Low-Cost and Scalable Platform with Multiplexed Microwell Array Biochip for Rapid Diagnosis of COVID-19

Author:

Wang Yang1,Li Kaiju2,Xu Gaolian3,Chen Chuan2,Song Guiqin2,Dong Zaizai1,Lin Long1,Wang Yu2,Xu Zhiyong4,Yu Mingxia5,Yu Xinge6ORCID,Ying Binwu2ORCID,Fan Yubo1ORCID,Chang Lingqian1ORCID,Geng Jia2ORCID

Affiliation:

1. Beijing Advanced Innovation Center for Biomedical Engineering, Key Laboratory for Biomechanics and Mechanobiology, School of Biological Science and Medical Engineering, Beihang University, Beijing 100083, China

2. Department of Laboratory Medicine, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center, Chengdu 610041, China

3. Nano Biomedical Research Centre, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China

4. Wuhan Chain Medical Labs, Wuhan, Hubei 430011, China

5. Department of Clinical Laboratory, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, China

6. Department of Biomedical Engineering, City University of Hong Kong, China

Abstract

Sensitive detection of SARS-CoV-2 is of great importance for inhibiting the current pandemic of COVID-19. Here, we report a simple yet efficient platform integrating a portable and low-cost custom-made detector and a novel microwell array biochip for rapid and accurate detection of SARS-CoV-2. The instrument exhibits expedited amplification speed that enables colorimetric read-out within 25 minutes. A polymeric chip with a laser-engraved microwell array was developed to process the reaction between the primers and the respiratory swab RNA extracts, based on reverse transcriptase loop-mediated isothermal amplification (RT-LAMP). To achieve clinically acceptable performance, we synthesized a group of six primers to identify the conserved regions of the ORF1ab gene of SARS-CoV-2. Clinical trials were conducted with 87 PCR-positive and 43 PCR-negative patient samples. The platform demonstrated both high sensitivity (95.40%) and high specificity (95.35%), showing potentials for rapid and user-friendly diagnosis of COVID-19 among many other infectious pathogens.

Funder

Beihang University

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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