Abstract
The lateral flow assays (LFAs) have been widely used in the point-of-care testing (POCT) fields, including disease diagnostic, food safety detection, and environment monitoring with the advantages of speed, cost-effectiveness, and other convenient features. However, the detection sensitivity of LFAs is not high enough, which limits their widespread applications. This is mainly due to the poor understanding of the underlying mechanism of flow, and the transport and reaction processes. Mathematical modeling hence provides great potential to reveal the underlying mechanism and predict the LFAs’ performance. Various mathematical models have been developed to study the liquid flow in the paper materials and analyte transport and reaction in LFAs. In this chapter, we summarize the existing mathematical models and key factors, highlighting advantages and limitations of each model. Better understanding of the underlying mechanism of flow and transport and reaction processes would provide significant suggestions for LFA design and applications.
| Original language | English |
|---|---|
| Title of host publication | Emerging Technologies in Biophysical Sciences |
| Subtitle of host publication | A World Scientific Reference: Volume 3: Emerging Technologies for Diagnostics |
| Publisher | World Scientific Publishing Co. |
| Pages | 175-198 |
| Number of pages | 24 |
| Volume | 3 |
| ISBN (Electronic) | 9789811225680 |
| ISBN (Print) | 9789811225659 |
| DOIs | |
| State | Published - 1 Jan 2022 |