SARS-CoV-2 Aerosol Susceptibility to Bipolar Ion Disinfection

Following the onset of the COVID-19 pandemic, bipolar ionization (BPI) emerged as a widely implemented technology that purports to reduce human exposure to airborne pathogens. Though BPI has been deployed for bulk-air disinfection to interrupt disease transmission within congregate settings, limited data is present in the peer-reviewed literature to examine the efficacy of bipolar ions to reduce airborne concentrations of infectious enveloped viruses. This study characterizes the effectiveness of BPI to facilitate inactivation and deposition of SARS-CoV-2 aerosols as a function of bipolar ion concentration and develops dose–response relationships for airborne viral decay. While BPI promoted enhanced airborne SARS-CoV-2 inactivation and depositional loss rates at high concentrations (>105 ions cm–3) of bipolar ions, scaling for a small room with realistically attainable ion concentrations (103 ions cm–3) yields an equivalent air exchange rate of less than 0.1 h–1 for airborne SARS-CoV-2, resulting in limited pathogen reduction under ion concentrations that have been reported during full-room applications. The results presented give context to large chamber and full-room studies that observed no additional bioaerosol decay during BPI conditions and enable the scaling of enveloped viral aerosol decay rates under varying ion concentrations and room volumes to assess the application of BPI technology.

Authors

Institutions

Publication Details

Journal
ACS ES&T Air
Published
2025-11-13
DOI
https://doi.org/10.1021/acsestair.5c00313
Citations
1
Primary Topic
Infection Control and Ventilation
Type
article
Field-Weighted Citation Impact
1.52
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

SARS-CoV-2 Aerosol Susceptibility to Bipolar Ion Disinfection

Darryl M. Angel, Keyla Santos Guedes de Sá, Jordan Peccia, Irvan Luhung
1 citations
ACS ES&T Air
Infection Control and Ventilation
1.52
article

SARS-CoV-2 Aerosol Susceptibility to Bipolar Ion Disinfection

Darryl M. Angel, Keyla Santos Guedes de Sá, Jordan Peccia, Irvan Luhung
article en
1 citations

Abstract

Following the onset of the COVID-19 pandemic, bipolar ionization (BPI) emerged as a widely implemented technology that purports to reduce human exposure to airborne pathogens. Though BPI has been deployed for bulk-air disinfection to interrupt disease transmission within congregate settings, limited data is present in the peer-reviewed literature to examine the efficacy of bipolar ions to reduce airborne concentrations of infectious enveloped viruses. This study characterizes the effectiveness of BPI to facilitate inactivation and deposition of SARS-CoV-2 aerosols as a function of bipolar ion concentration and develops dose–response relationships for airborne viral decay. While BPI promoted enhanced airborne SARS-CoV-2 inactivation and depositional loss rates at high concentrations (>105 ions cm–3) of bipolar ions, scaling for a small room with realistically attainable ion concentrations (103 ions cm–3) yields an equivalent air exchange rate of less than 0.1 h–1 for airborne SARS-CoV-2, resulting in limited pathogen reduction under ion concentrations that have been reported during full-room applications. The results presented give context to large chamber and full-room studies that observed no additional bioaerosol decay during BPI conditions and enable the scaling of enveloped viral aerosol decay rates under varying ion concentrations and room volumes to assess the application of BPI technology.

ACS ES&T AirVol. 2(12)
Yale University (US)
Openalex Percentile: Top 13%
Infection Control and Ventilation
1.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.