Published December 2018 | Version v1
Journal article

Surface and passive/active air mould sampling: A testing exercise in a North London housing estate

  • 1. UK Centre for Moisture in Buildings (UKCMB), London (United Kingdom)
  • 2. Epicentre Research Group, Department of Civil, Environmental and Geomatic Engineering (CEGE), University College London (UCL), London (United Kingdom)
  • 3. Institute of Environmental Design and Engineering (IEDE), University College London (UCL), London (United Kingdom)
  • 4. Mycometer A/S, Horsholm (Denmark)
  • 5. Healthy Infrastructure Research Group, Department of Civil, Environmental and Geomatic Engineering (CEGE), University College London (UCL), London (United Kingdom)

Description

Highlights: • Mould testing of 71 rooms by both a culture-based and a chemical method. • A testing protocol that combines air and surface sampling, and particle counting. • Comparison of passively and actively sampled air readings in relation to the presence of visible mould in the tested rooms. • Investigation of how physical characteristics of the tested properties relate to the measured mould levels. Despite indoor mould being one of the most common problems in residential properties in the UK, there are not any widely accepted methodologies for its measurement. This paper focusses on this problem of measurement and reports on the findings from a rigorous testing scheme carried out to quantify air and surface mould concentrations and particle counts within 71 rooms from 64 properties in North London, some with and some without visible mould. The aim was to investigate the potential of passive and active air sampling strategies (sampling from still and actively mixed air, respectively) to explain visible mould, and understand how home/room characteristics correlate with the obtained readings. Airborne mould levels were quantified using an Andersen sampler (passively and actively), as well as by a chemical method based on the quantification of the N-acetylhexosaminidase (NAHA) activity (actively), which was also used to quantify surface mould. The mould levels were then correlated against physical characteristics of the tested homes/rooms, collected by means of survey sheets developed as part of this study. The findings did not reveal any independent variable governing all or most of the response variables, but a complex analysis suggested that whether it is a house or a flat could depict mould levels in the air and on the surfaces. It was also shown that a robust testing protocol should combine air and surface based methods, and an active air sampling strategy leads to a more accurate appraisal of airborne mould levels. Finally, the results showed that while there is some correlation between visible mould (and other moisture induced problems such as condensation) and measured air mould concentrations, lack of visible mould within a room does not necessarily mean low air mould concentrations, and thus one should not rely solely on visual inspection.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.scitotenv.2018.06.311

Additional details

Identifiers

DOI
10.1016/j.scitotenv.2018.06.311;
PII
S0048969718323878;

Publishing Information

Journal Title
Science of the Total Environment
Journal Volume
643
Journal Page Range
p. 1631-1643
ISSN
0048-9697
CODEN
STENDL

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53014264
Subject category
S54: ENVIRONMENTAL SCIENCES;
Descriptors DEI
AIR POLLUTION; CONCENTRATION RATIO; HOUSES; INDOORS; INSPECTION; MOISTURE; PARTICLES; SAMPLERS; SAMPLING; SURFACES; TESTING
Descriptors DEC
BUILDINGS; DIMENSIONLESS NUMBERS; EQUIPMENT; POLLUTION; RESIDENTIAL BUILDINGS

Optional Information

Copyright
Copyright (c) 2018 The Authors. Published by Elsevier B.V.