| Title: |
Rapid and Sensitive Diagnosis of COVID-19 Using an Electricity-Free Self-Testing System |
| Authors: |
Sheng Li, Wenlong Guo, Minmin Xiao, Yulin Chen, Xinyi Luo, Wenfei Xu, Jianhua Zhou, Jiasi Wang |
| Source: |
Biosensors, Vol 13, Iss 2, p 180 (2023) |
| Publisher Information: |
MDPI AG, 2023. |
| Publication Year: |
2023 |
| Collection: |
LCC:Biotechnology |
| Subject Terms: |
SARS-CoV-2, self-testing, reverse transcription loop-mediated isothermal amplification, Biotechnology, TP248.13-248.65 |
| More Details: |
Rapid and sensitive detection of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is essential for early diagnosis and effective treatment. Nucleic acid testing has been considered the gold standard method for the diagnosis of COVID-19 for its high sensitivity and specificity. However, the polymerase chain reaction (PCR)-based method in the central lab requires expensive equipment and well-trained personnel, which makes it difficult to be used in resource-limited settings. It highlights the need for a sensitive and simple assay that allows potential patients to detect SARS-CoV-2 by themselves. Here, we developed an electricity-free self-testing system based on reverse transcription loop-mediated isothermal amplification (RT-LAMP) that allows for rapid and accurate detection of SARS-CoV-2. Our system employs a heating bag as the heat source, and a 3D-printed box filled with phase change material (PCM) that successfully regulates the temperature for the RT-LAMP. The colorimetric method could be completed in 40 min and the results could be read out by the naked eye. A ratiometric measurement for exact readout was also incorporated to improve the detection accuracy of the system. This self-testing system is a promising tool for point-of-care testing (POCT) that enables rapid and sensitive diagnosis of SARS-CoV-2 in the real world and will improve the current COVID-19 screening efforts for control and mitigation of the pandemic. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2079-6374 |
| Relation: |
https://www.mdpi.com/2079-6374/13/2/180; https://doaj.org/toc/2079-6374 |
| DOI: |
10.3390/bios13020180 |
| Access URL: |
https://doaj.org/article/d4600f4f77bb4ea0a6aa4f73f1898430 |
| Accession Number: |
edsdoj.4600f4f77bb4ea0a6aa4f73f1898430 |
| Database: |
Directory of Open Access Journals |
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