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Inactivation of Airborne Microorganisms Using Novel Ultraviolet Radiation Sources in Reflective Flow-Through Control Devices

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Pages 541-550 | Received 09 Nov 2009, Accepted 12 Feb 2010, Published online: 09 Jun 2010

Figures & data

FIG. 1 Schematic of the experimental test system used to evaluate the bench-scale flow-through UVGI control devices.

FIG. 1 Schematic of the experimental test system used to evaluate the bench-scale flow-through UVGI control devices.

FIG. 2 Illustration (not to scale) of the 2-D axisymetric (along dashed line) model geometry for the flow-through control devices with (a) mercury and xenon lamps and (b) LEDs.

FIG. 2 Illustration (not to scale) of the 2-D axisymetric (along dashed line) model geometry for the flow-through control devices with (a) mercury and xenon lamps and (b) LEDs.

FIG. 3 Particle size distributions of mass concentration for (a) B. subtilis and (b) M. parafortuitum bioaerosol.

FIG. 3 Particle size distributions of mass concentration for (a) B. subtilis and (b) M. parafortuitum bioaerosol.
FIG. 3 Particle size distributions of mass concentration for (a) B. subtilis and (b) M. parafortuitum bioaerosol.

FIG. 4 Surviving fraction versus fluence for B. subtilis at 50% relative humidity. Error bars represent one standard deviation of the mean (n = 16).

FIG. 4 Surviving fraction versus fluence for B. subtilis at 50% relative humidity. Error bars represent one standard deviation of the mean (n = 16).

FIG. 5 Surviving fraction versus fluence for B. subtilis at 15% relative humidity. Error bars represent one standard deviation of the mean (n = 14).

FIG. 5 Surviving fraction versus fluence for B. subtilis at 15% relative humidity. Error bars represent one standard deviation of the mean (n = 14).

FIG. 6 Surviving fraction versus fluence for M. parafortuitum at 15% relative humidity. Error bars represent one standard deviation of the mean (n = 9).

FIG. 6 Surviving fraction versus fluence for M. parafortuitum at 15% relative humidity. Error bars represent one standard deviation of the mean (n = 9).

TABLE 1 Experimental scenarios and comparison between control device effectiveness measured experimentally (average +/− SD) and modeled for UV inactivation of airborne B. subtilis and M. parafortuitum

FIG. 7 The UV-C fluence rate for LED control device with coated tube walls as measured by actinometry and predicted by the photon trace model.

FIG. 7 The UV-C fluence rate for LED control device with coated tube walls as measured by actinometry and predicted by the photon trace model.

FIG. 8 The UV-C fluence rate for mercury lamp control device with (a) uncoated and (b) coated tube walls as measured by actinometry and predicted by the photon trace model.

FIG. 8 The UV-C fluence rate for mercury lamp control device with (a) uncoated and (b) coated tube walls as measured by actinometry and predicted by the photon trace model.
FIG. 8 The UV-C fluence rate for mercury lamp control device with (a) uncoated and (b) coated tube walls as measured by actinometry and predicted by the photon trace model.

FIG. 9 The UV-C fluence rate for xenon lamp control device with (a) uncoated and (b) coated tube walls as measured by actinometry and predicted by the photon trace model.

FIG. 9 The UV-C fluence rate for xenon lamp control device with (a) uncoated and (b) coated tube walls as measured by actinometry and predicted by the photon trace model.
FIG. 9 The UV-C fluence rate for xenon lamp control device with (a) uncoated and (b) coated tube walls as measured by actinometry and predicted by the photon trace model.

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