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Aptameric nanobiosensors for the diagnosis of COVID-19: An update.
Krishnan, Saravanan; Kumar Narasimhan, Ashwin; Gangodkar, Durgaprasad; Dhanasekaran, Sugapriya; Kumar Jha, Niraj; Dua, Kamal; Thakur, Vijay Kumar; Kumar Gupta, Piyush.
  • Krishnan S; Creative Carbon Labs Pvt Ltd., Chennai 600113, Tamil Nadu, India.
  • Kumar Narasimhan A; Department of Biomedical Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, Tamil Nadu, India.
  • Gangodkar D; Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun 248002, Uttarakhand, India.
  • Dhanasekaran S; Medical Laboratory Sciences Department, College of Applied Medical Sciences, University of Bisha, Bisha 67714, Saudi Arabia.
  • Kumar Jha N; Department of Biotechnology, School of Engineering and Technology, Sharda University, Greater Noida 201310, Uttar Pradesh, India.
  • Dua K; Discipline of Pharmacy, Graduate School of Health, University of Technology Sydney, NSW 2007, Australia.
  • Thakur VK; Faculty of Health, Australian Research Centre in Complementary and Integrative Medicine, University of Technology Sydney, Ultimo, NSW, Australia.
  • Kumar Gupta P; Biorefining and Advanced Materials Research Centre, SRUC, Edinburgh EH9 3JG, UK.
Mater Lett ; 308: 131237, 2022 Feb 01.
Article in English | MEDLINE | ID: covidwho-1560920
ABSTRACT
COVID-19 pandemic has left a catastrophic effect on the world economy and human civilization. As an effective step towards controlling the transmission of viral infections during multiple waves of COVID-19, there is an urgent need to develop robust nanobiosensors for the detection of SARS-CoV-2 with high sensitivity, specificity, and fast analysis. Aptameric nanobiosensors are rapid and sensitive diagnostic platforms, capable of SARS-CoV-2 detection, which overcomes the limitations of the conventional techniques. This review article presents an outline of the aptameric nanobiosensors established for improved diagnosis of SARS-CoV-2 and the future perspectives are also covered.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study Language: English Journal: Mater Lett Year: 2022 Document Type: Article Affiliation country: J.matlet.2021.131237

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study Language: English Journal: Mater Lett Year: 2022 Document Type: Article Affiliation country: J.matlet.2021.131237