Calibration and numerical simulation of Nanoparticle Surface Area Monitor (TSI Model 3550 NSAM)
- 190 Downloads
TSI Nanoparticle Surface Area Monitor (NSAM) Model 3550 has been developed to measure the nanoparticle surface area deposited in different regions of the human lung. It makes use of an adjustable ion trap voltage to match the total surface area of particles, which are below 100 nm, deposited in tracheobronchial (TB) or alveolar (A) regions of the human lung. In this paper, calibration factors of NSAM were experimentally determined for particles of different materials. Tests were performed using monodisperse (Ag agglomerates and NaCl, 7–100 nm) and polydisperse particles (Ag agglomerates, number count mean diameter below 50 nm). Experimental data show that the currents in NSAM have a linear relation with a function of the total deposited nanoparticle surface area for the different compartments of the lung. No significant dependency of the calibration factors on particle materials and morphology was observed. Monodisperse nanoparticles in the size range where the response function is in the desirable range can be used for calibration. Calibration factors of monodisperse and polydisperse Ag particle agglomerates are in good agreement with each other, which indicates that polydisperse nanoparticles can be used to determine calibration factors. Using a CFD computer code (Fluent) numerical simulations of fluid flow and particle trajectories inside NSAM were performed to estimate response function of NSAM for different ion trap voltages. The numerical simulation results agreed well with experimental results.
Keywordsnanoparticle surface area deposition in compartments of human lung tracheobronchial alveolar instrumentation, occupational health
Unable to display preview. Download preview PDF.
- Fissan H. & T. Kuhlbusch, 2005. Strategies and instrumentation for nanoparticle exposure control in air at workplaces. 2nd International symposium on nanotechnology and occupational health, Minneapolis, USA, October 3–6, 2005Google Scholar
- Fissan H., A. Trampe, S. Neunman, D.Y.H Pui & W.G. Shin, 2006. Rationale and principle of an instrument measuring lung deposition area. J. Nanoparticle Research (this issue)Google Scholar
- ICRP. (1994). International Commission on Radiological Protection Publication 66 Human Respiratory Tract Model for Radiological Protection. Oxford, Pergamon, Elsevier Science LtdGoogle Scholar
- James A.C., M.R. Bailey & M-D. Dorrian, 2000. LUDEP Software, Version 2.07: Program for implementing ICRP-66 Respiratory tract model. RPB, Chilton, Didcot, OXON. OX11 ORQ UKGoogle Scholar
- Kaufman S.L., A. Medved, A. Pöcher, N. Hill, R. Caldow & F.R. Quant, 2002. An electrical aerosol detector based on the corona-jet charger. AAAR conference (poster)Google Scholar
- Maynard A.D., 2003. Estimating aerosol surface area from number and mass concentration measurements. Ann. Occup. Hygiene 47, 123–144Google Scholar
- Oberdorster G., Gelein R.M., Ferin J., Weiss B. (1995). Association of particulate air pollution and acute mortality: involvement of ultrafine particles. Inhal. Toxicol. 7:111–124Google Scholar
- Oberdorster G. (1996). Significance of particle parameters in the evaluation of exposure-dose-response relationships of inhaled particles. Particulate Sci. Technol. 14(2):135–151Google Scholar
- Wilson W.E., H.-S. Han, J. Stanek, J. Turner & D.Y.H. Pui, 2003. The Fuchs surface area measured by charge acceptance of atmospheric particles may be a useful indicator of the quantity of particle surface area deposited in the lung. Abstracts of the European aerosol conference. S421-S422. Madrid, SpainGoogle Scholar
- Wilson W.E., H.-S. Han, J. Stanek, J. Turner, D.-R. Chen & D.Y.H. Pui, 2004. Use of electrical aerosol detector as an indicator for the total particle surface area deposited in the lung. Symp. On air quality measurement methods and technology sponsored by air and waste management association. Research triangle park, NC. Paper #37.Google Scholar