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Quantitative filter forensics for indoor particle sampling
Author(s) -
Haaland D.,
Siegel J. A.
Publication year - 2017
Publication title -
indoor air
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.387
H-Index - 99
eISSN - 1600-0668
pISSN - 0905-6947
DOI - 10.1111/ina.12319
Subject(s) - hvac , environmental science , sampling (signal processing) , contamination , filter (signal processing) , computer science , air conditioning , engineering , ecology , mechanical engineering , computer vision , biology
Filter forensics is a promising indoor air investigation technique involving the analysis of dust which has collected on filters in central forced‐air heating, ventilation, and air conditioning ( HVAC ) or portable systems to determine the presence of indoor particle‐bound contaminants. In this study, we summarize past filter forensics research to explore what it reveals about the sampling technique and the indoor environment. There are 60 investigations in the literature that have used this sampling technique for a variety of biotic and abiotic contaminants. Many studies identified differences between contaminant concentrations in different buildings using this technique. Based on this literature review, we identified a lack of quantification as a gap in the past literature. Accordingly, we propose an approach to quantitatively link contaminants extracted from HVAC filter dust to time‐averaged integrated air concentrations. This quantitative filter forensics approach has great potential to measure indoor air concentrations of a wide variety of particle‐bound contaminants. Future studies directly comparing quantitative filter forensics to alternative sampling techniques are required to fully assess this approach, but analysis of past research suggests the enormous possibility of this approach.