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  4. Inlet characteristics of bioaerosol samplers
 
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Inlet characteristics of bioaerosol samplers

Journal
Journal of Aerosol Science
Journal Volume
25
Journal Issue
8
Pages
1503-1522
Date Issued
1994
Author(s)
Grinshpun S.A.
CHING-WEN CHANG  
Nevalainen A.
Willeke K.
DOI
10.1016/0021-8502(94)90221-6
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-0000626495&doi=10.1016%2f0021-8502%2894%2990221-6&partnerID=40&md5=bbbb2f5e5ee1b07a32b11e86d5c87a23
https://scholars.lib.ntu.edu.tw/handle/123456789/602382
Abstract
The inlet sampling characteristics of several commercial bioaerosol samplers operating in indoor and outdoor environments have been analyzed by use of available and newly developed equations for sampling efficiency. With a focus on the physical aspects of sampling efficiency, the aspiration and transmission efficiencies have been calculated for the bioaerosol particle size range 1-30 μm, which represents single bacteria, bacteria aggregates, bacteria carrying particles, fungal spores, yeast, and pollen. Under certain sampling conditions, the bioaerosol concentration was found to be significantly over- or underestimated. At wind velocities between 0 and 500 cm s-1, calculations show that the AGI-30 would sample 1-10 μm particles with an inlet sampling efficiency of 20-100%. The entrance efficiency of the 6-stage Andersen viable sampler is 90-150% when sampling isoaxially with respect to horizontal aerosol flows, and 8-100% when oriented vertically at a right angle to the horizontal aerosol flow. For the Burkard portable air sampler, an even wider range of deviation may occur. The bioaerosol samplers used for large particles such as pollen are even less accurate: e.g. 10 times the ambient concentration of Lycopodium spores has been calculated to be aspirated by the Lanzoni sampler when operated at 0.5 1 min-1 facing the wind at wind velocity of about 500 cm s-1. The actual bioaerosol concentration can be calculated from the measured data by use of the indicated procedures. The sampling efficiency graphs presented can be used to bracket the sampling conditions that enable the investigator to avoid or minimize significant sampling biases for each sampler. The findings can also be used for the design of new samplers or for improving commercially available samplers. © 1994.
SDGs

[SDGs]SDG7

Type
journal article

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