Connecticut Agricultural Experiment Station, New Haven, Connecticut, USA.
Department of Environmental Health, Yale School of Public Health, New Haven, Connecticut, USA.
Environ Toxicol Chem. 2022 May;41(5):1193-1201. doi: 10.1002/etc.5226. Epub 2021 Nov 2.
Sewage sludge and wastewater include urine and feces from an entire community, and it is highly likely that this mixture contains chemicals whose presence is dependent on levels of SARS-CoV-2 in the community. We analyzed primary sewage sludge samples collected in New Haven, Connecticut, USA, during the initial wave of the COVID-19 pandemic using liquid chromatography coupled with high-resolution mass spectrometry and performed an exploratory investigation of correlations between chemical features and COVID-19 metrics including concentrations of severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) RNA in the sludge and local COVID-19 case numbers and hospital admissions. Inclusion of all chemical features in this analysis is key for discovering potential indicator compounds for COVID-19, whose structures may not be known. We found correlations with COVID-19 metrics for several identified chemicals as well as many unidentified features in the data, including three potential indicator molecules that are recommended for prioritization in future studies on COVID-19 in wastewater and sludge. These features have molecular weights of 108.0935, 318.1214, and 331.1374. While it is not possible to achieve prediction of COVID-19 epidemiological metrics from the one data set used in the present study, advances in this research area are important to share as scientists worldwide work on discovering efficient methods for tracking SARS-CoV-2 in wastewater and the environment. Environ Toxicol Chem 2022;41:1193-1201. © 2021 SETAC.
污水污泥和废水包括整个社区的尿液和粪便,其中很可能含有化学物质,其存在取决于社区中 SARS-CoV-2 的水平。我们使用液相色谱-高分辨率质谱联用技术分析了美国康涅狄格州纽黑文市在 COVID-19 大流行初期采集的初级污水污泥样本,并对化学特征与 COVID-19 指标(包括污泥中严重急性呼吸综合征冠状病毒 2 (SARS-CoV-2) RNA 的浓度和当地 COVID-19 病例数和住院人数)之间的相关性进行了探索性研究。在这项分析中纳入所有化学特征对于发现 COVID-19 的潜在指示化合物至关重要,因为这些化合物的结构可能未知。我们发现,几种已识别的化学物质以及数据中的许多未识别特征与 COVID-19 指标相关,其中包括三个建议在未来污水和污泥中 COVID-19 研究中优先考虑的潜在指示分子。这些特征的分子量分别为 108.0935、318.1214 和 331.1374。虽然不可能根据本研究中使用的一个数据集来预测 COVID-19 流行病学指标,但该研究领域的进展对于全世界科学家在发现追踪 SARS-CoV-2 在污水和环境中的有效方法方面非常重要。Environ Toxicol Chem 2022;41:1193-1201. © 2021 SETAC.