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A syndromic diagnostic assay on a macrochannel-to-digital microfluidic platform for automatic identification of multiple respiratory pathogens
Dong, Cheng1; Li, Fei2,3; Sun, Yun3; Long, Dongling4; Chen, Chunzhao5; Li, Mengyan6; Wei, Tao7,8; Martins, Rui P.9; Chen, Tianlan3; Mak, Pui In9,10
2023-11
Source PublicationLab on a Chip
ISSN1473-0197
Abstract

The worldwide COVID-19 pandemic has changed people's lives and the diagnostic landscape. The nucleic acid amplification test (NAT) as the gold standard for SARS-CoV-2 detection has been applied in containing its transmission. However, there remains a lack of an affordable on-site detection system at resource-limited areas. In this study, a low cost “sample-in-answer-out” system incorporating nucleic acid extraction, purification, and amplification was developed on a single macrochannel-to-digital microfluidic chip. The macrochannel fluidic subsystem worked as a world-to-chip interface receiving 500-1000 μL raw samples, which then underwent bead-based extraction and purification processes before being delivered to DMF. Electrodes actuate an eluent dispensed to eight independent droplets for reverse transcription quantitative polymerase chain reaction (RT-qPCR). By reading with 4 florescence channels, the system can accommodate a maximum of 32 detection targets. To evaluate the proposed platform, a comprehensive assessment was conducted on the microfluidic chip as well as its functional components (i.e., extraction and amplification). The platform demonstrated a superior performance. In particular, using clinical specimens, the chip targeting SARS-CoV-2 and Flu A/B exhibited 100% agreement with off-chip diagnoses. Furthermore, the fabrication of chips is ready for scaled-up manufacturing and they are cost-effective for disposable use since they are assembled using a printed circuit board (PCB) and prefabricated blocks. Overall, the macrochannel-to-digital microfluidic platform coincides with the requirements of point-of-care testing (POCT) because of its advantages: low-cost, ease of use, comparable sensitivity and specificity, and availability for mass production.

KeywordSeeplex Rv15 Amplification Droplets
DOI10.1039/d3lc00728f
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaBiochemistry & Molecular Biology ; Chemistry ; Science & Technology - Other Topics ; Instruments & Instrumentation
WOS SubjectBiochemical Research Methods ; Chemistry, Multidisciplinary ; Chemistry, Analytical ; Nanoscience & Nanotechnology ; Instruments & Instrumentation
WOS IDWOS:001100798000001
PublisherROYAL SOC CHEMISTRY; THOMAS GRAHAM HOUSE, SCIENCE PARK, MILTON RD, CAMBRIDGE CB4 0WF, CAMBS, ENGLAND
Scopus ID2-s2.0-85176730040
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Citation statistics
Document TypeJournal article
CollectionFaculty of Science and Technology
THE STATE KEY LABORATORY OF ANALOG AND MIXED-SIGNAL VLSI (UNIVERSITY OF MACAU)
INSTITUTE OF MICROELECTRONICS
DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Corresponding AuthorChen, Tianlan; Mak, Pui In
Affiliation1.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, United States
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, 999078, Macao
10.Faculty of Science and Technology, University of Macau, Taipa, 999078, Macao
Corresponding Author AffilicationUniversity of Macau;  Faculty of Science and Technology
Recommended Citation
GB/T 7714
Dong, Cheng,Li, Fei,Sun, Yun,et al. A syndromic diagnostic assay on a macrochannel-to-digital microfluidic platform for automatic identification of multiple respiratory pathogens[J]. Lab on a Chip, 2023.
APA Dong, Cheng., Li, Fei., Sun, Yun., Long, Dongling., Chen, Chunzhao., Li, Mengyan., Wei, Tao., Martins, Rui P.., Chen, Tianlan., & Mak, Pui In (2023). A syndromic diagnostic assay on a macrochannel-to-digital microfluidic platform for automatic identification of multiple respiratory pathogens. Lab on a Chip.
MLA Dong, Cheng,et al."A syndromic diagnostic assay on a macrochannel-to-digital microfluidic platform for automatic identification of multiple respiratory pathogens".Lab on a Chip (2023).
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