Prevalence of SARS-CoV-2 genes in water reclamation facilities: From influent to anaerobic digester

被引:13
|
作者
Bhattarai, Bishav [1 ]
Sahulka, Sierra Quinn [1 ]
Podder, Aditi [1 ]
Hong, Soklida [1 ]
Li, Hanyan [1 ]
Gilcrease, Eddie [1 ]
Beams, Alex [2 ]
Steed, Rebecca [3 ]
Goel, Ramesh [1 ]
机构
[1] Univ Utah, Dept Civil & Environm Engn, Salt Lake City, UT 84112 USA
[2] Univ Utah, Dept Math, Salt Lake City, UT 84112 USA
[3] Univ Utah, Dept Geog, Salt Lake City, UT 84112 USA
关键词
SARs-CoV-2; Biosolids; Epidemiology; Anaerobic digester; Raw influent; Primary sludge; Disease surveillance; CORONAVIRUSES; SURVIVAL; COVID-19; VIRUSES; RNA;
D O I
10.1016/j.scitotenv.2021.148905
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Several treatment plants were sampled for influent, primary clarifier sludge, return activated sludge (RAS), and anaerobically digested sludge throughout nine weeks during the summer of the COVID-19 pandemic. Primary clarifier sludge had a significantly higher number of SARS-CoV-2 gene copy number per liter (GC/L) than other sludge samples, within a range from 1.0 x 10(5) to 1.0 x 10(6) GC/L. Gene copy numbers in raw influent significantly correlated with gene copy numbers in RAS in Silver Creek (p-value = 0.007, R-2 = 0.681) and East Canyon (p-value = 0.009, R-2 = 0.775) WRFs; both of which lack primary clarifiers or industrial pretreatment processes. This data indicates that SARS-CoV-2 gene copies tend to partition into primary clarifier sludges, at which point a significant portion of them are removed through sedimentation. Furthermore, it was found that East Canyon WRF gene copy numbers in influent were a significant predictor of daily cases (p-value = 0.0322, R-2 = 0.561), and gene copy numbers in RAS were a significant predictor of weekly cases (p-value = 0.0597, R-2 = 0.449). However, gene copy numbers found in primary sludge samples from other plants significantly predicted the number of COVID-19 cases for the following week (t = 2.279) and the week after that (t = 2.122) respectively. These data indicate that SARS-CoV-2 extracted from WRF biosolids may better suit epidemiological monitoring that exhibits a time lag. It also supports the observation that primary sludge removes a significant portion of SARS-CoV-2 marker genes. In its absence, RAS can also be used to predict the number of COVID-19 cases due to direct flow through from influent. This research represents the first of its kind to thoroughly examine SARS-CoV-2 gene copy numbers in biosolids throughout the wastewater treatment process and the relationship between primary, return activated, and anaerobically digested sludge and reported positive COVID-19 cases. (C) 2021 Elsevier B.V. All rights reserved.
引用
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页数:13
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