. Schoon, C. Amelynck, J-F. Müller, J. Dewulf, H. Van Langenhove, K. Steppe, M. Šimpraga, and B. Heinesch, "Isoprene and monoterpene emissions from a mixed temperate forest", Atmospheric Environment, vol. 45, no. 18: Elsevier, pp. 3157–3168, 2011.
<p>We measured the isoprene and monoterpene fluxes continuously above a mixed forest site at Vielsalm in the eastern part of Belgium, using the disjunct eddy covariance technique with proton transfer reaction-mass spectrometry. Simultaneously, we also measured the carbon dioxide fluxes in order to deduce the gross primary production. The measurements were conducted from July to September 2009. During the day, the seasonal evolution of the isoprene/monoterpene emissions was studied using a monthly temperature and light dependence function deduced from our results to standardize the fluxes. A seasonal decrease in the standard emission factors was observed, probably linked to acclimation or senescence. The standard emission factor for isoprene fluxes (30 &deg;C, 1000 μmol m&minus;2 s&minus;1) fell from 0.91 &plusmn; 0.01 to 0.56 &plusmn; 0.02 μg m&minus;2 s&minus;1 and for monoterpene fluxes from 0.74 &plusmn; 0.03 to 0.27 &plusmn; 0.03 μg m&minus;2 s&minus;1. During the night, a slight positive flux of monoterpenes was observed that seemed to be driven by air temperature. The standard emission factor (30&deg;C) for nighttime monoterpene fluxes was equal to 0.093 &plusmn; 0.019 μg m&minus;2 s&minus;1. Finally, we studied the seasonal evolution of the relationship between the gross primary production and the isoprene/monoterpenes fluxes. A linear relationship was observed, highlighting the strong link between carbon assimilation and isoprene/monoterpene emissions.</p>
[Laffineur2011] Laffineur, Q., B. Heinesch, N. Schoon, C. Amelynck, J-F. Müller, J. Dewulf, H. Van Langenhove, E. Joó, K. Steppe, and M. Aubinet, "What can we learn from year-round BVOC disjunct eddycovariance measurements? A case example from a temperate forest", 5th International PTR-MS Conference on Proton Transfer Reaction Mass Spectrometry and its Applications: Innsbruck university press, 2011.
[Demarcke2010] Demarcke, M., J-F. Müller, N. Schoon, H. Van Langenhove, J. Dewulf, E. Joó, K. Steppe, M. Šimpraga, B. Heinesch, M. Aubinet, et al., "History effect of light and temperature on monoterpenoid emissions from Fagus sylvatica L.", Atmospheric Environment, vol. 44, no. 27: Elsevier, pp. 3261–3268, 2010.
Monoterpenoid emissions from Fagus sylvatica L. trees have been measured at light- and temperature-controlled conditions in a growth chamber, using Proton Transfer Reaction Mass Spectrometry (PTR-MS) and the dynamic branch enclosure technique. De novo synthesized monoterpenoid Standard Emission Factors, obtained by applying the G97 algorithm (Guenther, 1997), varied between 2 and 32 μg gDW−1 h−1 and showed a strong decline in late August and September, probably due to senescence. The response of monoterpenoid emissions to temperature variations at a constant daily light pattern could be well reproduced with a modified version of the MEGAN algorithm (Guenther et al., 2006), with a typical dependence on the average temperature over the past five days. The diurnal emissions at constant temperature showed a typical hysteretic behaviour, which could also be adequately described with the modified MEGAN algorithm by taking into account a dependence on the average light levels experienced by the trees during the past 10–13 h. The impact of the past light and temperature conditions on the monoterpenoid emissions from F. sylvatica L. was found to be much stronger than assumed in previous algorithms. Since our experiments were conducted under low light intensity, future studies should aim at confirming and completing the proposed algorithm updates in sunny conditions and natural environments.
[Joo2010a] Joó, É., J. Dewulf, M. Demarcke, C. Amelynck, N. Schoon, J-F. Müller, M. Šimpraga, K. Steppe, and H. Van Langenhove, "Quantification of interferences in PTR-MS measurements of monoterpene emissions from Fagus sylvatica L. using simultaneous TD-GC-MS measurements", International Journal of Mass Spectrometry, vol. 291, no. 1: Elsevier, pp. 90–95, 2010.
The interest in quantitative analysis of biogenic volatile organic compounds (BVOCs) emissions stems from their importance in atmospheric chemistry. In order to compare the most frequently used BVOC measurement techniques, simultaneous on-line PTR-MS and off-line GC-MS data collection was performed on a 3 years old Fagus sylvatica L. tree placed in a growth chamber. Using an internal standard (deuterated toluene) and applying the selective ion mode (SIM) resulted in significant improvements of monoterpene (MT) quantification by TD-GC-MS. PTR-MS quantification of MTs was based on the ion signal at m/z 137. In the course of the experiments the relative contribution of linalool compared to that of MTs was found to be up to 84%. Since this compound has also a PTR-MS signature at m/z 137, quantification of MT emission rates by PTR-MS was disturbed. Comparison of GC-MS and PTR-MS data allowed an estimation of the ratio of the PTR-MS sensitivity for linalool to the one for MTs at m/z 137. This ratio of sensitivities, combined with the information of the relative contribution of linalool to the sum of linalool and MTs obtained by GC-MS, resulted in accurate derivation of the sum of emission rates of linalool and MTs by PTR-MS. The results indicate that fast and on-line PTR-MS measurements of BVOCs are best accompanied by off-line GC measurements to detect possible interferences or to use the additional information for properly quantifying the sum of emission rates of several compounds.
[Joo2010] Joó, É., H. Van Langenhove, M. Šimpraga, K. Steppe, C. Amelynck, N. Schoon, J-F. Müller, and J. Dewulf, "Variation in biogenic volatile organic compound emission pattern of Fagus sylvatica L. due to aphid infection", Atmospheric Environment, vol. 44, no. 2: Elsevier, pp. 227–234, 2010.
Volatile organic compounds (VOCs) have been the focus of interest to understand atmospheric processes and their consequences in formation of ozone or aerosol particles; therefore, VOCs contribute to climate change. In this study, biogenic VOCs (BVOCs) emitted from Fagus sylvatica L. trees were measured in a dynamic enclosure system. In total 18 compounds were identified: 11 monoterpenes (MT), an oxygenated MT, a homoterpene (C14H18), 3 sesquiterpenes (SQT), isoprene and methyl salicylate. The frequency distribution of the compounds was tested to determine a relation with the presence of the aphid Phyllaphis fagi L. It was found that linalool, (E)-β-ocimene, α-farnesene and a homoterpene identified as (E)-4,8-dimethyl-1,3,7-nonatriene (DMNT), were present in significantly more samples when infection was present on the trees. The observed emission spectrum from F. sylvatica L. shifted from MT to linalool, α-farnesene, (E)-β-ocimene and DMNT due to the aphid infection. Sabinene was quantitatively the most prevalent compound in both, non-infected and infected samples. In the presence of aphids α-farnesene and linalool became the second and third most important BVOC emitted. According to our investigation, the emission fingerprint is expected to be more complex than commonly presumed.

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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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