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Spectroscopic characterization of N(2)O aggregates: from clusters to the particulate state
Authors:Kunzmann M K  Bauerecker S  Suhm M A  Signorell R
Affiliation:1. SINTEF Materials and Chemistry, Department of Kinetic and Catalysis, Postbox 4760, Sluppen, N-7465 Trondheim, Norway;2. Department of Chemical Engineering, Norwegian University of Science and Technology (NTNU), N-7491 Trondheim, Norway;1. Environmental Research Institute, School of Environmental Science and Engineering, Shandong University, Jinan 250100, China;2. Graduate School of Environmental Studies, Nagoya University, Nagoya 464-8601, Japan;3. College of Urban and Environmental Sciences, Northeast Normal University, Changchun 130024, China;4. School of Marine Science, China University of Geosciences, Beijing 100038, China;5. Laboratory for Earth Surface Processes, Department of Geography, Peking University, Beijing 100871, China;6. Department of Environmental Science and Engineering, Xi''an Jiaotong University, Xi''an 710049, China;7. Center for Environmental Measurement and Analysis, National Institute for Environmental Studies, Tsukuba Ibaraki 305-8506, Japan;8. State Key Laboratory of Nuclear Science and Technology and Institute of Heavy Ion Physics, School of Physics, Peking University, Beijing 100871, China
Abstract:Collisional cooling is used to generate N(2)O particles with radii ranging from the subnanometer to the submicrometer region. The vibrational dynamics of the aggregates is studied by Fourier transform infrared spectroscopy. In the region of the stretching fundamentals and combination bands, the infrared spectra of the particles exhibit characteristic size-dependent features. For the very small particles, the results obtained from collisional cooling are compared for the first time with corresponding results from supersonic jet expansions. It turns out that with both methods very similar clusters are generated. A pronounced temperature dependence of a combination band maximum in the collisional cooling cell spectra is found. This correlation is exploited to estimate cluster temperatures in supersonic jet spectra.
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