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A SARS-Cov-2 sensor based on upconversion nanoparticles and graphene oxide.
Alexaki, Konstantina; Kyriazi, Maria Eleni; Greening, Joshua; Taemaitree, Lapatrada; El-Sagheer, Afaf H; Brown, Tom; Zhang, Xunli; Muskens, Otto L; Kanaras, Antonios G.
  • Alexaki K; School of Physics and Astronomy, Faculty of Engineering and Physical Sciences, University of Southampton Southampton SO17 1BJ UK a.kanaras@soton.ac.uk.
  • Kyriazi ME; College of Engineering and Technology, American University of the Middle East Kuwait.
  • Greening J; School of Physics and Astronomy, Faculty of Engineering and Physical Sciences, University of Southampton Southampton SO17 1BJ UK a.kanaras@soton.ac.uk.
  • Taemaitree L; Department of Chemistry, University of Oxford, Chemistry Research Laboratory 12 Mansfield Road Oxford OX1 3TA UK.
  • El-Sagheer AH; Department of Chemistry, University of Oxford, Chemistry Research Laboratory 12 Mansfield Road Oxford OX1 3TA UK.
  • Brown T; Chemistry Branch, Department of Science and Mathematics, Faculty of Petroleum and Mining Engineering, Suez University Suez 43721 Egypt.
  • Zhang X; Department of Chemistry, University of Oxford, Chemistry Research Laboratory 12 Mansfield Road Oxford OX1 3TA UK.
  • Muskens OL; School of Engineering, Faculty of Engineering and Physical Sciences, University of Southampton Southampton SO17 1BJ UK.
  • Kanaras AG; Institute for Life Sciences, University of Southampton Southampton SO171BJ UK.
RSC Adv ; 12(29): 18445-18449, 2022 Jun 22.
Article in English | MEDLINE | ID: covidwho-1921740
ABSTRACT
Since the beginning of the COVID-19 pandemic, there has been an increased need for the development of novel diagnostic solutions that can accurately and rapidly detect SARS-CoV-2 infection. In this work, we demonstrate the targeting of viral oligonucleotide markers within minutes without the requirement of a polymerase chain reaction (PCR) amplification step via the use of oligonucleotide-coated upconversion nanoparticles (UCNPs) and graphene oxide (GO).

Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: RSC Adv Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: RSC Adv Year: 2022 Document Type: Article