Real-time data obtained with an atmospheric pressure chemical ionization
mass spectrometer were used for both qualitative and quantitative evaluation
of air cleaner performance. Differences among air cleaners were evaluated by
performing ANOVA followed by a Bonferroni-normalized multiple comparison
test on the average concentration of each analyte when the air cleaners
were on and off. A mathematical model was developed and applied which
permits air cleaner efficiencies and clean air delivery rates to be determined by
performing a kinetic analysis of the real-time data for each analyte. This new
method for determining clean air delivery rate is broadly applicable to any
steady-state concentration data and does not require real-time data for application.
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