Evaluation of process limit of detection and quantification variation of SARS-CoV-2 RT-qPCR and RT-dPCR assays for wastewater surveillance

被引:49
|
作者
Ahmed, Warish [1 ]
Bivins, Aaron [2 ]
Metcalfe, Suzanne [1 ]
Smith, Wendy J. M. [1 ]
Verbyla, Matthew E. [3 ]
Symonds, Erin M. [4 ]
Simpson, Stuart L. [5 ]
机构
[1] CSIRO Land & Water, Ecosci Precinct, 41 Boggo Rd, Dutton Pk, Qld 4102, Australia
[2] Univ Notre Dame, Dept Civil & Environm Engn & Earth Sci, 156 Fitzpatrick Hall, Notre Dame, IN 46556 USA
[3] San Diego State Univ, Dept Civil Construct & Environm Engn, San Diego, CA 92182 USA
[4] Southern Methodist Univ, Dept Anthropol, Dallas, TX USA
[5] CSIRO Land & Water, Lucas Heights, NSW 2234, Australia
关键词
SARS-CoV-2; COVID-19; Detection limit; Recovery; Concentration method; Enveloped virus; Wastewater; MICROBIAL RISK-ASSESSMENT; REAL-TIME PCR; SOURCE TRACKING; QUANTIFY; RNA;
D O I
10.1016/j.watres.2022.118132
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Effective wastewater surveillance of SARS-CoV-2 RNA requires the rigorous characterization of the limit of detection resulting from the entire sampling process - the process limit of detection (PLOD). Yet to date, no studies have gone beyond quantifying the assay limit of detection (ALOD) for RT-qPCR or RT-dPCR assays. While the ALOD is the lowest number of gene copies (GC) associated with a 95% probability of detection in a single PCR reaction, the PLOD represents the sensitivity of the method after considering the efficiency of all processing steps (e.g., sample handling, concentration, nucleic acid extraction, and PCR assays) to determine the number of GC in the wastewater sample matrix with a specific probability of detection. The primary objective of this study was to estimate the PLOD resulting from the combination of primary concentration and extraction with six SARS-CoV-2 assays: five RT-qPCR assays (US CDC N1 and N2, China CDC N and ORF1ab (CCDC N and CCDC ORF1ab), and E_Sarbeco RT-qPCR, and one RT-dPCR assay (US CDC N1 RT-dPCR) using two models (exponential survival and cumulative Gaussian). An adsorption extraction (AE) concentration method (i.e., virus adsorption on membrane and the RNA extraction from the membrane) was used to concentrate gamma-irradiated SARS-CoV-2 seeded into 36 wastewater samples. Overall, the US CDC N1 RT-dPCR and RT-qPCR assays had the lowest ALODs (< 10 GC/reaction) and PLODs (<3,954 GC/50 mL; 95% probability of detection) regardless of the seeding level and model used. Nevertheless, consistent amplification and detection rates decreased when seeding levels were < 2.32 x 103 GC/50 mL even for US CDC N1 RT-qPCR and RT-dPCR assays. Consequently, when SARS-CoV-2 RNA concentrations are expected to be low, it may be necessary to improve the positive detection rates of wastewater surveillance by analyzing additional field and RT-PCR replicates. To the best of our knowledge, this is the first study to assess the SARS-CoV-2 PLOD for wastewater and provides important insights on the analytical limitations for trace detection of SARS-CoV-2 RNA in wastewater.
引用
收藏
页数:10
相关论文
共 50 条
  • [41] Fast SARS-CoV-2 detection by RT-qPCR in preheated nasopharyngeal swab samples
    Alcoba-Florez, Julia
    Gonzalez-Montelongo, Rafaela
    inigo-Campos, Antonio
    de Artola, Diego Garcia-Martinez
    Gil-Campesino, Helena
    Ciuffreda, Laura
    Valenzuela-Fernandez, Agustin
    Flores, Carlos
    INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, 2020, 97 : 66 - 68
  • [42] In vitro evaluation of the effect of mutations in primer binding sites on detection of SARS-CoV-2 by RT-qPCR
    Zimmermann, Fee
    Urban, Maria
    Krueger, Christian
    Walter, Mathias
    Woelfel, Roman
    Zwirglmaier, Katrin
    JOURNAL OF VIROLOGICAL METHODS, 2022, 299
  • [43] RT-qPCR Detection of SARS-CoV-2: No Need for a Dedicated Reverse Transcription Step
    Bustin, Stephen A.
    Shipley, Gregory L.
    Kirvell, Sara
    Mueller, Reinhold
    Nolan, Tania
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2022, 23 (03)
  • [44] Simultaneous detection of SARS-CoV-2, influenza A, respiratory syncytial virus, and measles in wastewater by multiplex RT-qPCR
    Hayes, Emalie K.
    Gouthro, Madison T.
    LeBlanc, Jason J.
    Gagnon, Graham A.
    SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 889
  • [45] Investigation of the recovery efficiency of CeUF method through RT-qPCR quantification of inactivated SARS-CoV-2 in untreated wastewater
    Sait, Ahmet
    Korkmaz, Serol
    Parmaksiz, Ayse
    Bayraktar, Bulent
    DESALINATION AND WATER TREATMENT, 2022, 262 : 54 - 59
  • [46] RT-qPCR Diagnostics: The "Drosten" SARS-CoV-2 Assay Paradigm
    Bustin, Stephen
    Kirvell, Sara
    Huggett, Jim F.
    Nolan, Tania
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2021, 22 (16)
  • [47] The effects of RT-qPCR standards on reproducibility and comparability in monitoring SARS-CoV-2 levels in wastewater
    Juutinen, Aapo
    Tiwari, Ananda
    Hokajaervi, Anna-Maria
    Luomala, Oskari
    Kolehmainen, Aleksi
    Nurmi, Eveliina
    Salmivirta, Elisa
    Pitkaenen, Tarja
    Lipponen, Anssi
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [48] Mathematical modeling based on RT-qPCR analysis of SARS-CoV-2 in wastewater as a tool for epidemiology
    Krivonakova, Nada
    Soltysova, Andrea
    Tamas, Michal
    Takac, Zdenko
    Krahulec, Jan
    Ficek, Andrej
    Gal, Miroslav
    Gall, Marian
    Feher, Miroslav
    Krivjanska, Anna
    Horakova, Ivana
    Belisova, Noemi
    Bimova, Paula
    Skulcova, Andrea Butor
    Mackulak, Tomas
    SCIENTIFIC REPORTS, 2021, 11 (01)
  • [49] Mathematical modeling based on RT-qPCR analysis of SARS-CoV-2 in wastewater as a tool for epidemiology
    Naďa Krivoňáková
    Andrea Šoltýsová
    Michal Tamáš
    Zdenko Takáč
    Ján Krahulec
    Andrej Ficek
    Miroslav Gál
    Marián Gall
    Miroslav Fehér
    Anna Krivjanská
    Ivana Horáková
    Noemi Belišová
    Paula Bímová
    Andrea Butor Škulcová
    Tomáš Mackuľak
    Scientific Reports, 11
  • [50] Evaluation of extraction-free RT-qPCR methods for SARS-CoV-2 diagnostics
    Domnich, Alexander
    De Pace, Vanessa
    Pennati, Beatrice M.
    Caligiuri, Patrizia
    Varesano, Serena
    Bruzzone, Bianca
    Orsi, Andrea
    ARCHIVES OF VIROLOGY, 2021, 166 (10) : 2825 - 2828