1. Droplet magnetic-controlled microfluidic chip integrated nucleic acid extraction and amplification for the detection of pathogens and tumor mutation sites.
- Author
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Wu M, Huang Y, Huang Y, Wang H, Li M, Zhou Y, Zhao H, Lan Y, Wu Z, Jia C, Feng S, and Zhao J
- Subjects
- Humans, Microfluidics, RNA, Viral, Nucleic Acid Amplification Techniques methods, SARS-CoV-2, Magnetic Phenomena, Nucleic Acids genetics, COVID-19 diagnosis, Neoplasms
- Abstract
Traditional nucleic acid extraction and detection is based on open operation, which may cause cross-contamination and aerosol formation. This study developed a droplet magnetic-controlled microfluidic chip integrated nucleic acid extraction, purification and amplification. The reagent is sealed in oil to form a droplet, and the nucleic acid is extracted and purified by controlling the movement of the magnetic beads (MBs) through a permanent magnet, ensuring a closed environment. This chip can automatically extract nucleic acid from multiple samples within 20 min, and can be directly placed in the in situ amplification instrument for amplification without further transfer of nucleic acid, characterized by simple, fast, time-saving and labor-saving. The results showed that the chip was able to detect <10 copies/test SARS-CoV-2 RNA, and EGFR exon 21 L858R mutations were detected in H1975 cells as low as 4 cells. In addition, on the basis of the droplet magnetic-controlled microfluidic chip, we further developed a multi-target detection chip, which used MBs to divide the nucleic acid of the sample into three parts. And the macrolides resistance mutations A2063G and A2064G, and the P1 gene of mycoplasma pneumoniae (MP) were successfully detected in clinical samples by the multi-target detection chip, providing the possibility for future application in the detection of multiple pathogens., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier B.V. All rights reserved.)
- Published
- 2023
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