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Digital Microfluidic qPCR Cartridge for SARS-CoV-2 Detection.
Ho, Kuan-Lun; Liao, Hong-Yu; Liu, Helene Minyi; Lu, Yen-Wen; Yeh, Pin-Kuan; Chang, Justin Yu; Fan, Shih-Kang.
Afiliación
  • Ho KL; Department of Mechanical and Nuclear Engineering, Kansas State University, Manhattan, KS 66506, USA.
  • Liao HY; Department of Mechanical Engineering, National Taiwan University, Taipei 10617, Taiwan.
  • Liu HM; Graduate Institute of Biochemistry and Molecular Biology, National Taiwan University, Taipei 10052, Taiwan.
  • Lu YW; Department of Bio-Industrial Mechatronics Engineering, National Taiwan University, Taipei 10617, Taiwan.
  • Yeh PK; GEMFluidix LLC, Los Angeles, CA 91748, USA.
  • Chang JY; GEMFluidix LLC, Los Angeles, CA 91748, USA.
  • Fan SK; Department of Mechanical and Nuclear Engineering, Kansas State University, Manhattan, KS 66506, USA.
Micromachines (Basel) ; 13(2)2022 Jan 27.
Article en En | MEDLINE | ID: mdl-35208320
ABSTRACT
Point-of-care (POC) tests capable of individual health monitoring, transmission reduction, and contact tracing are especially important in a pandemic such as the coronavirus disease 2019 (COVID-19). We develop a disposable POC cartridge that can be mass produced to detect the SARS-CoV-2 N gene through real-time quantitative polymerase chain reaction (qPCR) based on digital microfluidics (DMF). Several critical parameters are studied and improved, including droplet volume consistency, temperature uniformity, and fluorescence intensity linearity on the designed DMF cartridge. The qPCR results showed high accuracy and efficiency for two primer-probe sets of N1 and N2 target regions of the SARS-CoV-2 N gene on the DMF cartridge. Having multiple droplet tracks for qPCR, the presented DMF cartridge can perform multiple tests and controls at once.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Micromachines (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Micromachines (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos