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Research on the Flow Characteristics and Reaction Mechanisms of Lateral Flow Immunoassay under Non-Uniform Flow.
Zhao, Xuyan; Zhang, Yuan; Niu, Qunfeng; Wang, Li; Xing, Chenglong; Wang, Qiao; Bao, Hui.
Afiliação
  • Zhao X; College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China.
  • Zhang Y; College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China.
  • Niu Q; College of Electrical Engineering, Henan University of Technology, Zhengzhou 450001, China.
  • Wang L; College of Electrical Engineering, Henan University of Technology, Zhengzhou 450001, China.
  • Xing C; College of Electrical Engineering, Henan University of Technology, Zhengzhou 450001, China.
  • Wang Q; College of Electrical Engineering, Henan University of Technology, Zhengzhou 450001, China.
  • Bao H; College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China.
Sensors (Basel) ; 24(6)2024 Mar 20.
Article em En | MEDLINE | ID: mdl-38544252
ABSTRACT
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Nanopartículas Metálicas Idioma: En Revista: Sensors (Basel) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Nanopartículas Metálicas Idioma: En Revista: Sensors (Basel) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China País de publicação: Suíça