State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, School of Ecology and Environmental Science, Yunnan University, Kunming, 650091, China.
Medical Laboratory, University of Chinese Academy of Sciences Shenzhen Hospital, Shenzhen, 518106, China.
Talanta. 2022 Jan 15;237:122896. doi: 10.1016/j.talanta.2021.122896. Epub 2021 Oct 5.
Noroviruses are the leading cause of acute gastroenteritis and food-borne diseases worldwide. Thus, a rapid, accurate, and easy-to-implement detection method for controlling infection and monitoring progression is urgently needed. In this study, we constructed a novel sandwich-type electrochemical biosensor integrated with two specific recognition elements (aptamer and peptide) for human norovirus (HuNoV). The electrochemical biosensor was fabricated using magnetic covalent organic framework/pillararene heterosupramolecular nanocomposites (MB@Apt@WP5A@Au@COF@FeO) as the signal probes. The sensor showed high accuracy and selectivity. The detection method does not need the extraction and amplification of virus nucleic acid and has a short turn-around time. Intriguingly, the proposed biosensor had a limit of detection of 0.84 copy mL for HuNoV, which was the highest sensitivity among published assays. The proposed biosensor showed higher sensitivity and accuracy compared with immunochromatographic assay in the detection of 98 clinical specimens. The biosensor was capable of determining the predominant infection strain of GII.4 and also GII.3 and achieved 74% selectivity for HuNoV GII group. This study provides a potential method for point-of-care testing and highlights the integrated utilization of Apt and peptide in sensor construction.
诺如病毒是全球急性胃肠炎和食源性疾病的主要病原体。因此，迫切需要一种快速、准确且易于实施的检测方法来控制感染和监测进展。在本研究中，我们构建了一种新型夹心型电化学生物传感器，该传感器集成了两种特定的识别元件（适体和肽）用于检测人诺如病毒（HuNoV）。电化学生物传感器是使用磁性共价有机框架/冠醚超分子杂化纳米复合材料（MB@Apt@WP5A@Au@COF@FeO）作为信号探针制备的。该传感器具有较高的准确性和选择性。该检测方法不需要病毒核酸的提取和扩增，且具有较短的检测时间。有趣的是，所提出的生物传感器对 HuNoV 的检测限为 0.84 拷贝/mL，是已发表的检测方法中灵敏度最高的。与免疫层析测定法相比，该生物传感器在检测 98 份临床标本时具有更高的灵敏度和准确性。该生物传感器能够确定 GII.4 主要感染株，对 HuNoV GII 组的选择性为 74%。本研究为即时检测提供了一种潜在的方法，并强调了适体和肽在传感器构建中的综合利用。
