利用基于智能手机的阅读系统提高黄曲霉毒素 B1 单斑点侧向流动免疫分析的性能。

Post-Harvest & Food Engineering Division, Department of Agricultural Engineering, National Academy of Agricultural Sciences, Suwon 441707, Korea.

Sensors (Basel). 2013 Apr 18;13(4):5109-16. doi: 10.3390/s130405109.

This study was conducted to develop a simple, rapid, and accurate lateral flow immunoassay (LFIA) detection method for point-of-care diagnosis. The one-dot LFIA for aflatoxin B1 (AFB1) was based on the modified competitive binding format using competition between AFB1 and colloidal gold-AFB1-BSA conjugate for antibody binding sites in the test zone. A Smartphone-based reading system consisting of a Samsung Galaxy S2 Smartphone, a LFIA reader, and a Smartphone application for the image acquisition and data analysis. The detection limit of one-dot LFIA for AFB1 is 5 μg/kg. This method provided semi-quantitative analysis of AFB1 samples in the range of 5 to 1,000 μg/kg. Using combination of the one-dot LFIA and the Smartphone-based reading system, it is possible to conduct a more fast and accurate point-of-care diagnosis.

本研究旨在开发一种简单、快速、准确的侧向流动免疫分析（LFIA）检测方法，用于即时诊断。该单一点 LFIA 检测黄曲霉毒素 B1（AFB1）的原理是基于改良的竞争结合模式，在检测区中，AFB1 与胶体金-AFB1-BSA 缀合物竞争与抗体结合位点的结合。该单一点 LFIA 检测 AFB1 的检测限为 5μg/kg。该方法对半定量分析 5 至 1000μg/kg 范围内的 AFB1 样品提供了半定量分析。通过将单一点 LFIA 与基于智能手机的阅读系统相结合，可以进行更快速、更准确的即时诊断。