Rapid environmental monitoring, capture, and destruction activities of SARS-CoV-2 during the Covid-19 health emergency
Marchetti, R.; Stella, M.; Talukdar, D.; Pileci, R. E.
Show abstract
ObjectivesSARS-CoV-2 pandemic is a health emergency for occupational healthcare workers at COVID19 hospital wards in Italy. The objective of the study was to investigate if U-Earth AIRcel bioreactors were effective in monitoring and improving air quality via detection, capture, and destruction of the SARS-CoV-2 virus, reducing the risk of transmission among healthcare workers. MethodsU-Earth AIRcel bioreactors are a demonstrated effective biomonitoring system. We implemented a methodological approach wherein they were placed at various hospitals treating COVID-19 patients in Italy. The detection of the SARS-CoV-2 virus was achieved through rapid biomonitoring testing of the solutes from the AIRcel bioreactors via SARS-CoV-2 rapid test antigen and consecutive reverse transcription-polymerase chain reaction (RT-PCR) analysis with the multiplex platform (XABT) and the Real-Time PCR Rotor-Gene. ResultsThe marked presence of the SARS-CoV-2 virus was found in multiple water samples via the detection of ORF1ab + N and/or E gene involved in gene expression and cellular signaling of the SARS-CoV virus. The AIRcel bioreactors were able to neutralize the virus effectively as traces of the viruses were no longer found in multiple solute samples after an overnight period. ConclusionsTransmission of COVID-19 via bio-aerosols, transmitted by infected patients, remains a viable threat for health workers. AIRcel bioreactors allow for rapid biomonitoring testing for early virus detection within the environment, reducing the risk of exponential contagion exposure and maintaining good air quality without endangering health workers. This same protocol can also be extended to public spaces as a bio-monitoring tool for hotpots early detection. Key messagesO_ST_ABSWhat is already known about this subject?C_ST_ABSO_LITransmission of SARS-CoV-2 virus via bio-aerosols is a threat to health care workers. Only few studies have conducted investigations on how to limit the spread of the virus via air purifiers. C_LIO_LIExisting studies show a higher risk to health care workers serving at COVID-19 wards with a higher risk of viral transmission. C_LI What are the new findings?O_LIIn this study, SARS-CoV-2 virus traces were captured by U-Earth air purifier bioreactor units placed at several hospitals in Italy. C_LIO_LIAIRcel bioreactors achieved early detection of the SARS-CoV-2 virus within the environment via rapid biomonitoring testing. C_LIO_LIAIRcel bioreactors have proved effective in biomonitoring via the detection, capture, and destruction of SARS-CoV-2 virus through reverse transcription-polymerase chain reaction (RT-PCR) analysis with the multiplex platform (XABT) Multiple Real-Time PCR Rotor-Gene. C_LI How might this impact on policy or clinical practice in the foreseeable future?O_LIThis study shows the need for effective surveillance and biomonitoring to contain the spread of the SARS-CoV-2 virus. AIRcel bioreactors, an effective occupational surveillance system, can reduce the transmission of the virus to health care workers serving COVID-19 infected patients at hospital wards. C_LIO_LIAIRcel bioreactors can also be used in public spaces and other settings, such as schools, to increase the speed of detection of the SARS-CoV-2 virus and improve control of the environment, thereby decreasing the exponential growth of the pandemic. C_LI
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Wastewater-Based Epidemiology and Whole-Genome Sequencing for Community-Level Surveillance of SARS-CoV-2 in Selected Urban Communities of Davao City, Philippines: A Pilot Study 95%
- Quantifying the relationship between SARS-CoV-2 wastewater concentrations and building-level COVID-19 prevalence at an isolation residence using a passive sampling approach 95%
- Understanding SARS-CoV-2 Infection and Dynamics with Long Term Wastewater based Epidemiological Surveillance 95%
Similar papers in this journal
- First wastewater surveillance-based city zonation for effective COVID-19 pandemic preparedness powered by early warning: A study of Ahmedabad, India 97%
- First Detection Of SARS-COV-2 In Untreated Wastewaters In Italy 97%
- An alternative approach for bioanalytical assay development for wastewater-based epidemiology of SARS-CoV-2 96%
Similar papers in this journal
- Air-liquid interface exposure of A549 human lung cells to characterize the hazard potential of a gaseous bio-hybrid fuel blend 97%
- Monitoring occurrence of SARS-CoV-2 in school populations: a wastewater-based approach 96%
- Detection of SARS-Coronavirus-2 in wastewater, using the existing environmental surveillance network: An epidemiological gateway to an early warning for COVID-19 in communities. 95%
Similar papers in this journal
- Unravelling the early warning capability of wastewater surveillance for COVID-19: A temporal study on SARS-CoV-2 RNA detection and need for the escalation 96%
- The Spectre of SARS-CoV-2 in the Ambient Urban Natural Water in Ahmedabad and Guwahati: A Tale of Two Cities 96%
- Antibiotic resistance genes, antibiotic residues, and microplastics in influent and effluent wastewater from treatment plants in Norway, Iceland, and Finland 95%
Similar papers in this journal
- Aerosol Formation During Processing of Potentially Infectious Samples on Roche Immunochemistry Analyzers (cobas e analyzers) and in an End-to-End Laboratory Workflow to Model SARS-CoV-2 Infection Risk for Laboratory Operators 94%
- Assessment of Environmental and Occupational Risk Factors for the Mitigation and Containment of a COVID-19 Outbreak in a Meat Processing Plant 93%
- Microbial communities profiling in intensive care units expose limitations in current sanitary standards 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.