Brownian diffusion effect on nanometer aerosol classification in electrical mobility spectrometer
A multi-channel differential mobility analyzer (MCDMA) or aerosol spectrometer is widely used for classifying and measuring nanometer aerosol particles in the size range from 1 nm to 1 μm because of its better time response than a typical differential mobility analyzer. In the present study, the eff...
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th-cmuir.6653943832-14582014-08-29T09:29:19Z Brownian diffusion effect on nanometer aerosol classification in electrical mobility spectrometer Intra P. Tippayawong N. A multi-channel differential mobility analyzer (MCDMA) or aerosol spectrometer is widely used for classifying and measuring nanometer aerosol particles in the size range from 1 nm to 1 μm because of its better time response than a typical differential mobility analyzer. In the present study, the effect of Brownian diffusion on electrical mobility classification and trajectory of nanometer aerosol particles in an electrical mobility spectrometer developed at Chiang Mai University has been analytically investigated. Th Brownian diffusion of particles inside the spectrometer increased with decreasing particle size and flow rates of aerosol and clean sheath air, and with increasing inner electrode voltage, and also decreased with decreasing operating pressure. The particle trajectories considering Brownian diffusion motion inside the spectrometer were found to be broader than those under no Brownian diffusion. Smaller particles were found to have higher degree of broadening of trajectory than the larger particles. Brownian diffusion effect was found to be significant for particles smaller than 10 nm. © 2009 Springer. 2014-08-29T09:29:19Z 2014-08-29T09:29:19Z 2009 Article 02561115 10.1007/s11814-009-0046-5 http://www.scopus.com/inward/record.url?eid=2-s2.0-59349109451&partnerID=40&md5=a991a6f1d7feabed5ee1f00b5b35b5f9 http://cmuir.cmu.ac.th/handle/6653943832/1458 English |
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A multi-channel differential mobility analyzer (MCDMA) or aerosol spectrometer is widely used for classifying and measuring nanometer aerosol particles in the size range from 1 nm to 1 μm because of its better time response than a typical differential mobility analyzer. In the present study, the effect of Brownian diffusion on electrical mobility classification and trajectory of nanometer aerosol particles in an electrical mobility spectrometer developed at Chiang Mai University has been analytically investigated. Th Brownian diffusion of particles inside the spectrometer increased with decreasing particle size and flow rates of aerosol and clean sheath air, and with increasing inner electrode voltage, and also decreased with decreasing operating pressure. The particle trajectories considering Brownian diffusion motion inside the spectrometer were found to be broader than those under no Brownian diffusion. Smaller particles were found to have higher degree of broadening of trajectory than the larger particles. Brownian diffusion effect was found to be significant for particles smaller than 10 nm. © 2009 Springer. |
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Article |
author |
Intra P. Tippayawong N. |
spellingShingle |
Intra P. Tippayawong N. Brownian diffusion effect on nanometer aerosol classification in electrical mobility spectrometer |
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Intra P. Tippayawong N. |
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Intra P. |
title |
Brownian diffusion effect on nanometer aerosol classification in electrical mobility spectrometer |
title_short |
Brownian diffusion effect on nanometer aerosol classification in electrical mobility spectrometer |
title_full |
Brownian diffusion effect on nanometer aerosol classification in electrical mobility spectrometer |
title_fullStr |
Brownian diffusion effect on nanometer aerosol classification in electrical mobility spectrometer |
title_full_unstemmed |
Brownian diffusion effect on nanometer aerosol classification in electrical mobility spectrometer |
title_sort |
brownian diffusion effect on nanometer aerosol classification in electrical mobility spectrometer |
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2014 |
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http://www.scopus.com/inward/record.url?eid=2-s2.0-59349109451&partnerID=40&md5=a991a6f1d7feabed5ee1f00b5b35b5f9 http://cmuir.cmu.ac.th/handle/6653943832/1458 |
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1681419674300973056 |