INLET CHARACTERISTICS OF BIOAEROSOL SAMPLERS

Citation
Sa. Grinshpun et al., INLET CHARACTERISTICS OF BIOAEROSOL SAMPLERS, Journal of aerosol science, 25(8), 1994, pp. 1503-1522
Citations number
68
Categorie Soggetti
Environmental Sciences","Metereology & Atmospheric Sciences
Journal title
ISSN journal
00218502
Volume
25
Issue
8
Year of publication
1994
Pages
1503 - 1522
Database
ISI
SICI code
0021-8502(1994)25:8<1503:ICOBS>2.0.ZU;2-Y
Abstract
The inlet sampling characteristics of several commercial bioaerosol sa mplers operating in indoor and outdoor environments have been analyzed by use of available and newly developed equations for sampling effici ency. 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 mum, which represents single bact eria, 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. A t wind velocities between 0 and 500 cm s-1, calculations show that the AGI-30 would sample 1-10 mum particles with an inlet sampling efficie ncy of 20-100%. The entrance efficiency of the 6-stage Andersen viable sampler is 90-150% when sampling isoaxially with respect to horizonta l 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 us ed for large particles such as pollen are even less accurate e.g. 10 t imes the ambient concentration of Lycopodium spores has been calculate d to be aspirated by the Lanzoni sampler when operated at 0.5 l min-1 facing the wind at wind velocity of about 500 cm s-1. The actual bioae rosol concentration can be calculated from the measured data by use of the indicated procedures. The sampling efficiency graphs presented ca n be used to bracket the sampling conditions that enable the investiga tor to avoid or minimize significant sampling biases for each sampler. The findings can also be used for the design of new samplers or for i mproving commercially available samplers.