Link between SARS-CoV-2 emissions and airborne concentrations: Closing the gap in understanding

Autor: G. Buonanno, A. Robotto, E. Brizio, L. Morawska, A. Civra, F. Corino, D. Lembo, G. Ficco, L. Stabile
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Environmental Engineering
Health
Toxicology and Mutagenesis

Air Microbiology
FOS: Physical sciences
RT-qPCR
reverse transcription-quantitative polymerase chain reaction

LoD
limit of detection

ORF
open reading frames

Airborne virus transmission
DMEM
Dulbecco's Modified Eagle's Medium

Hospital
PCR
polymerase chain reaction

PBS
phosphate buffered saline

PTFE
Polytetrafluoroethylene

Airborne SARS-CoV-2 concentration
COVID-19
Metrological compatibility analysis
Aerosols
Humans
Viral Load
SARS-CoV-2
Environmental Chemistry
CT
cycle threshold

RdRp
RNA-dependent RNA polymerase

Physics - Biological Physics
Waste Management and Disposal
Viral RNA
viral ribonucleic acid

COVID-19
Coronavirus disease 2019

SARS-CoV-2
Severe acute respiratory syndrome coronavirus 2

Pollution
Physics - Medical Physics
AER
air exchange rate

Biological Physics (physics.bio-ph)
RP
RNase P

HEPA filter
High Efficiency Particulate Air filter

Medical Physics (physics.med-ph)
Research Paper
Zdroj: Journal of Hazardous Materials
Popis: The airborne transmission of SARS-CoV-2 remains surprisingly controversial; indeed, health and regulatory authorities still require direct proof of this mode of transmission. To close this gap, we measured the viral load of SARS-CoV-2 of an infected subject in a hospital room (through an oral and nasopharyngeal swab), as well as the airborne SARS-CoV-2 concentration in the room resulting from the person breathing and speaking. Moreover, we simulated the same scenarios to estimate the concentration of RNA copies in the air through a novel theoretical approach and conducted a comparative analysis between experimental and theoretical results. Results showed that for an infected subject's viral load ranging between 2.4 × 106 and 5.5 × 106 RNA copies mL-1, the corresponding airborne SARS-CoV-2 concentration was below the minimum detection threshold when the person was breathing, and 16.1 (expanded uncertainty of 32.8) RNA copies m-3 when speaking. The application of the predictive approach provided concentrations metrologically compatible with the available experimental data (i.e. for speaking activity). Thus, the study presented significant evidence to close the gap in understanding airborne transmission, given that the airborne SARS-CoV-2 concentration was shown to be directly related to the SARS-CoV-2 emitted. Moreover, the theoretical analysis was shown to be able to quantitatively link the airborne concentration to the emission.
Graphical Abstract ga1
Databáze: OpenAIRE