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Programmable Digital-Microfluidic Biochips for SARS-CoV-2 Detection.
Wang, Yuxin; Chan, Yun-Sheng; Chae, Matthew; Shi, Donglu; Lee, Chen-Yi; Diao, Jiajie.
Afiliación
  • Wang Y; Department of Cancer Biology, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA.
  • Chan YS; The Materials Science and Engineering Program, Department of Mechanical and Materials Engineering, College of Engineering and Applied Science, University of Cincinnati, Cincinnati, OH 45221, USA.
  • Chae M; Advanced Sensing Lab, Digital Futures, University of Cincinnati, Cincinnati, OH 45221, USA.
  • Shi D; Department of Cancer Biology, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA.
  • Lee CY; Institute of Electronics, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan.
  • Diao J; Department of Cancer Biology, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA.
Bioengineering (Basel) ; 10(8)2023 Aug 03.
Article en En | MEDLINE | ID: mdl-37627808
ABSTRACT
Biochips, a novel technology in the field of biomolecular analysis, offer a promising alternative to conventional testing equipment. These chips integrate multiple functions within a single system, providing a compact and efficient solution for various testing needs. For biochips, a pattern-control micro-electrode-dot-array (MEDA) is a new, universally viable design that can replace microchannels and other micro-components. In a Micro Electrode Dot Array (MEDA), each electrode can be programmatically controlled or dynamically grouped, allowing a single chip to fulfill the diverse requirements of different tests. This capability not only enhances flexibility, but also contributes to cost reduction by eliminating the need for multiple specialized chips. In this paper, we present a visible biochip testing system for tracking the entire testing process in real time, and describe our application of the system to detect SARS-CoV-2.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Bioengineering (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Bioengineering (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
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