tetano
Editor, Senior Moderator
Sci Total Environ
. 2024 Aug 3:175285.
doi: 10.1016/j.scitotenv.2024.175285. Online ahead of print. Evaluating approach uncertainties of quantitative detection of SARS-CoV-2 in wastewater: Concentration, extraction and amplification
Shaolin Yang[SUP] 1 [/SUP], Yang Jiao[SUP] 2 [/SUP], Qian Dong[SUP] 1 [/SUP], Siqi Li[SUP] 1 [/SUP], Chenyang Xu[SUP] 1 [/SUP], Yanchen Liu[SUP] 3 [/SUP], Lingli Sun[SUP] 4 [/SUP], Xia Huang[SUP] 5 [/SUP]
Affiliations
Substantial uncertainties pose challenges to the accuracy of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) quantification in wastewater. We conducted a comprehensive evaluation of two concentration methods, three nucleic acid extraction methods, and the amplification performance of eight primer-probe sets. Our results showed that the two concentration methods exhibited similar recovery rates. Specifically, using a 30 kDa cut-off ultrafilter and a centrifugal force of 2500 g achieved the highest virus recovery rates (27.32 ± 8.06 % and 26.37 ± 7.77 %, respectively), with lower corresponding quantification uncertainties of 29.51 % and 29.47 % in ultrafiltration methods. Similarly, a 15 % PEG concentration with 1.5 M NaCl markedly improved virus recovery (26.76 ± 5.92 % and 28.47 ± 6.74 %, respectively), and reducing variation to 22.16 % and 23.66 % in the PEG precipitation method. Additionally, employing a vigorous bead-beating approach at 6 m/s during viral RNA extraction significantly increased RNA yield, with an efficiency reaching up to 82.18 %. Among the evaluated eight primer-probe sets, the E_Sarbeco primer-probe set was the most stable and consistent quantitative results across various sample matrices. These findings are crucial for establishing robust viral quantification protocols and enhancing methodological precision for effective wastewater surveillance, enabling sensitive and precise detection of SARS-CoV-2.
Keywords: Primers-probe sets; RNA extraction efficiency; SARS-CoV-2; Wastewater concentration; Wastewater-based epidemiology.
. 2024 Aug 3:175285.
doi: 10.1016/j.scitotenv.2024.175285. Online ahead of print. Evaluating approach uncertainties of quantitative detection of SARS-CoV-2 in wastewater: Concentration, extraction and amplification
Shaolin Yang[SUP] 1 [/SUP], Yang Jiao[SUP] 2 [/SUP], Qian Dong[SUP] 1 [/SUP], Siqi Li[SUP] 1 [/SUP], Chenyang Xu[SUP] 1 [/SUP], Yanchen Liu[SUP] 3 [/SUP], Lingli Sun[SUP] 4 [/SUP], Xia Huang[SUP] 5 [/SUP]
Affiliations
- PMID: 39102960
- DOI: 10.1016/j.scitotenv.2024.175285
Substantial uncertainties pose challenges to the accuracy of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) quantification in wastewater. We conducted a comprehensive evaluation of two concentration methods, three nucleic acid extraction methods, and the amplification performance of eight primer-probe sets. Our results showed that the two concentration methods exhibited similar recovery rates. Specifically, using a 30 kDa cut-off ultrafilter and a centrifugal force of 2500 g achieved the highest virus recovery rates (27.32 ± 8.06 % and 26.37 ± 7.77 %, respectively), with lower corresponding quantification uncertainties of 29.51 % and 29.47 % in ultrafiltration methods. Similarly, a 15 % PEG concentration with 1.5 M NaCl markedly improved virus recovery (26.76 ± 5.92 % and 28.47 ± 6.74 %, respectively), and reducing variation to 22.16 % and 23.66 % in the PEG precipitation method. Additionally, employing a vigorous bead-beating approach at 6 m/s during viral RNA extraction significantly increased RNA yield, with an efficiency reaching up to 82.18 %. Among the evaluated eight primer-probe sets, the E_Sarbeco primer-probe set was the most stable and consistent quantitative results across various sample matrices. These findings are crucial for establishing robust viral quantification protocols and enhancing methodological precision for effective wastewater surveillance, enabling sensitive and precise detection of SARS-CoV-2.
Keywords: Primers-probe sets; RNA extraction efficiency; SARS-CoV-2; Wastewater concentration; Wastewater-based epidemiology.