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通过具有金-硒界面的稳健表面增强拉曼散射纳米探针精确监测线粒体HO

Accurate Monitoring of Mitochondrial HO by Robust SERS Nanoprobes with a Au-Se Interface.

作者信息

Li Xiaoxiao, Duan Xiaoyan, Yang Peng, Li Lu, Tang Bo

机构信息

College of Chemistry, Chemical Engineering and Materials Science, Key Laboratory of Molecular and Nano Probes, Ministry of Education, Collaborative Innovation Center of Functionalized Probes for Chemical Imaging in Universities of Shandong, Institute of Molecular and Nano Science, Shandong Normal University, Jinan 250014, P. R. China.

出版信息

Anal Chem. 2021 Mar 2;93(8):4059-4065. doi: 10.1021/acs.analchem.0c05065. Epub 2021 Feb 18.

Abstract

Mitochondrial redox homeostasis plays a vital role in many biological processes. Hydrogen peroxide (HO), one of the most important components for the balance between oxidizing species and reducing species, also acts as the messenger of mitochondrial damage. Thus, an accurate quantitative detection of HO in mitochondria is very important for the evaluation of mitochondrial redox homeostasis. Here, we develop robust surface-enhanced Raman spectroscopy (SERS) nanoprobes based on Au nanoparticles as SERS substrate and functionalized carrier, which is further modified with a phenylboronic acid pinacol ester for specific HO response and a location peptides for mitochondrial targeting by creating a robust Au-Se interface. The SERS nanoprobes show good resistance to abundant thiol under biological conditions and superior performance for mitochondria HO monitoring in living cells than the SERS nanoprobes with the traditional Au-S interface, which enables us to achieve quantification of mitochondrial HO and obtain its real-time dynamic change under oxidative stress.

摘要

线粒体氧化还原稳态在许多生物学过程中起着至关重要的作用。过氧化氢(H₂O₂)作为氧化物种和还原物种平衡的最重要成分之一,也是线粒体损伤的信使。因此,准确地定量检测线粒体中的H₂O₂对于评估线粒体氧化还原稳态非常重要。在此,我们基于金纳米颗粒作为表面增强拉曼光谱(SERS)基底和功能化载体,开发了稳健的SERS纳米探针,该纳米探针进一步用苯硼酸频哪醇酯进行修饰以实现对H₂O₂的特异性响应,并用定位肽通过创建稳健的金 - 硒界面来靶向线粒体。与具有传统金 - 硫界面的SERS纳米探针相比,该SERS纳米探针在生物条件下对丰富的硫醇具有良好的抗性,并且在活细胞中线粒体H₂O₂监测方面具有优异的性能,这使我们能够实现线粒体H₂O₂的定量分析,并获得其在氧化应激下的实时动态变化。

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