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Measurements of aerosol particles are vital for enforcing EU air quality regulations to protect human health, and for research on climate change effects. Although metrics such as PM10 and PM2.5 are currently in use, the level of uncertainty of aerosol metrics is too high and the traceability is insufficient. The project AEROMET, which has been started in June 2017 aims at implementing improvements in a) the uncertainty of particle mass, size and number concentration measurements and b) in the characterization of regulated components in airborne particles. Both are demanded by existing networks within the EU as well as by global atmospheric research.
On-site measurement campaigns
One of the objects is the application of mobile x-ray spectroscopy techniques combined with aerosol sampling techniques for quantifying particle compositions in the field for real time analysis. During two in-field measurement campaigns in Budapest, Hungary in May 2018 and Cassino, Italy in September 2018 the size dependent mass concentrations of specific elements in ambient aerosols were monitored under dynamic conditions.
Typically, airborne particles are sampled on filter substrates. During this project new sampling methods with specially designed substrate holders for an in-situ TXRF analysis were developed and applied for the first time. This approach allows a direct time and size resolved analysis without laborious digestion steps and a reduced risk of contamination.
Aerosol particles were sampled in a 13-stage DLPI impactor - size range from 0,03 µm to 10 µm - which was equipped with special adapters for acrylic discs of 30 mm diameter, serving as substrates. TXRF analysis was performed on site with the transportable spectrometer S2 PICOFOX (Bruker Nano GmbH) equipped with a Mo X-ray tube and a 30 mm² Silicon Drift Detector (SDD). Excitation conditions were 50 kV, 600 µA, measurement time 1000 s. Quantification was based on internal standardization using 50 ng of Y in solution, which was pipetted into the centre of the discs prior to sampling.
At moderate air pollution levels, i.e. PM10 ~ 20 µg/m³, sampling times of less than 2 hours were enough for the detection of elements in different particle size bins. The in-situ approach and the high sensitivity of TXRF enables the observation of rather quick changes in the quantity and distribution of elements in an ambient aerosol on the day of sampling, as the below example from the Cassino field campaign on 11 Sept. 2018 shows: The analysis of the morning and afternoon sampling shifts reveals the occurrence of the elements Fe, Ca and Si in different size bins as well as their significant temporal change in respective mass concentrations over the day while the distributions of several other elements in the aerosol remain unchanged.
The validation of these results by backup measurements is planned.
Quantitative chemical analysis of airborne particulate matter (PM) is vital for the understanding of health effects in indoor and outdoor environments, as well as for enforcing air quality regulations. Typically, airborne particles are sampled over long time periods on filters, followed by lab-based analysis, e.g., with inductively coupled plasma mass spectrometry (ICP-MS). Within the EURAMET EMPIR AEROMET project, cascade impactor aerosol sampling was combined for the first time with on-site total reflection X-ray fluorescence (TXRF) spectroscopy to develop a tool for quantifying particle element compositions within short time intervals and even on-site. This makes variations of aerosol chemistry observable with time resolution of only a few hours and with good size resolution in the PM10 range. A proof of principles of this methodological approach and the comparison to standard methods within the scope of a field campaign will be presented. Secondly, aerosol sampling and TXRF analysis seems suitable for the quantification of elements in indoor aerosols as well and may provide an important enhancement of existing methods for the analysis of organic species in aerosols (such as sampling and TD-GC/MS). As an example, the TXRF analysis of particles emitted from laser printers under controlled conditions in an environmental test chamber will be presented.
11 laser printers from 5 manufacturers were purchased in 2017 and tested for their UFP emissions. Size resolved sampling of the emitted particles was done with a 13 stage (30 nm to 10 µm) low pressure cascade impactor. The sampled particles were analysed for their chemical composition by thermal extraction (vaporization at 290°C) followed by GC-MS analysis. High boiling cyclic siloxanes (D10 to D16) were detected as constituents of UFP from laser printers. In comparison to measurements in 2008, aliphatic long-chain alkanes (C22 to C34) were detected additionally as chemical constituents of UFP from most of the tested printers and their amounts were higher than for cyclic siloxanes. Printers of one manufacturer showed very low UPF emissions compared to the other manufacturers.
Previous studies have shown that desktop 3D printers (Fused Filament Fabrication) emit high numbers of particulate matter, mainly as ultrafine particles (UFP, particle diameter less than 100 nm). However, the chemical composition of emitted particles has been less extensively investigated. In this study, we therefore focused on the chemical composition of particles emitted from 3D printing. The measurements were conducted in a 1 m³ emission test chamber. Emitted particles were sampled by a 13-stage low-pressure cascade impactor onto aluminum foils and then analyzed by TD-GC/MS to identify their organic compounds. Nine commercial filaments made from basic polymers such as Acrylonitrile Butadiene Styrene (ABS), Acrylonitrile Styrene Acrylate (ASA), Polycarbonate (PC), Poly(methyl methacrylate) (PMMA), Nylon, High Performance Polystyrene (HIPS) and a copper-filled Polylactide (PLA) were investigated. The results show that the organic components of the particles are primarily plastic additives such as plasticizer, antioxidant agents, lubricants, UV-absorbers and UV-stabilizers from the filaments.