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Pulling-Force Spinning Top for Serum Separation Combined with Paper-Based Microfluidic Devices in COVID-19 ELISA Diagnosis
- Source :
- ACS Sensors
- Publication Year :
- 2021
- Publisher :
- American Chemical Society (ACS), 2021.
-
Abstract
- The spread of Coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2), resulting in a global pandemic with around four million deaths. Although there are a variety of nucleic acid-based tests for detecting SARS-CoV-2, these methods have a relatively high cost and require expensive supporting equipment. To overcome these limitations and improve the efficiency of SARS-CoV-2 diagnosis, we developed a microfluidic platform that collected serum by a pulling-force spinning top and paper-based microfluidic enzyme-linked immunosorbent assay (ELISA) for quantitative IgA/IgM/IgG measurements in an instrument-free way. We further validated the paper-based microfluidic ELISA analysis of SARS-CoV-2 receptor-binding domain (RBD)-specific IgA/IgM/IgG antibodies from human blood samples as a good measurement with higher sensitivity compared with traditional IgM/IgG detection (99.7% vs 95.6%) for early illness onset patients. In conclusion, we provide an alternative solution for the diagnosis of SARS-CoV-2 in a portable manner by this smart integration of pulling-force spinning top and paper-based microfluidic immunoassay.
- Subjects :
- COVID-19 diagnosis
Coronavirus disease 2019 (COVID-19)
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
Microfluidics
anti-RBD antibody
Enzyme-Linked Immunosorbent Assay
Bioengineering
Antibodies, Viral
Sensitivity and Specificity
Article
COVID-19 Testing
Lab-On-A-Chip Devices
serum separation
medicine
Humans
Pull force
microfluidic devices
Instrumentation
Spinning
Fluid Flow and Transfer Processes
medicine.diagnostic_test
Human blood
SARS-CoV-2
business.industry
Process Chemistry and Technology
COVID-19
Paper based
Immunoassay
business
paper-based ELISA
Biomedical engineering
Subjects
Details
- ISSN :
- 23793694
- Volume :
- 6
- Database :
- OpenAIRE
- Journal :
- ACS Sensors
- Accession number :
- edsair.doi.dedup.....7064946436733d58e98845e18f76e56c