Classical and molecular methods for identification and quantification of domestic moulds

Affiliation auteurs!!!! Error affiliation !!!!
TitreClassical and molecular methods for identification and quantification of domestic moulds
Type de publicationJournal Article
Year of Publication2017
AuteursFrealle E., Bex V., Reboux G., Roussel S., Bretagne S.
JournalREVUE DES MALADIES RESPIRATOIRES
Volume34
Pagination1124-1137
Date PublishedDEC
Type of ArticleArticle
ISSN0761-8425
Mots-clésDust collector, Environmental air exposure, Household contamination, Mould, quantitative PCR
Résumé

Introduction - To study the impact of the constant and inevitable inhalation of moulds, it is necessary to sample, identify and count the spores. Background. - Environmental sampling methods can be separated into three categories: surface sampling is easy to perform but non quantitative, air sampling is easy to calibrate but provides time limited information, and dust sampling which is more representative of long term exposure to moulds. The sampling strategy depends on the objectives (evaluation of the risk of exposure for individuals; quantification of the household contamination; evaluation of the efficacy of remediation). The mould colonies obtained in culture are identified using microscopy, Maldi-TOF, and/or DNA sequencing. Viewpoints. - Electrostatic dust collectors are an alternative to older methods for identifying and quantifying household mould spores. They are easy to use and relatively cheap. Colony counting should be progressively replaced by quantitative real-time PCR, which is already validated, while waiting for more standardised high throughput sequencing methods for assessment of mould contamination without technical bias. Conclusion. - Despite some technical recommendations for obtaining reliable and comparable results, the huge diversity of environmental moulds, the variable quantity of spores inhaled and the association with other allergens (mites, plants) make the evaluation of their impact on human health difficult. Hence there is a need for reliable and generally applicable quantitative methods. (c) 2017 SPLF. Published by Elsevier Masson SAS. All rights reserved.

DOI10.1016/j.rmr.2017.01.009