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Jie H, Wang Y, Zhao M, Wang X, Wang Z, Zeng L, Cao X, Xu T, Xia F, Liu Q. Automatic ultrasensitive lateral flow immunoassay based on a color-enhanced signal amplification strategy. Biosens Bioelectron 2024; 256:116262. [PMID: 38621340 DOI: 10.1016/j.bios.2024.116262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 02/27/2024] [Accepted: 03/29/2024] [Indexed: 04/17/2024]
Abstract
Lateral flow immunoassays (LFIAs) are an essential and widely used point-of-care test for medical diagnoses. However, commercial LFIAs still have low sensitivity and specificity. Therefore, we developed an automatic ultrasensitive dual-color enhanced LFIA (DCE-LFIA) by applying an enzyme-induced tyramide signal amplification method to a double-antibody sandwich LFIA for antigen detection. The DCE-LFIA first specifically captured horseradish peroxidase (HRP)-labeled colored microspheres at the Test line, and then deposited a large amount of tyramide-modified signals under the catalytic action of HRP to achieve the color superposition. A limit of detection (LOD) of 3.9 pg/mL and a naked-eye cut-off limit of 7.8 pg/mL were achieved for detecting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) nucleoprotein. Additionally, in the inactivated virus detections, LOD equivalent to chemiluminescence (0.018 TCID50/mL) was obtained, and it had excellent specificity under the interference of other respiratory viruses. High sensitivity has also been achieved for detection of influenza A, influenza B, cardiac troponin I, and human chorionic gonadotrophin using this DCE-LFIA, suggesting the assay is universally applicable. To ensure the convenience and stability in practical applications, we created an automatic device. It provides a new practical option for point-of-care test immunoassays, especially ultra trace detection and at-home testing.
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Affiliation(s)
- Huiyang Jie
- Department of Detection and Diagnosis Technology Research, Guangzhou National Laboratory, Guangzhou, Guangdong, 510000, PR China
| | - Yu Wang
- Department of Detection and Diagnosis Technology Research, Guangzhou National Laboratory, Guangzhou, Guangdong, 510000, PR China
| | - Meng Zhao
- Micro-nano Tech Center, Bioland Laboratory, Guangzhou, Guangdong, 510000, PR China
| | - Xiuzhen Wang
- Department of Detection and Diagnosis Technology Research, Guangzhou National Laboratory, Guangzhou, Guangdong, 510000, PR China
| | - Zhong Wang
- Department of Detection and Diagnosis Technology Research, Guangzhou National Laboratory, Guangzhou, Guangdong, 510000, PR China
| | - Lingliao Zeng
- Department of Detection and Diagnosis Technology Research, Guangzhou National Laboratory, Guangzhou, Guangdong, 510000, PR China
| | - Xiaobao Cao
- Department of Detection and Diagnosis Technology Research, Guangzhou National Laboratory, Guangzhou, Guangdong, 510000, PR China.
| | - Tao Xu
- Department of Detection and Diagnosis Technology Research, Guangzhou National Laboratory, Guangzhou, Guangdong, 510000, PR China; School of Biomedical Engineering, Guangzhou Medical University, Guangzhou, Guangdong, 511436, PR China
| | - Fan Xia
- Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan, Hubei, 430074, PR China
| | - Qian Liu
- Department of Detection and Diagnosis Technology Research, Guangzhou National Laboratory, Guangzhou, Guangdong, 510000, PR China; School of Biomedical Engineering, Guangzhou Medical University, Guangzhou, Guangdong, 511436, PR China.
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Liu Y, Li Y, Hang Y, Wang L, Wang J, Bao N, Kim Y, Jang HW. Rapid assays of SARS-CoV-2 virus and noble biosensors by nanomaterials. NANO CONVERGENCE 2024; 11:2. [PMID: 38190075 PMCID: PMC10774473 DOI: 10.1186/s40580-023-00408-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 12/07/2023] [Indexed: 01/09/2024]
Abstract
The COVID-19 outbreak caused by SARS-CoV-2 in late 2019 has spread rapidly across the world to form a global epidemic of respiratory infectious diseases. Increased investigations on diagnostic tools are currently implemented to assist rapid identification of the virus because mass and rapid diagnosis might be the best way to prevent the outbreak of the virus. This critical review discusses the detection principles, fabrication techniques, and applications on the rapid detection of SARS-CoV-2 with three categories: rapid nuclear acid augmentation test, rapid immunoassay test and biosensors. Special efforts were put on enhancement of nanomaterials on biosensors for rapid, sensitive, and low-cost diagnostics of SARS-CoV-2 virus. Future developments are suggested regarding potential candidates in hospitals, clinics and laboratories for control and prevention of large-scale epidemic.
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Affiliation(s)
- Yang Liu
- School of Public Health, Nantong University, Nantong, 226019, Jiangsu, People's Republic of China
- Department of Materials Science and Engineering, Research Institute of Advanced Materials, Seoul National University, Seoul, 08826, Republic of Korea
- NantongEgens Biotechnology Co., LTD, Nantong, 226019, Jiangsu, People's Republic of China
| | - Yilong Li
- School of Public Health, Nantong University, Nantong, 226019, Jiangsu, People's Republic of China
| | - Yuteng Hang
- School of Public Health, Nantong University, Nantong, 226019, Jiangsu, People's Republic of China
| | - Lei Wang
- NantongEgens Biotechnology Co., LTD, Nantong, 226019, Jiangsu, People's Republic of China
| | - Jinghan Wang
- Department of Materials Science and Engineering, Research Institute of Advanced Materials, Seoul National University, Seoul, 08826, Republic of Korea
| | - Ning Bao
- School of Public Health, Nantong University, Nantong, 226019, Jiangsu, People's Republic of China
| | - Youngeun Kim
- Department of Materials Science and Engineering, Research Institute of Advanced Materials, Seoul National University, Seoul, 08826, Republic of Korea.
| | - Ho Won Jang
- Department of Materials Science and Engineering, Research Institute of Advanced Materials, Seoul National University, Seoul, 08826, Republic of Korea.
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