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A Controlled Study on the Characterisation of Bioaerosols Emissions from Compost.

Authors :
Nasir, Zaheer Ahmad
Rolph, Catherine
Collins, Samuel
Stevenson, David
Gladding, Toni L.
Hayes, Enda
Williams, Ben
Khera, Shagun
Jackson, Simon
Bennett, Allan
Parks, Simon
Kinnersley, Robert P.
Walsh, Kerry
Pollard, Simon J. T.
Drew, Gillian
Alcega, Sonia Garcia
Coulon, Frederic
Tyrrel, Sean
Source :
Atmosphere; Oct2018, Vol. 9 Issue 10, p379, 1p
Publication Year :
2018

Abstract

Bioaerosol emissions arising from biowaste treatment are an issue of public concern. To better characterise the bioaerosols, and to assess a range of measurement methods, we aerosolised green waste compost under controlled conditions. Viable and non-viable Andersen samplers, cyclone samplers and a real time bioaerosol detection system (Spectral Intensity Bioaerosol Sensor (SIBS)) were deployed simultaneously. The number-weighted fraction of fluorescent particles was in the range 22–26% of all particles for low and high emission scenarios. Overall fluorescence spectral profiles seen by the SIBS exhibited several peaks across the 16 wavelength bands from 298 to 735 nm. The size-fractionated endotoxin profile showed most endotoxin resided in the 2.1–9 μm aerodynamic diameter fraction, though up to 27% was found in a finer size fraction. A range of microorganisms were detected through culture, Matrix Assisted Laser Desorption and Ionisation Time of Flight Mass Spectrometry (MALDI-TOF) and quantitative polymerase chain reaction (qPCR), including Legionella pneumophila serogroup 1. These findings contribute to our knowledge of the physico-chemical and biological characteristics of bioaerosols from composting sites, as well as informing future monitoring approaches and data interpretation for bioaerosol measurement. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20734433
Volume :
9
Issue :
10
Database :
Complementary Index
Journal :
Atmosphere
Publication Type :
Academic Journal
Accession number :
132632025
Full Text :
https://doi.org/10.3390/atmos9100379