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基于石墨烯化学电阻器和磁性珠的高灵敏度尿酸检测。

Highly Sensitive Uric Acid Detection Based on a Graphene Chemoresistor and Magnetic Beads.

机构信息

Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215125, China.

College of Mechatronic Engineering, North University of China, Taiyuan 030051, China.

出版信息

Biosensors (Basel). 2021 Aug 29;11(9):304. doi: 10.3390/bios11090304.

Abstract

In this study, we developed a low-cost, reusable, and highly sensitive analytical platform for the detection of the human metabolite uric acid (UA). This novel analysis platform combines the graphene chemoresistor detection technique with a magnetic bead (MB) system. The heterojunction (single-layer graphene and HfO thin-film material) of our graphene-based biosensor worked as a transducer to detect the pH change caused by the specific catalytic reaction between UA and uricase, and hence acquires a UA concentration. Immobilization of uricase on MBs can decouple the functionalization steps from the sensor surface, which allows the sensor to be reusable. Our microsensor platform exhibits a relatively lower detection limit (1 μM), high sensitivity (5.6 mV/decade), a linear range (from 1 μM to 1000 μM), and excellent linearity (R = 0.9945). In addition, interference assay and repeatability tests were conducted, and the result suggests that our method is highly stable and not affected by common interfering substances (glucose and urea). The integration of this high-performance and compact biosensor device can create a point-of-care diagnosis system with reduced cost, test time, and reagent volume.

摘要

在这项研究中,我们开发了一种用于检测人类代谢物尿酸(UA)的低成本、可重复使用且高灵敏度的分析平台。这个新的分析平台将石墨烯化学电阻器检测技术与磁珠(MB)系统相结合。我们基于石墨烯的生物传感器的异质结(单层石墨烯和 HfO 薄膜材料)作为换能器,检测由 UA 和尿酸酶之间的特定催化反应引起的 pH 值变化,从而获得 UA 浓度。尿酸酶在 MB 上的固定化可以将功能化步骤与传感器表面解耦,从而使传感器可以重复使用。我们的微传感器平台表现出相对较低的检测限(1 μM)、高灵敏度(5.6 mV/decade)、线性范围(从 1 μM 到 1000 μM)和优异的线性度(R = 0.9945)。此外,进行了干扰测定和重复性测试,结果表明我们的方法高度稳定,不受常见干扰物质(葡萄糖和尿素)的影响。这种高性能和紧凑的生物传感器设备的集成可以创建具有降低成本、测试时间和试剂体积的即时诊断系统。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6015/8468455/a1ebd6ec2dfc/biosensors-11-00304-g001.jpg

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