A syndromic diagnostic assay on a macrochannel-to-digital microfluidic platform for automatic identification of multiple respiratory pathogens

Author:

Dong Cheng1,Li Fei23ORCID,Sun Yun3,Long Dongling4,Chen Chunzhao5,Li Mengyan6ORCID,Wei Tao78,Martins Rui P.9,Chen Tianlan3,Mak Pui-In910

Affiliation:

1. School of Intelligent Systems Science and Engineering/JNU-Industry School of Artificial Intelligence, Jinan University, Zhuhai 519000, China

2. Department of Biomedical Engineering, Jinan University, Guangzhou, 510632, China

3. Digifluidic Biotech Ltd., Zhuhai 519000, China

4. Zhuhai Center for Disease Control and Prevention, Zhuhai 519087, China

5. Advanced Interdisciplinary Institute of Environment and Ecology, Beijing Normal University, Zhu Hai 519087, China

6. Department of Chemistry and Environmental Science, New Jersey Institute of Technology, Newark, 07102, USA

7. Department of Bioengineering, College of Food Science, South China Agricultural University, Guangzhou, 510640, China

8. Pan Asia (Jiangmen) Institute of Biological Engineering and Health, Jiangmen, 529080, China

9. State-Key Laboratory of Analog and Mixed-Signal VLSI, Institute of Microelectronics, University of Macau, Taipa, Macau SAR, 999078, China

10. Faculty of Science and Technology, University of Macau, Taipa, Macau SAR, 999078, China

Abstract

A macrochannel-to-digital microfluidic platform for automatic identification of multiple respiratory pathogens.

Funder

Basic and Applied Basic Research Foundation of Guangdong Province

Publisher

Royal Society of Chemistry (RSC)

Subject

Biomedical Engineering,General Chemistry,Biochemistry,Bioengineering

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