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- Publisher Website: 10.1021/acs.est.2c00974
- WOS: WOS:000815255700001
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Article: Evaluation of RT-qPCR Primer-Probe Sets to Inform Public Health Interventions Based on COVID-19 Sewage Tests
Title | Evaluation of RT-qPCR Primer-Probe Sets to Inform Public Health Interventions Based on COVID-19 Sewage Tests |
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Authors | |
Issue Date | 2022 |
Citation | Environmental Science & Technology, 2022, v. 56, p. 8875-8884 How to Cite? |
Abstract | Abstract Sewage surveillance is increasingly employed as a supplementary tool for COVID-19 control. Experiences learnt from large-scale trials could guide better interpretation of the sewage data for public health interventions. Here, we compared the performance of seven commonly used primer-probe sets in RT-qPCR and evaluated the usefulness in the sewage surveillance program in Hong Kong. All selected primer-probe sets reliably detected SARS-CoV-2 in pure water at 7 copies per μL. Sewage matrix did not influence RT-qPCR determination of SARS-CoV-2 concentrated from a small-volume sewage (30 mL) but introduced inhibitory impacts on a large-volume sewage (920 mL) with a ΔCt of 0.2-10.8. Diagnostic performance evaluation in finding COVID-19 cases showed that N1 was the best single primer-probe set, while the ORF1ab set is not recommended. Sewage surveillance using the N1 set for over 3200 samples effectively caught the outbreak trend and, importantly, had a 56% sensitivity and a 96% specificity in uncovering the signal sources from new cases and/or convalescent patients in the community. Our study paves the way for selecting detection primer-probe sets in wider applications in responding to the COVID-19 pandemic. |
Persistent Identifier | http://hdl.handle.net/10722/314114 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Xu, X | - |
dc.contributor.author | Deng, Y | - |
dc.contributor.author | Zheng, X | - |
dc.contributor.author | Li, S | - |
dc.contributor.author | Ding, J | - |
dc.contributor.author | Yang, Y | - |
dc.contributor.author | On, HY | - |
dc.contributor.author | Yang, RONG | - |
dc.contributor.author | Chui, HO-KWONG | - |
dc.contributor.author | Yau, CY | - |
dc.contributor.author | Tun, HM | - |
dc.contributor.author | Chin, WH | - |
dc.contributor.author | Poon, LML | - |
dc.contributor.author | Peiris, JSM | - |
dc.contributor.author | Leung, GM | - |
dc.contributor.author | Zhang, T | - |
dc.date.accessioned | 2022-07-18T06:11:59Z | - |
dc.date.available | 2022-07-18T06:11:59Z | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | Environmental Science & Technology, 2022, v. 56, p. 8875-8884 | - |
dc.identifier.uri | http://hdl.handle.net/10722/314114 | - |
dc.description.abstract | Abstract Sewage surveillance is increasingly employed as a supplementary tool for COVID-19 control. Experiences learnt from large-scale trials could guide better interpretation of the sewage data for public health interventions. Here, we compared the performance of seven commonly used primer-probe sets in RT-qPCR and evaluated the usefulness in the sewage surveillance program in Hong Kong. All selected primer-probe sets reliably detected SARS-CoV-2 in pure water at 7 copies per μL. Sewage matrix did not influence RT-qPCR determination of SARS-CoV-2 concentrated from a small-volume sewage (30 mL) but introduced inhibitory impacts on a large-volume sewage (920 mL) with a ΔCt of 0.2-10.8. Diagnostic performance evaluation in finding COVID-19 cases showed that N1 was the best single primer-probe set, while the ORF1ab set is not recommended. Sewage surveillance using the N1 set for over 3200 samples effectively caught the outbreak trend and, importantly, had a 56% sensitivity and a 96% specificity in uncovering the signal sources from new cases and/or convalescent patients in the community. Our study paves the way for selecting detection primer-probe sets in wider applications in responding to the COVID-19 pandemic. | - |
dc.language | eng | - |
dc.relation.ispartof | Environmental Science & Technology | - |
dc.title | Evaluation of RT-qPCR Primer-Probe Sets to Inform Public Health Interventions Based on COVID-19 Sewage Tests | - |
dc.type | Article | - |
dc.identifier.email | Deng, Y: dengyu@hku.hk | - |
dc.identifier.email | Yang, Y: yangyuyy@hku.hk | - |
dc.identifier.email | Yau, CY: tansyy@hku.hk | - |
dc.identifier.email | Tun, HM: heinmtun@hku.hk | - |
dc.identifier.email | Chin, WH: alexchin@hku.hk | - |
dc.identifier.email | Poon, LML: llmpoon@hkucc.hku.hk | - |
dc.identifier.email | Peiris, JSM: malik@hkucc.hku.hk | - |
dc.identifier.email | Leung, GM: gmleung@hku.hk | - |
dc.identifier.email | Zhang, T: zhangt@hkucc.hku.hk | - |
dc.identifier.authority | Deng, Y=rp02795 | - |
dc.identifier.authority | Tun, HM=rp02389 | - |
dc.identifier.authority | Chin, WH=rp02345 | - |
dc.identifier.authority | Poon, LML=rp00484 | - |
dc.identifier.authority | Peiris, JSM=rp00410 | - |
dc.identifier.authority | Leung, GM=rp00460 | - |
dc.identifier.authority | Zhang, T=rp00211 | - |
dc.identifier.doi | 10.1021/acs.est.2c00974 | - |
dc.identifier.hkuros | 334277 | - |
dc.identifier.volume | 56 | - |
dc.identifier.spage | 8875 | - |
dc.identifier.epage | 8884 | - |
dc.identifier.isi | WOS:000815255700001 | - |