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A pH-correctable, viscosity-susceptible fluorescent reporter for organellar sulfur dioxide
Sensors and Actuators B: Chemical ( IF 8.0 ) Pub Date : 2022-08-11 , DOI: 10.1016/j.snb.2022.132506
Jingting Zhan , Chen Geng , Xinya Hao , Wenhui Song , Zihong Li , Weiying Lin

Multi-recognition fluorescent probes are recently generating curiosity in cellular imaging of complex microenvironments within organisms. However, it is extremely challenging to effectively detect mitochondria sulfur dioxide in the tanglesome cellular microenvironment because endogenous SO2 indicators are incentive to viscosity and pH changes. The fluctuation of SO2 is associated with inflammatory responses and disruption of acid-base homeostasis in the cellular microenvironment. Herein, we have described a unique multi-identification sensor MVP-SO2 for detecting the pH, viscosity, and SO2. MVP-SO2 combined two fluorescence signal emission channels of blue and red to explore the variation of pH and viscosity sensitively through the change of fluorescence intensity. At the same time, MVP-SO2 can also monitor the fluctuation of SO2 levels by Michael addition reaction. Furthermore, the probe has the characteristics of glorious long-term fluorescence stability and low cytotoxicity. Additionally, using this new novel sensor, not only the detection of pH and viscosity changes with drug stimulation has been successfully achieved, but also the fluctuation of exogenous and endogenous SO2 levels over time under physiological conditions were monitored. This approach could further integrate with various disease models and provide a strategy for multi-signal detection.



中文翻译:

用于细胞器二氧化硫的 pH 可校正、粘度敏感的荧光报告器

多识别荧光探针最近对生物体内复杂微环境的细胞成像产生了好奇心。然而,在复杂的细胞微环境中有效检测线粒体二氧化硫极具挑战性,因为内源性 SO 2指示剂会刺激粘度和 pH 值的变化。SO 2的波动与炎症反应和细胞微环境中酸碱稳态的破坏有关。在这里,我们描述了一种独特的多识别传感器MVP-SO 2,​​用于检测 pH 值、粘度和 SO 2MVP-SO 2结合蓝色和红色两个荧光信号发射通道,通过荧光强度的变化灵敏地探索pH和粘度的变化。同时,MVP-SO 2还可以通过迈克尔加成反应监测SO 2水平的波动。此外,该探针还具有长期荧光稳定性好、细胞毒性低等特点。此外,使用这种新型传感器,不仅成功实现了对药物刺激下pH和粘度变化的检测,而且还可以检测外源性和内源性SO 2的波动。监测生理条件下随时间推移的水平。这种方法可以进一步与各种疾病模型集成,并提供多信号检测策略。

更新日期:2022-08-11
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