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在印度南部钦奈解除封锁后对社区污水中的 SARS-CoV-2 和有机示踪剂进行首次监测:方法、出现和共存情况。

First surveillance of SARS-CoV-2 and organic tracers in community wastewater during post lockdown in Chennai, South India: Methods, occurrence and concurrence.

机构信息

Department of Civil Engineering & SRM Research Institute, SRM Institute of Science and Technology, Kancheepuram district, Tamil Nadu 603203, India.

Central Drug Research Institute, Lucknow 226031, India.

出版信息

Sci Total Environ. 2021 Jul 15;778:146252. doi: 10.1016/j.scitotenv.2021.146252. Epub 2021 Mar 6.

Abstract

Surveillance of SARS-CoV-2 and organic tracers (OTs) were conducted in the community wastewater of Chennai city and the suburbs, South India, during partial and post lockdown phases (August-September 2020) as a response to the coronavirus disease 2019 (COVID-19) pandemic. Wastewater samples were collected from four sewage treatment plants (STPs), five sewage pumping stations (SPSs) and at different time intervals from a suburban hospital wastewater (HWW). Four different methods of wastewater concentrations viz., composite (COM), supernatant (SUP), sediment (SED), and syringe filtration (SYR) were subjected to quantitative real time-polymerase chain reaction (qRT-PCR). Unlike HWW, STP inlet, sludge and SPS samples were found with higher loading of SARS-CoV-2 by SED followed by SUP method. Given the higher levels of dissolved and suspended solids in STPs and SPSs over HWW, we suspect that this enveloped virus might exhibit the tendency of higher partitioning in solid phase. Cycle threshold (C) values were < 30 in 50% of the HWW samples indicating higher viral load from the COVID-19 infected patients. In the STP outlets, a strict decline of biochemical oxygen demand, >95% removal of caffeine, and absence of viral copies reflect the efficiency of the treatment plants in Chennai city. Among the detected OTs, a combination of maximum dynamic range and high concurrence percentage was observed for caffeine and N1 gene of SARS-CoV-2. Hence, we suggest that caffeine can be used as an indicator for the removal of SARS-CoV-2 by STPs. Our predicted estimated number of cases are in line with the available clinical data from the catchments. Densely distributed population of the Koyambedu catchment could be partly responsible for the high proportion of estimated infected individuals during the study period.

摘要

在印度南部钦奈市及其郊区,部分和封锁后阶段(2020 年 8 月至 9 月)进行了 SARS-CoV-2 和有机示踪剂(OTs)的监测,以应对 2019 年冠状病毒病(COVID-19)大流行。从四个污水处理厂(STP)、五个污水泵站(SPS)和郊区医院废水(HWW)不同时间间隔采集了废水样本。对四种不同的废水浓缩方法,即组合(COM)、上清液(SUP)、沉淀物(SED)和注射器过滤(SYR)进行了定量实时聚合酶链反应(qRT-PCR)。与 HWW 不同,SED 后 SUP 法发现 STP 入口、污泥和 SPS 样本中的 SARS-CoV-2 负载更高。由于 STP 和 SPS 中的溶解和悬浮固体水平高于 HWW,我们怀疑这种包膜病毒可能表现出更高的固相分配趋势。50%的 HWW 样本的循环阈值(C)值<30,表明来自 COVID-19 感染患者的病毒载量更高。在 STP 出口处,生化需氧量(BOD)下降超过 95%,咖啡因去除率>95%,病毒拷贝数不存在,这反映了钦奈市处理厂的效率。在所检测到的 OTs 中,咖啡因和 SARS-CoV-2 的 N1 基因表现出最大动态范围和高并发百分比的组合。因此,我们建议咖啡因可用作 STP 去除 SARS-CoV-2 的指示物。我们预测的病例数与集水区现有的临床数据相符。Koyambedu 集水区人口密集,可能是研究期间估计感染人数比例较高的部分原因。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b334/7936810/fc687c065e1a/ga1_lrg.jpg

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