SARS-CoV-2 Detection in Heating, Ventilation, and Air Conditioning Filters of University Lecture Rooms

The COVID-19 pandemic has highlighted the need for effective environmental surveillance tools to monitor respiratory viruses in public spaces, particularly in indoor congregation areas. This study evaluated the potential of using heating, ventilation, and air conditioning (HVAC) filters to detect the presence of SARS-CoV-2 in university lecture rooms. HVAC filters were collected from three air handling units (AHUs) in university buildings between November 2022 and February 2024. Using vacuum-based dust collection, followed by RT-ddPCR analysis, varying levels of SARS-CoV-2 were detected on filters across AHUs. Positive detection rates ranged from 28 to 86% in prefilters and 17–50% in final filters. Viral concentrations in coarse dust varied significantly across AHUs and sampling batches, reaching up to 14,000 genome copies (gc)/g of dust in prefilters. Analysis of fine dust samples showed viral concentrations higher than those of coarse dust when normalized by dust mass. Factors such as the prevalence of COVID-19 on campus, occupancy dynamics, lecture room air distribution systems, and HVAC operation conditions likely contributed to the observed SARS-CoV-2 positive rates and concentrations in dust samples. These findings demonstrated that HVAC filters can serve as a noninvasive tool for SARS-CoV-2 detection in nonhealthcare settings, leveraging existing building infrastructure to support environmental monitoring.

Authors

Institutions

Publication Details

Journal
ACS ES&T Air
Published
2025-06-11
DOI
https://doi.org/10.1021/acsestair.5c00056
Citations
3
Primary Topic
Infection Control and Ventilation
Type
article
Field-Weighted Citation Impact
4.56

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

SARS-CoV-2 Detection in Heating, Ventilation, and Air Conditioning Filters of University Lecture Rooms

Yangyang Zou, Irene Xagoraraki, Heidy Peidro Guzman, Kaisen Lin et al.
3 citations
ACS ES&T Air
Infection Control and Ventilation
4.56
article

SARS-CoV-2 Detection in Heating, Ventilation, and Air Conditioning Filters of University Lecture Rooms

Yangyang Zou, Irene Xagoraraki, Heidy Peidro Guzman, Kaisen Lin, Z. Wang
article en
3 citations

Abstract

The COVID-19 pandemic has highlighted the need for effective environmental surveillance tools to monitor respiratory viruses in public spaces, particularly in indoor congregation areas. This study evaluated the potential of using heating, ventilation, and air conditioning (HVAC) filters to detect the presence of SARS-CoV-2 in university lecture rooms. HVAC filters were collected from three air handling units (AHUs) in university buildings between November 2022 and February 2024. Using vacuum-based dust collection, followed by RT-ddPCR analysis, varying levels of SARS-CoV-2 were detected on filters across AHUs. Positive detection rates ranged from 28 to 86% in prefilters and 17–50% in final filters. Viral concentrations in coarse dust varied significantly across AHUs and sampling batches, reaching up to 14,000 genome copies (gc)/g of dust in prefilters. Analysis of fine dust samples showed viral concentrations higher than those of coarse dust when normalized by dust mass. Factors such as the prevalence of COVID-19 on campus, occupancy dynamics, lecture room air distribution systems, and HVAC operation conditions likely contributed to the observed SARS-CoV-2 positive rates and concentrations in dust samples. These findings demonstrated that HVAC filters can serve as a noninvasive tool for SARS-CoV-2 detection in nonhealthcare settings, leveraging existing building infrastructure to support environmental monitoring.

ACS ES&T AirVol. 2(7)
Michigan State University (US)
College of Engineering, Michigan State University
Affordable and clean energy
Openalex Percentile: Top 5%
Infection Control and Ventilation
4.56
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.

SARS-CoV-2 Detection in Heating, Ventilation, and Air Conditioning Filters of University Lecture Rooms — Yangyang Zou, Irene Xagoraraki, et al. · ACS ES&T Air (2025) | TGRS Research Map | TGRS