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Electrochemical sensors for the detection of SARS-CoV-2 virus.
Kumar, Neeraj; Shetti, Nagaraj P; Jagannath, Somanath; Aminabhavi, Tejraj M.
  • Kumar N; Department of Inorganic and Physical Chemistry, Indian Institute of Science Bangalore 560012, India.
  • Shetti NP; School of Advanced Sciences, KLE Technological University, Hubballi 580 031, India.
  • Jagannath S; Laboratory of Molecular and Chemical Biology of Neurodegeneration, Brain Mind Institute, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
  • Aminabhavi TM; School of Advanced Sciences, KLE Technological University, Hubballi 580 031, India.
Chem Eng J ; 430: 132966, 2022 Feb 15.
Article in English | MEDLINE | ID: covidwho-1471903
ABSTRACT
Coronavirus (COVID-19), a deadly pandemic has spread worldwide and created many global health issues. Though methods of its detection are being continuously developed for the early detection and monitoring of COVID-19, still there is need for more novel methods. The presently used methods include rapid antigen tests, serological surveys, reverse transcription-polymerase chain reaction (RT-PCR), artificial intelligence-based techniques, and assays based on sensors/biosensors. Of all these, RT-PCR test has high sensitivity and specificity though it requires more time for testing and need for skilled technicians. Recently, electrochemical sensors have been developed for rapid monitoring and detection of SARS-CoV-2 from the patient's biological fluid samples. This review covers the recently developed electrochemical sensors that are focused on the detection of viral nucleic acid, immunoglobulin, antigen, and the entire viral particles. In addition, we also compare and assess their detection limits, sensitivities and specificities for the identification and monitoring of COVID-19. Furthermore, this review will address the best practices for the development of electrochemical sensors such as electrode fouling, limit of detection/limit of quantification determination and verification.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study / Observational study Language: English Journal: Chem Eng J Year: 2022 Document Type: Article Affiliation country: J.cej.2021.132966

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study / Observational study Language: English Journal: Chem Eng J Year: 2022 Document Type: Article Affiliation country: J.cej.2021.132966