Research on the Flow Characteristics and Reaction Mechanisms of Lateral Flow Immunoassay under Non-Uniform Flow
Lateral flow immunoassay (LFIA) is extensively utilized for point-of-care testing due to its ease of operation, cost-effectiveness, and swift results. This study investigates the flow dynamics and reaction mechanisms in LFIA by developing a three-dimensional model using the Richards equation and por...
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MDPI AG
2024-03-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/24/6/1989 |
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| author | Xuyan Zhao Yuan Zhang Qunfeng Niu Li Wang Chenglong Xing Qiao Wang Hui Bao |
| author_facet | Xuyan Zhao Yuan Zhang Qunfeng Niu Li Wang Chenglong Xing Qiao Wang Hui Bao |
| author_sort | Xuyan Zhao |
| collection | DOAJ |
| description | Lateral flow immunoassay (LFIA) is extensively utilized for point-of-care testing due to its ease of operation, cost-effectiveness, and swift results. This study investigates the flow dynamics and reaction mechanisms in LFIA by developing a three-dimensional model using the Richards equation and porous media transport, and employing numerical simulations through the finite element method. The study delves into the transport and diffusion behaviors of each reaction component in both sandwich LFIA and competitive LFIA under non-uniform flow conditions. Additionally, the impact of various parameters (such as reporter particle concentration, initial capture probe concentrations for the T-line and C-line, and reaction rate constants) on LFIA performance is analyzed. The findings reveal that, in sandwich LFIA, optimizing parameters like increasing reporter particle concentration and initial capture probe concentration for the T-line, as well as adjusting reaction rate constants, can effectively enhance detection sensitivity and broaden the working range. Conversely, in competitive LFIA, the effects are inverse. This model offers valuable insights for the design and enhancement of LFIA assays. |
| first_indexed | 2024-04-24T17:49:01Z |
| format | Article |
| id | doaj.art-03b7d763b7874b53bc276b77ed4e0426 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-24T17:49:01Z |
| publishDate | 2024-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-03b7d763b7874b53bc276b77ed4e04262024-03-27T14:04:19ZengMDPI AGSensors1424-82202024-03-01246198910.3390/s24061989Research on the Flow Characteristics and Reaction Mechanisms of Lateral Flow Immunoassay under Non-Uniform FlowXuyan Zhao0Yuan Zhang1Qunfeng Niu2Li Wang3Chenglong Xing4Qiao Wang5Hui Bao6College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, ChinaCollege of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, ChinaCollege of Electrical Engineering, Henan University of Technology, Zhengzhou 450001, ChinaCollege of Electrical Engineering, Henan University of Technology, Zhengzhou 450001, ChinaCollege of Electrical Engineering, Henan University of Technology, Zhengzhou 450001, ChinaCollege of Electrical Engineering, Henan University of Technology, Zhengzhou 450001, ChinaCollege of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, ChinaLateral flow immunoassay (LFIA) is extensively utilized for point-of-care testing due to its ease of operation, cost-effectiveness, and swift results. This study investigates the flow dynamics and reaction mechanisms in LFIA by developing a three-dimensional model using the Richards equation and porous media transport, and employing numerical simulations through the finite element method. The study delves into the transport and diffusion behaviors of each reaction component in both sandwich LFIA and competitive LFIA under non-uniform flow conditions. Additionally, the impact of various parameters (such as reporter particle concentration, initial capture probe concentrations for the T-line and C-line, and reaction rate constants) on LFIA performance is analyzed. The findings reveal that, in sandwich LFIA, optimizing parameters like increasing reporter particle concentration and initial capture probe concentration for the T-line, as well as adjusting reaction rate constants, can effectively enhance detection sensitivity and broaden the working range. Conversely, in competitive LFIA, the effects are inverse. This model offers valuable insights for the design and enhancement of LFIA assays.https://www.mdpi.com/1424-8220/24/6/1989lateral flow immunoassay (LFIA)non-uniform flowsandwich LFIAcompetitive LFIAfinite element method |
| spellingShingle | Xuyan Zhao Yuan Zhang Qunfeng Niu Li Wang Chenglong Xing Qiao Wang Hui Bao Research on the Flow Characteristics and Reaction Mechanisms of Lateral Flow Immunoassay under Non-Uniform Flow Sensors lateral flow immunoassay (LFIA) non-uniform flow sandwich LFIA competitive LFIA finite element method |
| title | Research on the Flow Characteristics and Reaction Mechanisms of Lateral Flow Immunoassay under Non-Uniform Flow |
| title_full | Research on the Flow Characteristics and Reaction Mechanisms of Lateral Flow Immunoassay under Non-Uniform Flow |
| title_fullStr | Research on the Flow Characteristics and Reaction Mechanisms of Lateral Flow Immunoassay under Non-Uniform Flow |
| title_full_unstemmed | Research on the Flow Characteristics and Reaction Mechanisms of Lateral Flow Immunoassay under Non-Uniform Flow |
| title_short | Research on the Flow Characteristics and Reaction Mechanisms of Lateral Flow Immunoassay under Non-Uniform Flow |
| title_sort | research on the flow characteristics and reaction mechanisms of lateral flow immunoassay under non uniform flow |
| topic | lateral flow immunoassay (LFIA) non-uniform flow sandwich LFIA competitive LFIA finite element method |
| url | https://www.mdpi.com/1424-8220/24/6/1989 |
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