Polydopamine Nanoparticles-Based Three-Line Lateral Flow Immunoassay for COVID-19 Detection
Currently, the global trend of several hundred thousand new confirmed COVID-19 patients per day has not abated significantly. Serological antibody detection has become an important tool for the self-screening of people. While the most commonly used colorimetric lateral flow immunoassay (LFIA) method...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-03-01
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| Series: | Biosensors |
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| Online Access: | https://www.mdpi.com/2079-6374/13/3/352 |
| _version_ | 1797613226208264192 |
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| author | Zhe Liu Chaoyu Cao Haoyang Tong Minli You |
| author_facet | Zhe Liu Chaoyu Cao Haoyang Tong Minli You |
| author_sort | Zhe Liu |
| collection | DOAJ |
| description | Currently, the global trend of several hundred thousand new confirmed COVID-19 patients per day has not abated significantly. Serological antibody detection has become an important tool for the self-screening of people. While the most commonly used colorimetric lateral flow immunoassay (LFIA) methods for the detection of COVID-19 antibodies are limited by low sensitivity and a lack of quantification ability. This leads to poor accuracy in the screening of early COVID-19 patients. Therefore, it is necessary to develop an accurate and sensitive autonomous antibody detection technique that will effectively reduce the COVID-19 infection rate. Here, we developed a three-line LFIA immunoassay based on polydopamine (PDA) nanoparticles for COVID-19 IgG and IgM antibodies detection to determine the degree of infection. The PDA-based three-line LFIA has a detection limit of 1.51 and 2.34 ng/mL for IgM and IgG, respectively. This assay reveals a good linearity for both IgM and IgG antibodies detection and is also able to achieve quantitative detection by measuring the optical density of test lines. In comparison, the commercial AuNP-based LFIA showed worse quantification results than the developed PDA-based LFIA for low-concentration COVID-19 antibody samples, making it difficult to distinguish between negative and positive samples. Therefore, the developed PDA-based three-line LFIA platform has the accurate quantitative capability and high sensitivity, which could be a powerful tool for the large-scale self-screening of people. |
| first_indexed | 2024-03-11T06:51:51Z |
| format | Article |
| id | doaj.art-b74beb225e444c6db403784674d5eeae |
| institution | Directory Open Access Journal |
| issn | 2079-6374 |
| language | English |
| last_indexed | 2024-03-11T06:51:51Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Biosensors |
| spelling | doaj.art-b74beb225e444c6db403784674d5eeae2023-11-17T09:54:09ZengMDPI AGBiosensors2079-63742023-03-0113335210.3390/bios13030352Polydopamine Nanoparticles-Based Three-Line Lateral Flow Immunoassay for COVID-19 DetectionZhe Liu0Chaoyu Cao1Haoyang Tong2Minli You3Department of Rehabilitation Medicine, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an 710061, ChinaThe Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an 710049, ChinaBioinspired Engineering and Biomechanics Center (BEBC), Xi’an Jiaotong University, Xi’an 710049, ChinaThe Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an 710049, ChinaCurrently, the global trend of several hundred thousand new confirmed COVID-19 patients per day has not abated significantly. Serological antibody detection has become an important tool for the self-screening of people. While the most commonly used colorimetric lateral flow immunoassay (LFIA) methods for the detection of COVID-19 antibodies are limited by low sensitivity and a lack of quantification ability. This leads to poor accuracy in the screening of early COVID-19 patients. Therefore, it is necessary to develop an accurate and sensitive autonomous antibody detection technique that will effectively reduce the COVID-19 infection rate. Here, we developed a three-line LFIA immunoassay based on polydopamine (PDA) nanoparticles for COVID-19 IgG and IgM antibodies detection to determine the degree of infection. The PDA-based three-line LFIA has a detection limit of 1.51 and 2.34 ng/mL for IgM and IgG, respectively. This assay reveals a good linearity for both IgM and IgG antibodies detection and is also able to achieve quantitative detection by measuring the optical density of test lines. In comparison, the commercial AuNP-based LFIA showed worse quantification results than the developed PDA-based LFIA for low-concentration COVID-19 antibody samples, making it difficult to distinguish between negative and positive samples. Therefore, the developed PDA-based three-line LFIA platform has the accurate quantitative capability and high sensitivity, which could be a powerful tool for the large-scale self-screening of people.https://www.mdpi.com/2079-6374/13/3/352COVID-19autonomous antibodylateral flow immunoassayartificial intelligencepolydopamine |
| spellingShingle | Zhe Liu Chaoyu Cao Haoyang Tong Minli You Polydopamine Nanoparticles-Based Three-Line Lateral Flow Immunoassay for COVID-19 Detection Biosensors COVID-19 autonomous antibody lateral flow immunoassay artificial intelligence polydopamine |
| title | Polydopamine Nanoparticles-Based Three-Line Lateral Flow Immunoassay for COVID-19 Detection |
| title_full | Polydopamine Nanoparticles-Based Three-Line Lateral Flow Immunoassay for COVID-19 Detection |
| title_fullStr | Polydopamine Nanoparticles-Based Three-Line Lateral Flow Immunoassay for COVID-19 Detection |
| title_full_unstemmed | Polydopamine Nanoparticles-Based Three-Line Lateral Flow Immunoassay for COVID-19 Detection |
| title_short | Polydopamine Nanoparticles-Based Three-Line Lateral Flow Immunoassay for COVID-19 Detection |
| title_sort | polydopamine nanoparticles based three line lateral flow immunoassay for covid 19 detection |
| topic | COVID-19 autonomous antibody lateral flow immunoassay artificial intelligence polydopamine |
| url | https://www.mdpi.com/2079-6374/13/3/352 |
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