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The influence of relative humidity on rhinovirus infectivity in the aerosol phase

Pourjam Alavijeh, Zhaleh LU ; Menzel, Mandy LU ; Liljenberg, Marcus LU ; Sasinovich, Sviataslau LU ; Medstrand, Patrik LU orcid ; Uller, Lena LU and Alsved, Malin LU orcid (2026) NOSA 2026 Symposium p.99-99
Abstract
Method: Rhinovirus was aerosolized using a BioAerosol Nebulizing Generator (BANG, CH Technologies) into a one-meter flow tube, where it was mixed with particle-free air of a chosen RH. Samples were collected after 8 seconds in aerosol phase into liquid media using BioSpot operating at 12 L/min (Aerosol Devices). Particle size distributions were characterized by an Aerodynamic Particle Sizer (APS, Model 3321, TSI Inc.) and a Scanning Mobility Particle Sizer (SMPS, TSI Inc.), while RH and CO2 levels were monitored with a LI-COR gas analyzer (LI-840 A, Biosciences). Virus genome quantities and infectivity were analyzed via quantitative polymerase chain reaction (qPCR) and the cell infection assay, respectively. Finally, MPN results were... (More)
Method: Rhinovirus was aerosolized using a BioAerosol Nebulizing Generator (BANG, CH Technologies) into a one-meter flow tube, where it was mixed with particle-free air of a chosen RH. Samples were collected after 8 seconds in aerosol phase into liquid media using BioSpot operating at 12 L/min (Aerosol Devices). Particle size distributions were characterized by an Aerodynamic Particle Sizer (APS, Model 3321, TSI Inc.) and a Scanning Mobility Particle Sizer (SMPS, TSI Inc.), while RH and CO2 levels were monitored with a LI-COR gas analyzer (LI-840 A, Biosciences). Virus genome quantities and infectivity were analyzed via quantitative polymerase chain reaction (qPCR) and the cell infection assay, respectively. Finally, MPN results were normalized using viral gene concentration and total collected aerosol mass based on the APS and SMPS measurements.

Results: When infectivity was normalized to viral RNA copies, the highest infectivity was observed at 10% RH (6 × 10⁻⁵ MPN/copy number), followed by 90% RH (1.41 × 10⁻⁵ MPN/copy number), and lowest at 30% RH (8.44 × 10⁻⁶ MPN/copy number). Normalization to the mass of collected aerosol revealed a similar pattern, which was expected, as we predict virus genomes to be evenly distributed in the aerosol and correlate with aerosol mass. Kruskal-Wallis analysis indicated no statistically significant difference across RH levels (p > 0.05). Within each RH group, across a total of 12 runs, aerosol concentration showed up to 8% run-to-run variation from the group mean. More repeats are needed to establish differences.

Discussion and Conclusions: With the setup in this study, we can experimentally assess how short-term exposure to different relative humidity (RH) levels affects rhinovirus infectivity in aerosols phase. While additional experiments are needed to draw firm conclusions, the results of this study can provide crucial data for developing more effective protective measures against the airborne spread of viral diseases, particularly the common cold.
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author
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organization
publishing date
type
Contribution to conference
publication status
published
subject
keywords
Rhinovirus infection, Virus transmission, Bioaerosol
pages
1 pages
conference name
NOSA 2026 Symposium
conference location
Lund, Sweden
conference dates
2026-03-03 - 2026-03-05
language
English
LU publication?
yes
id
d7e6d931-1fd5-4dd0-ab0e-2da292838454
date added to LUP
2026-03-13 11:48:21
date last changed
2026-04-09 10:21:57
@misc{d7e6d931-1fd5-4dd0-ab0e-2da292838454,
  abstract     = {{Method: Rhinovirus was aerosolized using a BioAerosol Nebulizing Generator (BANG, CH Technologies) into a one-meter flow tube, where it was mixed with particle-free air of a chosen RH. Samples were collected after 8 seconds in aerosol phase into liquid media using BioSpot operating at 12 L/min (Aerosol Devices). Particle size distributions were characterized by an Aerodynamic Particle Sizer (APS, Model 3321, TSI Inc.) and a Scanning Mobility Particle Sizer (SMPS, TSI Inc.), while RH and CO2 levels were monitored with a LI-COR gas analyzer (LI-840 A, Biosciences). Virus genome quantities and infectivity were analyzed via quantitative polymerase chain reaction (qPCR) and the cell infection assay, respectively. Finally, MPN results were normalized using viral gene concentration and total collected aerosol mass based on the APS and SMPS measurements.<br/><br/>Results: When infectivity was normalized to viral RNA copies, the highest infectivity was observed at 10% RH (6 × 10⁻⁵ MPN/copy number), followed by 90% RH (1.41 × 10⁻⁵ MPN/copy number), and lowest at 30% RH (8.44 × 10⁻⁶ MPN/copy number). Normalization to the mass of collected aerosol revealed a similar pattern, which was expected, as we predict virus genomes to be evenly distributed in the aerosol and correlate with aerosol mass. Kruskal-Wallis analysis indicated no statistically significant difference across RH levels (p &gt; 0.05). Within each RH group, across a total of 12 runs, aerosol concentration showed up to 8% run-to-run variation from the group mean. More repeats are needed to establish differences.<br/><br/>Discussion and Conclusions:  With the setup in this study, we can experimentally assess how short-term exposure to different relative humidity (RH) levels affects rhinovirus infectivity in aerosols phase. While additional experiments are needed to draw firm conclusions, the results of this study can provide crucial data for developing more effective protective measures against the airborne spread of viral diseases, particularly the common cold.<br/>}},
  author       = {{Pourjam Alavijeh, Zhaleh and Menzel, Mandy and Liljenberg, Marcus and Sasinovich, Sviataslau and Medstrand, Patrik and Uller, Lena and Alsved, Malin}},
  keywords     = {{Rhinovirus infection; Virus transmission; Bioaerosol}},
  language     = {{eng}},
  month        = {{03}},
  pages        = {{99--99}},
  title        = {{The influence of relative humidity on rhinovirus infectivity in the aerosol phase}},
  url          = {{https://lup.lub.lu.se/search/files/246974262/Pourjam_Alavijeh_A._et_al._NOSA-2026.pdf}},
  year         = {{2026}},
}