4.7 Article

Performance improvement of lateral flow assay using heterogeneous nitrocellulose membrane with nonuniform pore size

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.icheatmasstransfer.2023.106729

Keywords

Paper microfluidics; Mathematic model; Nitrocellulose membrane; Binding reaction

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A mathematical model was developed to study the methods for improving the detection sensitivity of portable diagnostic devices. By simulating capillary flow and binding reactions on the internal pore surface, the effect of different specifications of nitrocellulose membranes on detection performance was investigated. The simulated results showed that selecting a membrane with an optimal average pore size can achieve the highest detection sensitivity, and a heterogeneous pore distribution design was proposed to improve detection speed and sensitivity.
Lateral flow assay (LFA) has found widespread applications in point-of-care diagnostics over the past decades. Its detection sensitivity is dependent on the properties of paper itself (e.g., porous microstructure of nitrocellulose membrane), however, the effect remains unknown. Existing mathematical models for LFA have not been proved to predict the variation trends of detection performance with different specifications of nitrocellulose membrane. To address this, we developed a mathematical model coupling the macroscopic capillary flow and the binding reaction on the internal pore surface to illustrate the complex interaction among the convection, diffusion, and binding reaction with different nitrocellulose membranes. The model was experimentally validated by imple-menting nucleic acid detection on LFA. The simulated results suggest that due to the trade-off between the re-agent transport and the reactive surface area, there is an optimal average pore size of the nitrocellulose membrane to achieve the highest detection sensitivity. Additionally, a heterogeneous pore distribution design (i. e., smaller pore diameter at the test line region and larger pore diameter for the rest region) of the nitrocellulose membrane was proposed to provide a faster detection with improved sensitivity. The numerical model would be a practical tool for the material selection and optimization of LFA.

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