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231226s2023 xx |||||o 00| ||eng c |
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|a 10.1016/j.cej.2022.139750
|2 doi
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|a pubmed25n1159.xml
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|a eng
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|a Kadadou, Dana
|e verfasserin
|4 aut
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| 245 |
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|a Detection of SARS-CoV-2 in clinical and environmental samples using highly sensitive reduced graphene oxide (rGO)-based biosensor
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|c 2023
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| 336 |
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|a Text
|b txt
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|a ƒaComputermedien
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|2 rdamedia
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|a ƒa Online-Ressource
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|a Date Revised 05.05.2023
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a © 2022 Elsevier B.V. All rights reserved.
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|a Quantitative RT-PCR (qRT-PCR) is the most commonly used diagnostic tool for SARS-CoV-2 detection during the COVID-19 pandemic. Despite its sensitivity and accuracy, qRT-PCR is a time-consuming method that requires expensive laboratories with highly trained personnel. In this work, on-site detection of SARS-CoV-2 in municipal wastewater was investigated for the first time. The wastewater was unprocessed and did not require any prefiltration, prior spiking with virus, or viral concentration in order to be suitable for use with the biosensor. The prototype reported here is a reduced graphene oxide (rGO)-based biosensor for rapid, sensitive and selective detection of SARS-CoV-2. The biosensor achieved a limit of detection (LOD) of 0.5 fg/mL in phosphate-buffered saline (PBS) and exhibited specificity when exposed to various analytes. The response time was measured to be around 240 ms. To further explore the capabilities of the biosensor in real clinical and municipal wastewater samples, three different tests were performed to determine the presence or absence of the virus: (i) qRT-PCR, (ii) a rapid antigen-based commercially available test (COVID-19 Test Strips), and (iii) the biosensor constructed and reported here. Taken together, our results demonstrate that a biosensor that can detect SARS-CoV-2 in clinical samples as well as unfiltered and unprocessed municipal wastewater is feasible
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|a Journal Article
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|a Biosensor
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|a COVID-19
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|a Reduced graphene oxide
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| 650 |
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4 |
|a SARS-CoV-2
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| 650 |
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|a Wastewater
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| 700 |
1 |
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|a Tizani, Lina
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Wadi, Vijay S
|e verfasserin
|4 aut
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| 700 |
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|a Banat, Fawzi
|e verfasserin
|4 aut
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| 700 |
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|a Alsafar, Habiba
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Yousef, Ahmed F
|e verfasserin
|4 aut
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| 700 |
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|a Hasan, Shadi W
|e verfasserin
|4 aut
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| 773 |
0 |
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|i Enthalten in
|t Chemical engineering journal (Lausanne, Switzerland : 1996)
|d 1999
|g 453(2023) vom: 01. Feb., Seite 139750
|w (DE-627)NLM098273531
|x 1385-8947
|7 nnas
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| 773 |
1 |
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|g volume:453
|g year:2023
|g day:01
|g month:02
|g pages:139750
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|u http://dx.doi.org/10.1016/j.cej.2022.139750
|3 Volltext
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