Suppr超能文献

基于生物和仿生受体的医学诊断、环境和食品分析传感器。

Sensors Based on Bio and Biomimetic Receptors in Medical Diagnostic, Environment, and Food Analysis.

机构信息

Department of Analytical Chemistry, Institute of Chemical Engineering, Ural Federal University named after the first President of Russia B.N. Yeltsin, 620002 Yekaterinburg, Russia.

Scientific and Innovation Center for Sensory Technologies, Ural State University of Economics, 620144 Yekaterinburg, Russia.

出版信息

Biosensors (Basel). 2018 Apr 1;8(2):35. doi: 10.3390/bios8020035.

Abstract

Analytical chemistry is now developing mainly in two areas: automation and the creation of complexes that allow, on the one hand, for simultaneously analyzing a large number of samples without the participation of an operator, and on the other, the development of portable miniature devices for personalized medicine and the monitoring of a human habitat. The sensor devices, the great majority of which are biosensors and chemical sensors, perform the role of the latter. That last line is considered in the proposed review. Attention is paid to transducers, receptors, techniques of immobilization of the receptor layer on the transducer surface, processes of signal generation and detection, and methods for increasing sensitivity and accuracy. The features of sensors based on synthetic receptors and additional components (aptamers, molecular imprinted polymers, biomimetics) are discussed. Examples of bio- and chemical sensors' application are given. Miniaturization paths, new power supply means, and wearable and printed sensors are described. Progress in this area opens a revolutionary era in the development of methods of on-site and in-situ monitoring, that is, paving the way from the "test-tube to the smartphone".

摘要

分析化学目前主要在两个领域发展

自动化和创建允许一方面无需操作人员参与即可同时分析大量样品的复合物,另一方面开发用于个性化医疗和监测人类居住环境的便携式微型设备。传感器设备,其中绝大多数是生物传感器和化学传感器,起到了后者的作用。后一句在提出的综述中进行了讨论。本文重点介绍了换能器、受体、将受体层固定在换能器表面上的技术、信号产生和检测过程以及提高灵敏度和准确性的方法。讨论了基于合成受体和附加组件(适体、分子印迹聚合物、仿生学)的传感器的特点。给出了生物和化学传感器应用的实例。描述了小型化路径、新的电源方式以及可穿戴和印刷传感器。该领域的进展开创了现场和原位监测方法的革命性时代,即从“试管到智能手机”铺平道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c4f9/6022999/46da592b8562/biosensors-08-00035-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