Academy of Opto-electric Technology, Hefei University of Technology, Special Display and Imaging Technology Innovation Center of Anhui Province, State Key Laboratory of Advanced Display Technology, 193 Tunxi Road, Hefei, 230009, China.
Academy of Opto-electric Technology, Hefei University of Technology, Special Display and Imaging Technology Innovation Center of Anhui Province, State Key Laboratory of Advanced Display Technology, 193 Tunxi Road, Hefei, 230009, China.
Anal Biochem. 2021 Apr 15;619:114130. doi: 10.1016/j.ab.2021.114130. Epub 2021 Feb 16.
Lateral flow assays (LFAs) are extensively used in qualitative detection because of their convenience, low cost, fast results, and ease of operation. However, the sample volume used in a lateral flow assay is usually determined experimentally. We test and find that the flow velocity is influenced by sample volume, using fluorescent microspheres as label particles, when analyte concentration is fixed in a sandwich LFA. A model is developed based on mass-action kinetics and advection-diffusion-reaction equation, combing the conjugate pad and nitrocellulose membrane. The model shows predictions from 10 to 120 μL, and predicts accurately the experimental results from 50 to 120 μL where the fluid can flow to the test line. Over all, the model can provide predictions over a wide range of sample volumes for sensitivity analysis. On the basis of the model, the sensitivity of the LFA can be improved according to the sample volume added in the experiment.
侧向流检测法（LFA）因其便捷、低成本、快速得出结果和易于操作而被广泛用于定性检测。然而，侧向流检测法中所用的样本体积通常是通过实验确定的。我们测试并发现，当夹心型侧向流检测法中的分析物浓度固定时，样本体积会影响流动速率，此时使用荧光微球作为标记粒子。我们基于质量作用动力学和对流-扩散-反应方程建立了一个模型，将结合垫和硝酸纤维素膜结合起来。该模型可以预测 10 到 120 μL 的范围，并且可以准确预测 50 到 120 μL 的实验结果，在这个范围内，流体可以流向检测线。总的来说，该模型可以在较宽的样本体积范围内提供预测，以便进行灵敏度分析。基于该模型，可以根据实验中添加的样本体积来提高侧向流检测法的灵敏度。
