Suppr超能文献

基于 SERS 的生物传感器,以寡核苷酸作为识别元件,用于病毒检测。

SERS-Based Biosensors for Virus Determination with Oligonucleotides as Recognition Elements.

机构信息

Mechnikov Research Institute of Vaccines and Sera, Moscow 105064, Russia.

Institute of Solid State Physics RAS, Chernogolovka 142432, Russia.

出版信息

Int J Mol Sci. 2020 May 10;21(9):3373. doi: 10.3390/ijms21093373.

Abstract

Viral infections are among the main causes of morbidity and mortality of humans; sensitive and specific diagnostic methods for the rapid identification of viral pathogens are required. Surface-enhanced Raman spectroscopy (SERS) is one of the most promising techniques for routine analysis due to its excellent sensitivity, simple and low-cost instrumentation and minimal required sample preparation. The outstanding sensitivity of SERS is achieved due to tiny nanostructures which must be assembled before or during the analysis. As for specificity, it may be provided using recognition elements. Antibodies, complimentary nucleic acids and aptamers are the most usable recognition elements for virus identification. Here, SERS-based biosensors for virus identification with oligonucleotides as recognition elements are reviewed, and the potential of these biosensors is discussed.

摘要

病毒感染是人类发病和死亡的主要原因之一;因此,需要灵敏和特异的诊断方法来快速鉴定病毒病原体。表面增强拉曼光谱(SERS)是一种很有前途的常规分析技术,因为它具有极好的灵敏度、简单和低成本的仪器以及最小的样品制备要求。SERS 的出色灵敏度是通过在分析之前或分析过程中组装的微小纳米结构来实现的。至于特异性,可以使用识别元件来提供。抗体、互补核酸和适体是用于病毒鉴定的最有用的识别元件。本文综述了基于 SERS 的以寡核苷酸作为识别元件的用于病毒鉴定的生物传感器,并讨论了这些生物传感器的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e3a/7247000/0ddc8fcfd959/ijms-21-03373-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验