Literature DB >> 27924457

Comparison of methods to evaluate the fungal biomass in heating, ventilation, and air-conditioning (HVAC) dust.

Marie-Jeanne Biyeyeme Bi Mve1,2, Yves Cloutier1, Nancy Lacombe1, Jacques Lavoie1,2, Maximilien Debia2, Geneviève Marchand3,4.   

Abstract

Heating, ventilation, and air-conditioning (HVAC) systems contain dust that can be contaminated with fungal spores (molds), which may have harmful effects on the respiratory health of the occupants of a building. HVAC cleaning is often based on visual inspection of the quantity of dust, without taking the mold content into account. The purpose of this study is to propose a method to estimate fungal contamination of dust in HVAC systems. Comparisons of different analytical methods were carried out on dust deposited in a controlled-atmosphere exposure chamber. Sixty samples were analyzed using four methods: culture, direct microscopic spore count (DMSC), β-N-acetylhexosaminidase (NAHA) dosing and qPCR. For each method, the limit of detection, replicability, and repeatability were assessed. The Pearson correlation coefficients between the methods were also evaluated. Depending on the analytical method, mean spore concentrations per 100 cm2 of dust ranged from 10,000 to 682,000. Limits of detection varied from 120 to 217,000 spores/100 cm2. Replicability and repeatability were between 1 and 15%. Pearson correlation coefficients varied from -0.217 to 0.83. The 18S qPCR showed the best sensitivity and precision, as well as the best correlation with the culture method. PCR targets only molds, and a total count of fungal DNA is obtained. Among the methods, mold DNA amplification by qPCR is the method suggested for estimating the fungal content found in dust of HVAC systems.

Entities:  

Keywords:  Dust; Fungal biomass; HVAC systems; Indoor air quality; Sampling methods

Mesh:

Substances:

Year:  2016        PMID: 27924457     DOI: 10.1007/s10661-016-5682-8

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  18 in total

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Journal:  J Environ Monit       Date:  2010-10-11

3.  Application of a fluorometric method for the detection of mold in indoor environments.

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4.  Validation of the criteria for initiating the cleaning of heating, ventilation, and air-conditioning (HVAC) ductwork under real conditions.

Authors:  Jacques Lavoie; Geneviève Marchand; Yves Cloutier; Jérôme Lavoué
Journal:  J Occup Environ Hyg       Date:  2011-08       Impact factor: 2.155

5.  Comparison of methods for estimating the biomass of three food-borne fungi with different growth patterns.

Authors:  J Schnürer
Journal:  Appl Environ Microbiol       Date:  1993-02       Impact factor: 4.792

6.  Occupational asthma in a factory with a contaminated humidifier.

Authors:  P S Burge; M Finnegan; N Horsfield; D Emery; P Austwick; P S Davies; C A Pickering
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Review 7.  Building-related illnesses.

Authors:  D Menzies; J Bourbeau
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8.  Allergic respiratory disease and fungal remediation in a building in a subtropical climate.

Authors:  J Q Jarvis; P R Morey
Journal:  Appl Occup Environ Hyg       Date:  2001-03

Review 9.  Association of residential dampness and mold with respiratory tract infections and bronchitis: a meta-analysis.

Authors:  William J Fisk; Ekaterina A Eliseeva; Mark J Mendell
Journal:  Environ Health       Date:  2010-11-15       Impact factor: 5.984

10.  FungiQuant: a broad-coverage fungal quantitative real-time PCR assay.

Authors:  Cindy M Liu; Sergey Kachur; Michael G Dwan; Alison G Abraham; Maliha Aziz; Po-Ren Hsueh; Yu-Tsung Huang; Joseph D Busch; Louis J Lamit; Catherine A Gehring; Paul Keim; Lance B Price
Journal:  BMC Microbiol       Date:  2012-11-08       Impact factor: 3.605

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  2 in total

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2.  Austrian Raw-Milk Hard-Cheese Ripening Involves Successional Dynamics of Non-Inoculated Bacteria and Fungi.

Authors:  Narciso M Quijada; Stephan Schmitz-Esser; Benjamin Zwirzitz; Christian Guse; Cameron R Strachan; Martin Wagner; Stefanie U Wetzels; Evelyne Selberherr; Monika Dzieciol
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