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Fungal biomass detection on HVAC filters as good predictors for viable bioburden
Project EXPOsE – Establishing protocols to assess occupational exposure to microbiota in clinical settings. Project 02/SAICT/2016 – Project nº 23222. ; Heating, ventilation, and air conditioning (HVAC) filters have been successfully used to characterize the bioburden of indoor environments. This passive sampling approach uses the HVAC filters as integrated, long-term samplers of particle-bound contaminants, such as fungi and bacteria. Furthermore, fungal biomass detection as an analyses approach of HVAC filters can be a useful methodology, since molecular based-studies have already linked bioburden to health outcomes. Thus, the aim of this study was to verify if fungal biomass can be a good predictor for bacterial and fungal counts in HVAC filters. ; info:eu-repo/semantics/publishedVersion
Fungal biomass detection on HVAC filters as good predictors for viable bioburden
Project EXPOsE – Establishing protocols to assess occupational exposure to microbiota in clinical settings. Project 02/SAICT/2016 – Project nº 23222. ; Heating, ventilation, and air conditioning (HVAC) filters have been successfully used to characterize the bioburden of indoor environments. This passive sampling approach uses the HVAC filters as integrated, long-term samplers of particle-bound contaminants, such as fungi and bacteria. Furthermore, fungal biomass detection as an analyses approach of HVAC filters can be a useful methodology, since molecular based-studies have already linked bioburden to health outcomes. Thus, the aim of this study was to verify if fungal biomass can be a good predictor for bacterial and fungal counts in HVAC filters. ; info:eu-repo/semantics/publishedVersion
Fungal biomass detection on HVAC filters as good predictors for viable bioburden
Viegas, Carla (author) / Almeida, Beatriz (author) / Monteiro, Ana (author) / Marchand, G. (author)
2019-09-01
Conference paper
Electronic Resource
English
DDC:
690
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