Airborne Legionella bacteria from pulp waste treatment plant: aerosol particles characterized as aggregates and their potential hazard
In response to reported outbreaks of Legionnaires’ disease near a biological waste treatment plant, Legionella -containing aerosols were characterized at this location. Culturable bacteria-containing particles were assessed with slit-to-agar samplers and liquid impingement. Results showed that the a...
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Published in | Aerobiologia Vol. 27; no. 2; pp. 147 - 162 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Dordrecht
Springer Netherlands
01.06.2011
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Subjects | |
Online Access | Get full text |
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Summary: | In response to reported outbreaks of Legionnaires’ disease near a biological waste treatment plant,
Legionella
-containing aerosols were characterized at this location. Culturable bacteria-containing particles were assessed with slit-to-agar samplers and liquid impingement. Results showed that the air at this location contained a higher level of airborne
Legionella
particles compared to that of a control clean location 90 km away. On average, about 1 of 50 culturable particles contained
Legionella
(2%). The median particle size was estimated to 3.5 μm permitting an estimation of a maximum about 147
Legionella
cells per aggregate. This implies that in <11 h, a human under such conditions (worse-case), may inhale an estimated lethal dose of individual
Legionella
cells (1,000 cells, 100% alveolar retained deposition level). Additionally, 44 taxonomically different airborne bacterial genera were measured at the treatment plant using denaturing gradient-gel electrophoresis (DGGE) and 16S rDNA analysis of air samples. Of these, 64% of the genera were not detected at the clean location. Our findings suggest that the treatment facility may emit respirable particles, as complex aggregates, containing a mixture of several
Legionella
cells and other bacterial cells. These findings can potentially have an impact on assessing environmental risk exposure and health hazard prediction modeling. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
ISSN: | 0393-5965 1573-3025 |
DOI: | 10.1007/s10453-010-9184-9 |