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|Title:||Parallel Characterizations of Particle Populations with Two Laser Mass Spectrometers LAMPAS 2 and SPASS|
|Authors:||HINZ Klaus-Peter; ERDMANN NICOLE; GRUENING CARSTEN; SPENGLER Bernhard|
|Citation:||INTERNATIONAL JOURNAL OF MASS SPECTROMETRY vol. Special Issue 'Aerosols' no. 258 p. 151-166|
|Publisher:||ELSEVIER SCIENCE BV|
|Type:||Articles in periodicals and books|
|Abstract:||Two transportable laser mass spectrometer instruments, SPASS (Single Particle Analysis and Sizing System) and LAMPAS 2 (Laser Mass Analyzer for Particles in the Airborne State), have been applied to investigate the dependence of spectra patterns on instrumental parameters and data evaluation procedures in an inter-comparison experiment. Laboratory experiments showed the spectral response of both instruments for mineral particles before and after heterogeneous reactions. During a period of 47 hours, both instruments determined size and chemical composition of several thousands of single particles of an ambient particle population. The time-resolved evaluation (1-hour resolution) of specific ion signals, which showed a characteristic temporal evolution, in combination with meteorological information, was used to select four periods for separate evaluation of particle spectra. Application of the two particle classification algorithms, fuzzy c-means clustering and k-means clustering, on the same data set (SPASS) showed minor differences in spectral patterns and class abundances caused by the clustering method (“soft” or “hard” clustering). Spectral patterns determined for the data sets of two instruments (SPASS and LAMPAS 2) were similar for some particle types and could be compared directly (e.g., mineral or carbonaceous particles). For other types of particles, spectral patterns differed from each other and had to be interpreted using additional information on instrumental parameters (e.g. laser wavelengths or irradiance) and experimental conditions. The different response of SPASS and LAMPAS 2 as reflected in the different abundances of particle groups indicates the necessity to determine sensitivity factors for each instrument for different particle classes to enable a direct comparison of quantitative information of such online aerosol mass spectrometers. The reported results are an important basis for a general database of single particle spectra, spectral patterns of common and specific particle classes and abundances of these classes for atmospheric aerosols in dependence on particle size, geographic location, meteorological conditions and time of analysis.|
|JRC Institute:||Sustainable Resources|
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