Suppr超能文献

基于纳米酶的电化学和比色传感器用于抗生素检测的前景。

Prospects for the use of nanozyme-based electrochemical and colorimetric sensors for antibiotic detection.

作者信息

Guliy Olga I, Dykman Lev A

机构信息

Institute of Biochemistry and Physiology of Plants and Microorganisms, Subdivision of the Federal State Budgetary Research Institution Saratov Federal Scientific Centre of the Russian Academy of Sciences, Saratov, 410049, Russia.

Institute of Biochemistry and Physiology of Plants and Microorganisms, Subdivision of the Federal State Budgetary Research Institution Saratov Federal Scientific Centre of the Russian Academy of Sciences, Saratov, 410049, Russia.

出版信息

Talanta. 2025 May 1;286:127524. doi: 10.1016/j.talanta.2025.127524. Epub 2025 Jan 7.

Abstract

Rapid and accurate monitoring of residual antibiotic concentrations is of great importance in environmental monitoring. Therefore, research is active to develop new methods for analyzing antibiotics. Biosensors, including those based on nanozymes, are very successful for antibiotic analysis. Nanozymes (nanomaterials with enzymelike activity) have emerged as a promising solution offering improved stability, cost-effectiveness, and versatility, as compared with natural enzymes. The use of nanozyme-based electrochemical and colorimetric sensors for detecting antibiotics remains underexplored. This review presents the main prospects for the use of electrochemical and colorimetric nanozyme sensor systems to detect antibiotics. It identifies major shortcomings of these platforms and ways to deal with them. Finally, it highlights the advantages of these sensors over other systems and explains the main mechanisms of signal generation for antibiotic detection.

摘要

在环境监测中,快速准确地监测残留抗生素浓度至关重要。因此,开发分析抗生素的新方法的研究十分活跃。生物传感器,包括基于纳米酶的传感器,在抗生素分析方面非常成功。与天然酶相比,纳米酶(具有类酶活性的纳米材料)作为一种有前景的解决方案出现,具有更高的稳定性、成本效益和多功能性。基于纳米酶的电化学和比色传感器在检测抗生素方面的应用仍未得到充分探索。本文综述了使用电化学和比色纳米酶传感器系统检测抗生素的主要前景。它指出了这些平台的主要缺点以及应对方法。最后,强调了这些传感器相对于其他系统的优势,并解释了用于抗生素检测的信号产生的主要机制。

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