利用 G-CDs@[Ru(bpy)3]2+ 特异性检测次氯酸盐和活细胞成像的比率荧光检测平台

Mingcong Rong, Zheng He, Danru Wang, Jiahao Zeng, Qian Liu, Li Niu
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引用次数: 0

摘要

次氯酸盐(ClO-)是生理过程中不可或缺的活性氧(ROS),被认为与氧化应激和相关疾病密切相关。同时,次氯酸盐(ClO-)是一种常用的水处理消毒剂,在公共场所的酸性条件下,它很容易分解成剧毒的氯气。由于 ClO- 具有强氧化性,许多氧化剂都可能干扰 ClO- 的检测。如何以更高的灵敏度特异、准确地检测 ClO- 是一项挑战。本研究利用绿色荧光碳点(G-CDs)构建了一个快速、灵敏和特异性检测 ClO- 的传感平台,其线性检测范围为 0.5-11 µm,检测限为 0.233 µm。此外,还引入了红色荧光三吡啶钌([Ru(bpy)3]2+)作为参照物,制备了一种比率荧光纳米探针 G-CDs@[Ru(bpy)3]2+,并对外源和内源 ClO- 进行了良好的细胞内成像。利用基于 G-CDs@[Ru(bpy)3]2+ 的试纸微阵列和颜色识别 APP,还制作了基于智能手机的 ClO- 床旁检测传感系统。总之,本研究提出了一种多功能、经济型、可靠简便的智能手机传感系统,并提出了其在环境水质监测和活细胞成像方面的潜在应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A Ratiometric Fluorescent Detection Platform Using G-CDs@[Ru(bpy)3]2+ for the Specific Detection of Hypochlorite and Live Cell Imaging

A Ratiometric Fluorescent Detection Platform Using G-CDs@[Ru(bpy)3]2+ for the Specific Detection of Hypochlorite and Live Cell Imaging

Hypochlorite (ClO), an essential reactive oxygen species (ROS) in physiological processes, is identified to be closely connected with oxidative stress and related diseases. Meanwhile, ClO is a commonly-used disinfector for water treatment, and in public places, under acidic conditions, it's easily decomposed into hypertoxic chlorine gas. Since the strong oxidizing property of ClO, many oxidizing agents may disturb the ClO detection. Specific and accurate detection of ClO with superior sensitivity is a challenge. In this work, a sensing platform for rapid, sensitive, and specific ClO detection is constructed using green fluorescent carbon dots (G-CDs), with a linear detection range of 0.5–11 µm and a detection limit of 0.233 µm. Moreover, introducing a red fluorescent tripyridinium ruthenium ([Ru(bpy)3]2+) as a reference, a ratiometric fluorescence nanoprobe G-CDs@[Ru(bpy)3]2+ is prepared and shows favorable intracellular imaging of exogenous and endogenous ClO. With G-CDs@[Ru(bpy)3]2+-based test paper microarrays and a color recognition APP, a smartphone-based sensing system for point-of-care testing of ClO is also fabricated. In summary, this work proposed a versatile and economical smartphone-based sensing system that featured reliability and simplicity, and suggested its potential applications in environmental water quality monitoring and live cell imaging.

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