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  4. International Journal of Nanoelectronics and Materials (IJNeaM)
  5. The study of sensing elements parameters optimization for developed biosensor of SARS-CoV-2 detection
 
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The study of sensing elements parameters optimization for developed biosensor of SARS-CoV-2 detection

Journal
International Journal of Nanoelectronics and Materials (IJNeaM)
Date Issued
2023-04
Author(s)
Fatin Syakirah Halim
Universiti Malaysia Perlis
Nor Azizah Parmin
Universiti Malaysia Perlis
Uda Hashim
Universiti Malaysia Perlis
Subash Chandra Bose Gopinath
Universiti Malaysia Perlis
Farrah Aini Dahalan
Universiti Malaysia Perlis
Iffah Izzati Zakaria
Malaysia Genome Institute (MGI)
Wei Chern Ang
Ministry of Health Malaysia, Hospital Tuanku Fauziah
Nurfareezah Nadhirah Jaapar
Universiti Malaysia Perlis
Handle (URI)
https://ijneam.unimap.edu.my/index.php/vol-16-no-2-april-2023
https://ejournal.unimap.edu.my/index.php/ijneam
https://hdl.handle.net/20.500.14170/3125
Abstract
New advancements in developing sensitive and selective biosensors have demonstrated outstanding potential for Deoxyribonucleic Acid (DNA biosensors). The detection mode of DNA biosensors primary depends on a particular DNA hybridization that precisely occurs on the surface of the physical transducer that can only be detected using high-performance assays due to slight current changes. The analytical performance (sensitivity) of the DNA biosensor is conclusively rely on the confluence constructing of the sensing surface, which must be optimized. Thus, in this study, the sensing elements of the developed biosensors were optimized for detecting RNA of SARS-CoV-2. This optimization included concentration of nanomaterials (carbon quantum dots), probe density (concentration of DNA probe) and concentration of linker (APTES). It was observed that 0.15 % V/V of concentration CQD, 0.1μM of DNA probe and 36% V/V of APTES were the optimum parameters which provided their maximum response during electrical measurements and increased the sensitivity of the developed biosensor for SARS-CoV-2 detection
Subjects
  • DNA biosensor

  • DNA hybridization

  • SARS-CoV-2

  • Parameters optimizati...

  • Sensitivity

File(s)
The Study of Sensing Elements Parameters Optimization for Developed Biosensor of SARS-CoV-2 Detection.pdf (771.81 KB)
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