Department of Biotechnology and Bioinformatics, Korea University, Sejong 30019, South Korea; Interdisciplinary Graduate Program for Artificial Intelligence Smart Convergence Technology, Korea University, Sejong 30019, South Korea.
School of Biomedical Engineering, Korea University, Seoul 02841, South Korea.
Anal Chim Acta. 2021 May 8;1158:338387. doi: 10.1016/j.aca.2021.338387. Epub 2021 Mar 12.
For the diabetes diagnosis, noninvasive methods are preferred to invasive methods; urine glucose measurement is an example of a noninvasive method. However, conventional noninvasive methods for urine glucose measurement are not intuitive. Furthermore, such methods exhibit low selectivity because they can detect interfering molecules in addition to glucose. Herein, we fabricate a noninvasive, intuitive, and highly selective paper sensor consisting of polyaniline nanoparticles (PAni-NPs) and red blood cell membranes (RBCMs). The PAni-NPs (adsorbed on the paper) are highly sensitive to hydrogen ions and change color from emeraldine blue to emeraldine green within a few seconds. The RBCM (coated on the PAni-NP-adsorbed paper) having the glucose transporter-1 protein plays the role of a smart filter that transports glucose but rejects other interfering molecules. In particular, the selectivity of the RBCM-coated PAni-NP-based paper sensor was approximately improved ∼85%, compared to the uncoated paper sensors. The paper sensor could detect urine glucose over the range of 0-10 mg/mL (0-56 mM), with a limit of detection of 0.54 mM. The proposed paper sensor will facilitate the development of a highly selective and colorimetric urine glucose monitoring system.
对于糖尿病诊断,人们更喜欢使用非侵入性方法,而非侵入性方法;尿糖测量就是一个非侵入性方法的例子。然而,传统的尿糖非侵入性测量方法不够直观。此外,由于这些方法除了葡萄糖之外还可以检测到干扰分子,因此选择性较低。在此,我们构建了一种非侵入性、直观且具有高选择性的纸传感器,由聚苯胺纳米粒子(PAni-NPs)和红细胞膜(RBCMs)组成。吸附在纸上的 PAni-NPs 对氢离子高度敏感,在几秒钟内从埃利蓝变为埃利绿。涂有葡萄糖转运蛋白-1 蛋白的 RBCM 起到智能过滤器的作用,它可以运输葡萄糖,但会排斥其他干扰分子。特别是,与未涂层的纸传感器相比,涂覆有 RBCM 的 PAni-NP 基纸传感器的选择性提高了约 85%。该纸传感器可检测 0-10mg/mL(0-56mM)范围内的尿糖,检测限为 0.54mM。该纸传感器将有助于开发高选择性和比色尿糖监测系统。