Detection of SARS-CoV-2 using machine learning-enabled paper-assisted ratiometric fluorescent sensors based on target-induced magnetic DNAzyme

Wenhai Wang; Lun Luo; Yanmei Li; Bin Hong; Yi Ma; Keren Kang; Jufang Wang

doi:10.1016/j.bios.2024.116272

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Detection of SARS-CoV-2 using machine learning-enabled paper-assisted ratiometric fluorescent sensors based on target-induced magnetic DNAzyme

Wenhai Wang Lun Luo Yanmei Li Bin Hong Yi Ma Keren Kang Jufang Wang

Year: 2024 Journal: Biosensors and Bioelectronics Vol: 255 Pages: 116272-116272 Publisher: Elsevier BV

DOI: 10.1016/j.bios.2024.116272

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Keywords:

Fluorescence Detection limit Coronavirus disease 2019 (COVID-19) Gene Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Computer science Artificial intelligence Nanotechnology Chemistry Materials science Physics Medicine Biochemistry Infectious disease (medical specialty) Optics Disease

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Advanced biosensing and bioanalysis techniques

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Biosensors and Analytical Detection

Physical Sciences → Engineering → Biomedical Engineering

SARS-CoV-2 detection and testing

Health Sciences → Medicine → Infectious Diseases

Detection of SARS-CoV-2 using machine learning-enabled paper-assisted ratiometric fluorescent sensors based on target-induced magnetic DNAzyme

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Citation History

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