PreprintArticleVersion 1Preserved in Portico This version is not peer-reviewed
Application of Adsorption-Extraction and Nanotrap® Microbiome A Particles Workflows for Detection and Quantification of Indicator, Enteric, and Respiratory Viruses in Aircraft Lavatory Wastewater
Version 1
: Received: 5 May 2023 / Approved: 8 May 2023 / Online: 8 May 2023 (10:39:58 CEST)
How to cite:
Ahmed, W.; Smith, W.; Tiwari, A.; Bivins, A.; Simpson, S. Application of Adsorption-Extraction and Nanotrap® Microbiome A Particles Workflows for Detection and Quantification of Indicator, Enteric, and Respiratory Viruses in Aircraft Lavatory Wastewater. Preprints2023, 2023050521. https://doi.org/10.20944/preprints202305.0521.v1
Ahmed, W.; Smith, W.; Tiwari, A.; Bivins, A.; Simpson, S. Application of Adsorption-Extraction and Nanotrap® Microbiome A Particles Workflows for Detection and Quantification of Indicator, Enteric, and Respiratory Viruses in Aircraft Lavatory Wastewater. Preprints 2023, 2023050521. https://doi.org/10.20944/preprints202305.0521.v1
Ahmed, W.; Smith, W.; Tiwari, A.; Bivins, A.; Simpson, S. Application of Adsorption-Extraction and Nanotrap® Microbiome A Particles Workflows for Detection and Quantification of Indicator, Enteric, and Respiratory Viruses in Aircraft Lavatory Wastewater. Preprints2023, 2023050521. https://doi.org/10.20944/preprints202305.0521.v1
APA Style
Ahmed, W., Smith, W., Tiwari, A., Bivins, A., & Simpson, S. (2023). Application of Adsorption-Extraction and Nanotrap® Microbiome A Particles Workflows for Detection and Quantification of Indicator, Enteric, and Respiratory Viruses in Aircraft Lavatory Wastewater. Preprints. https://doi.org/10.20944/preprints202305.0521.v1
Chicago/Turabian Style
Ahmed, W., Aaron Bivins and Stuart Simpson. 2023 "Application of Adsorption-Extraction and Nanotrap® Microbiome A Particles Workflows for Detection and Quantification of Indicator, Enteric, and Respiratory Viruses in Aircraft Lavatory Wastewater" Preprints. https://doi.org/10.20944/preprints202305.0521.v1
Abstract
The effective detection of viruses in aircraft wastewater is crucial to establish surveillance programs for monitoring virus spread via aircraft passengers. This study aimed to compare the performance of two virus concentration workflows, adsorption-extraction (AE) and Nanotrap® Microbiome A Particles (NMAP), in detecting the prevalence and concentrations of 15 endogenous viruses in aircraft lavatory wastewater samples. The viruses tested include two indicator viruses, four enteric viruses, and nine respiratory viruses. The results showed that cross-assembly phage (crAssphage), human polyomavirus (HPyV), rhinovirus A (RhV A), and rhinovirus B (RhV B) were detected in all wastewater samples using both workflows. However, enterovirus (EV), human norovirus (HNoV GII), human adenovirus (HAdV), bocavirus (BoV), parechovirus (PeV), epstein-barr virus (EBV), influenza A virus (IAV), and respiratory syncytial virus B (RsV B) were infrequently detected by both workflows, and hepatitis A virus (HAV), influenza B virus (IBV), and respiratory syncytial virus B (RsV A) were not detected in any samples. The NMAP workflow had greater detection rates of EV, PeV, and RsV B than the AE workflow, while the AE workflow had greater detection rates of HAdV, BoV, and EBV than the NMAP workflow. The concentration of each virus was also analyzed, and the results showed that CrAssphage had the highest mean concentration (6.76 log10 GC/12.5 mL) followed by HPyV (5.46 log10 GC/12.5 mL using the AE workflow, while the mean concentrations of enteric and respiratory viruses ranged from 2.48 to 3.63 log10 GC/12.5 mL. Using the NMAP workflow, the mean concentration of crAssphage was 5.18 log10 GC/12.5 mL and the mean concentration of HPyV was 4.20 log10 GC/12.5 mL, while mean concentrations of enteric and respiratory viruses ranged from 2.55 to 3.74 log10 GC/12.5 mL. The mean concentrations of CrAssphage, HPyV, RhV A, and RhV B between the two workflows were statistically significant (p < 0.05). In summary, the present study provides valuable insights into the performance of virus concentration workflows in detecting and quantifying different viruses in aircraft lavatory wastewater samples. The findings can aid in the selection of an appropriate concentration workflow for virus surveillance studies and contribute to the development of efficient and reliable virus detection methods.
Biology and Life Sciences, Immunology and Microbiology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
