First comparison of conventional activated sludge versus root-zone treatment for SARS-CoV-2 RNA removal from wastewaters: statistical and temporal significance
Author:
Kumar ManishORCID, Kuroda Keisuke, Joshi Madhvi, Bhattacharya Prosun, Barcelo Damia
Abstract
ABSTRACTIn the initial pandemic phase, effluents from wastewater treatment facilities were reported mostly free from Severe Acute Respiratory Coronavirus 2 (SARS-CoV-2) RNA, and thus conventional wastewater treatments were generally considered effective. However, there is a lack of first-hand data on i) comparative efficacy of various treatment processes for SARS-CoV-2 RNA removal; and ii) temporal variations in the removal efficacy of a given treatment process in the backdrop of active COVID-19 cases. This work provides a comparative account of the removal efficacy of conventional activated sludge (CAS) and root zone treatments (RZT) based on weekly wastewater surveillance data, consisting of forty-four samples, during a two-month period. The average genome concentration was higher in the inlets of CAS-based wastewater treatment plant in the Sargasan ward (1.25 x 103 copies/ L), than that of RZT plant (7.07 x 102 copies/ L) in an academic institution campus of Gandhinagar, Gujarat, India. ORF 1ab and S genes appeared to be more sensitive to treatment i.e., significantly reduced (p <0.05) than N genes (p>0.05). CAS treatment exhibited better RNA removal efficacy (p=0.014) than RZT (p=0.032). Multivariate analyses suggested that the effective genome concentration should be calculated based on the presence/absence of multiple genes. The present study stresses that treated effluents are not always free from SARS-CoV-2 RNA, and the removal efficacy of a given WWTPs is prone to exhibit temporal variability owing to variations in active COVID-19 cases in the vicinity and genetic material accumulation over time. Disinfection seems less effective than the adsorption and coagulation processes for SARS-CoV-2 removal. Results stress the need for further research on mechanistic insight on SARS-CoV-2 removal through various treatment processes taking solid-liquid partitioning into account.Graphical AbstractHighlightsWastewater treatments may not completely remove the SARS-CoV-2 RNA.The activated sludge process exhibited better RNA removal efficacy than root-zone treatment.ORF 1ab and S genes appeared more sensitive to treatment than N genes.Temporal variability is observed in the removal efficacy of wastewater treatment plants.
Publisher
Cold Spring Harbor Laboratory
Reference64 articles.
1. World Health Organization Novel Coronavirus (2019-nCoV) Situation Report – 1 (2020) https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports 2. Bivins, A. , North, D. , Ahmad, A. , Ahmed, W. , Alm, E. , Been, F. , Bhattacharya, P. , Bijlsma, L. , Boehm, A.B. , Brown, J. , Buttiglieri, G. , Calabro, V. , Carducci, A. , Castiglioni, S. , Cetecioglu Gurol, Z. , Chakraborty, S. , Costa, F. , Curcio, S. , De Los Reyes, F.L. , Delgado Vela, J. , Farkas, K. , Fernandez-Casi, X. , Gerba, C. , Gerrity, D. , Girones, R. , Gonzalez, R. , Haramoto, E. , Harris, A. , Holden, P.A. , Islam, M.T. , Jones, D.L. , Kasprzyk-Hordern, B. , Kitajima, M. , Kotlarz, N. , Kumar, M. , Kuroda, K. , La Rosa, G. , Malpei, F. , Mautus, M. , McLellan, S.L. , Medema, G. , Meschke, J.S. , Mueller, J. , Newton, R.J. , Nilsson, D. , Noble, R.T. , Van Nuijs, A. , Peccia, J. , Perkins, T.A. , Pickering, A.J. , Rose, J. , Sanchez, G. , Smith, A. , Stadler, L. , Stauber, C. , Thomas, K. , Van Der Voorn, T. , Wigginton, K. , Zhu, K. , Bibby, K. , 2020. Wastewater-Based Epidemiology: Global Collaborative to Maximize Contributions in the Fight against COVID-19. Environ. Sci. Technol. https://doi.org/10.1021/acs.est.0c02388 3. Xagoraraki, I. , & O’Brien, E. (2020). Wastewater-based epidemiology for early detection of viral outbreaks. In Women in Water Qualit. Springer Nature Switzerland, pp. 75–97 (pp. 75-97). 4. Wastewater-based epidemiology biomarkers: past, present and future;TrAC Trends in Analytical Chemistry,2018 5. Community Sewage Sensors for Monitoring Public Health
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|