![]() J Nanopart Res 12:1989–1995īau S, Witschger O, Gensdarmes F, Rastoix O, Thomas D (2010b) A TEM-based method as an alternative to the BET method for measuring off-line the specific surface area of nanoaerosols. doi: 10.1088/1742-6596/402īau S, Witschger O, Gensdarmes F, Thomas D, Borra JP (2010a) Electrical properties of airborne nanoparticles produced by a commercial spark-discharge generator. Appl Phys Lett 99(194103):1–3īau S, Witschger O (2013) A modular tool for analyzing cascade impactors data to improve exposure assessment to airborne nanomaterials. In addition to their effective density, the mass-mobility exponents and primary particle diameters were determined for these particles, and found to agree well with published data.Īnastasopol A, Pfeiffer TV, Schmidt-Ott A, Mulder FM, Eijt SWH (2011) Fractal disperse hydrogen sorption kinetics in spark discharge generated Mg/NbO x and Mg/Pd nanocomposites. Accounting for their wide use in different domains, airborne nanoparticles of constantan ®, copper, graphite, iron, silver and titanium, produced by spark discharge appear to be representative of ultrafine particles stemming from different industrial processes. It emerged from experimental data that a compromise between separation efficiency and detection limit shall be found, depending on the nanoparticles to characterize. In particular, the influence of APM rotational velocity and airflow rate were investigated with regards to the separation of multiply charged particles and electrometer signal. The methodology was first applied to spherical model particles to validate the associated data treatment and protocol. The approach chosen in this study is based on the tandem measurement of airborne nanoparticles electrical mobility and mass (tandem differential mobility analyzer/aerosol particle mass analyzer), which major advantage lies in the absence of hypothesis contrary to the tandem differential mobility analyzer/electrical low pressure impactor (DMA/ELPI). Because it cannot be measured directly, different methods have been developed to accede to this parameter. Effective density is among the key characteristics of airborne nanoparticles due to its role in particle deposition in the human respiratory tract and in the conversion of number distributions to mass distributions. As yet, their health effects are incompletely characterized. Nanoparticles are increasingly used in a wide variety of industries.
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