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Updated: Mar 18, 2026

Air-sampled Filter Analysis for Endotoxins and DNA Content

Air-sampled Filter Analysis for Endotoxins and DNA Content

Published on: March 7, 2016

Quantitative filter forensics for indoor particle sampling.

D Haaland¹, J A Siegel^1,2

¹Department of Civil Engineering, University of Toronto, Toronto, ON, Canada.

|July 8, 2016

Summary

This summary is machine-generated.

Filter forensics analyzes HVAC dust to identify indoor contaminants. This study proposes a quantitative method to link filter dust analysis to actual air concentrations, improving indoor air quality assessments.

Keywords:

HVAC dust filtration indoor concentration literature review particle composition

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Area of Science:

Environmental Science
Analytical Chemistry
Occupational Health

Background:

Filter forensics is an emerging technique for indoor air quality assessment.
It involves analyzing dust collected on HVAC filters for particle-bound contaminants.
Past research has identified contaminant differences across buildings but lacked quantification.

Purpose of the Study:

To review existing filter forensics literature.
To identify research gaps, specifically the lack of quantitative analysis.
To propose a quantitative filter forensics approach for measuring indoor air concentrations.

Main Methods:

Literature review of 60 filter forensics investigations.
Identification of trends and limitations in previous studies.
Development of a quantitative method linking filter dust contaminants to air concentrations.

Main Results:

Filter forensics has been used to study various biotic and abiotic contaminants.
Studies consistently show differences in contaminant levels between buildings.
A significant gap exists in the quantitative measurement of indoor air contaminants using this method.

Conclusions:

Quantitative filter forensics offers a promising approach for measuring diverse particle-bound indoor air contaminants.
This method has the potential to significantly advance indoor air quality monitoring.
Further research comparing quantitative filter forensics with alternative sampling techniques is recommended.