Box 355061, Department of Bioengineering, University of Washington, Seattle, Washington, USA.
Anal Chem. 2011 Oct 15;83(20):7941-6. doi: 10.1021/ac201950g. Epub 2011 Sep 21.
Point-of-care diagnostic assays that are rapid, easy-to-use, and low-cost are needed for use in low-resource settings; the lateral flow test has become the standard bioassay format in such settings because it meets those criteria. However, for a number of analytes, conventional lateral flow tests lack the sensitivity needed to have clinical utility. To address this limitation, we are developing a paper network platform that extends the conventional lateral flow test to two dimensions. The two-dimensional structures allow incorporation of multistep processes for improved sensitivity, while still retaining the positive aspects of conventional lateral flow tests. Here we create an easy-to-use, signal-amplified immunoassay based on a modified commercial strip test for human chorionic gonadotropin, the hormone used to detect pregnancy, and demonstrate an improved limit of detection compared to a conventional lateral flow assay. These results highlight the potential of the paper network platform to enhance access to high-quality diagnostic capabilities in low-resource settings in the developed and developing worlds.
需要在资源匮乏的环境中使用快速、易于使用且成本低廉的即时诊断检测方法；横向流动测试已成为此类环境中的标准生物测定格式，因为它符合这些标准。然而，对于许多分析物，传统的横向流动测试缺乏具有临床实用性所需的灵敏度。为了解决这一限制，我们正在开发一种纸张网络平台，将传统的横向流动测试扩展到二维。二维结构允许整合多步处理以提高灵敏度，同时仍然保留传统横向流动测试的积极方面。在这里，我们创建了一种基于人绒毛膜促性腺激素（用于检测怀孕的激素）的改良商业条带测试的易于使用的信号放大免疫测定，并与传统的横向流动测定相比，检测限得到了改善。这些结果突出了纸张网络平台在提高发达国家和发展中国家资源匮乏地区获得高质量诊断能力方面的潜力。
