Journal Article
Evaluation of concentration procedures, sample pre-treatment, and storage condition for the detection of SARS-CoV-2 in wastewater
Francesca Cutrupi; Michele Rossi; Maria Cadonna; Elisa Poznanski; Serena Manara; Mattia Postinghel; Giulia Palumbi; Marta Bellisomi; Elena Nicosia; Giorgia Allaria; Lorenzo Dondero; Carolina Veneri; Pamela Mancini; Giusy Bonanno Ferraro; Giuseppina Rosa; Elisabetta Suffredini; Paola Foladori; Elena Grasselli
Environmental Science and Pollution Research · Vol. 30, Issue 48 · pp. 106660-106670 · 2023
Abstract
Crucial information on the pandemic’s spread has been gathered by monitoring the trend of SARS-CoV-2 in wastewater. This surveillance has highlighted that the initial concentration is a critical step of the analytical procedure due to the low viral titer that may be present in this matrix. This paper presents the results of the evaluation of two different wastewater concentration protocols to determine the most efficient and cost-effective. The two methods tested were the following: (a) a biphasic separation system with PEG-dextran and (b) a PEG/NaCl precipitation protocol. Other aspects of the detection method were also investigated including the influence of storage temperature on virus recovery and the heat treatment of pasteurization, which aims to make samples safer for operators and the environment. The PEG/NaCl precipitation method was found to perform better than the biphasic separation system, allowing for more sensitive identification of the presence of the virus and the detection of a higher viral titer than that identified with the biphasic separation in all results. Storage of the samples at 4.3±0.2°C for up to 3 weeks did not adversely affect the virus titer and the pasteurization pre-treatment increases operator safety and maintains the identification of the viral concentration. Graphical abstract
Bibliographic Information
| Journal | Environmental Science and Pollution Research |
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| Publisher | Springer |
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| Publication Date | 2023-09-21 |
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| Publication Year | 2023 |
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| Volume | 30 |
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| Issue | 48 |
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| Pages | 106660-106670 |
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| Document Type | Journal Article |
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| eISSN | 1614-7499 |
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| DOI | 10.1007/s11356-023-29696-y |
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