ArticleBiosensors & bioelectronics: X2022
Impedimetric and amperometric genosensors for the highly sensitive quantification of SARS-CoV-2 nucleic acid using an avidin-functionalized multi-walled carbon nanotubes biocapture platform.
Article in Biosensors & bioelectronics: X, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Application of Intelligent Medical Sensing Technology.Biosensors · 2023Review
- Strategies in the optimization of DNA hybridization conditions and its role in electrochemical detection of dengue virus (DENV) using response surface methodology (RSM).RSC advances · 2023Article
- Nanotechnology-Assisted Biosensors for the Detection of Viral Nucleic Acids: An Overview.Biosensors · 2023Review
- The Emergence of Carbon Nanomaterials as Effective Nano-Avenues to Fight against COVID-19.Materials (Basel, Switzerland) · 2023Review
- Genosensing Applications of Glassy Carbon Electrodes Modified with Multi-Walled Carbon Nanotubes Non-Covalently Functionalized with Polyarginine.Micromachines · 2022Article
- Angiotensin-Converting Enzyme 2-Based Biosensing Modalities and Devices for Coronavirus Detection.Biosensors · 2022Review
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We report two novel genosensors for the quantification of SARS-CoV-2 nucleic acid using glassy carbon electrodes modified with a biocapture nanoplatform made of multi-walled carbon nanotubes (MWCNTs) non-covalently functionalized with avidin (Av) as a support of the biotinylated-DNA probes. One of the genosensors was based on impedimetric transduction offering a non-labelled and non-amplified detection of SARS-CoV-2 nucleic acid through the increment of [Fe(CN)
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Registered trials
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