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Updated: May 3, 2026

In Vivo Imaging of Reactive Oxygen Species in a Murine Wound Model
Published on: November 17, 2018
Mitochondria-targeted redox-logic carbon dots for in vivo realtime visualization of peroxynitrite during
Jing-Yu Hu1, Xin Gen2, Yuan-Qiang Sun2
1Henan Key Laboratory of Cancer Epigenctics; Cancer Institute,The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, 471003, China; College of Chemistry, Institute of Analytical Chemistry for Life Science, Henan Joint International Research Laboratory of Green Construction of Functional Molecules and Their Bioanalytical Applications, Zhengzhou University, Zhengzhou, 450001, China.
Abstract:
Mitochondrial oxidative imbalance is closely associated with inflammation, tissue injury and disease progression, where endogenous thiols and peroxynitrite (ONOO-) play a competitive dominant role in determining cellular redox status. However, this process is hindered by the fact that ONOO- has an ultrashort half-life (10-20 ms), is spatially heterogeneous, and exhibits antagonistic interplay with glutathione (GSH). Existing fluorescent nanoprobes rely on irreversible mechanisms and are unable to capture the net redox balance. Herein, a novel approach for the in vivo visualization of ONOO- is presented using near-infrared mitochondria-targeted silicon-doped carbon dots (Si-Mito CDs) as a redox-logic nanoprobe. Si-Mito CDs demonstrate excellent mitochondrial colocalization (Pearson coefficient: 0.92), exhibit a sensitive response to GSH (0-10 μM) and ONOO- (0-100 μM), and successfully detects endogenous mitochondrial ONOO- elevation (fluorescence intensity nearly doubled) in LPS/IFN-γ-stimulated HepG-2 cells, with signal suppression upon TEMPO treatment confirming specificity. Importantly, real-time zebrafish tail amputation imaging revealed fluorescence enhancement peaking at 5 min post-injury, followed by gradual decline, which directly reflected spatiotemporal ONOO-/GSH fluctuation dynamics. This work establishes a novel reversible sensing platform for elucidating wound healing mechanisms and guiding therapeutic interventions.
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