A Ratiometric Time‐Gated Luminescence Probe for Imaging H <sub>2</sub> O <sub>2</sub> in Endoplasmic Reticulum of Living Cells and Its Application to Smartphone‐Guided Bioimaging
The significance of H<sub>2</sub>O<sub>2</sub> as a marker of reactive oxygen species (ROS) and oxidative stress in living organisms has spurred growing interest in its roles in inflammation and disease progression. In this report, a ratiometric time-gated luminescence (RTGL) probe is proposed based on mixed lanthanide complexes, ER-BATTA-Tb<sup>3+</sup>/Eu<sup>3+</sup>, for imaging the H<sub>2</sub>O<sub>2</sub> generation both in vitro and in vivo. Upon exposure to H<sub>2</sub>O<sub>2</sub>, the probe undergoes cleavage of the benzyl boric acid group, releasing hydroxyl (─OH) groups, which significantly reduces the emission of the Eu<sup>3+</sup> complex while slightly increasing the emission of the Tb<sup>3+</sup> complex. This response allows the I<sub>540</sub>/I<sub>610</sub> ratio to be used as an indicator for monitoring the H<sub>2</sub>O<sub>2</sub> level changes. The probes are capable of selectively accumulating in the endoplasmic reticulum (ER), allowing effective imaging of H<sub>2</sub>O<sub>2</sub> in the ER of living cells and liver-injured mice under oxidative stress. Moreover, by integrating ER-BATTA-Tb<sup>3+</sup>/Eu<sup>3+</sup> into (polyethylene glycol) PEG hydrogels, the H<sub>2</sub>O<sub>2</sub>-responsive smart sensor films, PEG-H<sub>2</sub>O<sub>2</sub>-Sensor films, are created, which enable the real-time monitoring of H<sub>2</sub>O<sub>2</sub> levels in various wounds using a smartphone imaging platform and R/G channel evaluation. The sensor films are also innovatively applied for the in situ monitoring of H<sub>2</sub>O<sub>2</sub> in brains of epileptic rats, facilitating the precise assessment of brain damage. This study provides a valuable tool for the quantitative detection of H<sub>2</sub>O<sub>2</sub> in vitro and in vivo, as well as for the clinical monitoring and treatment of H<sub>2</sub>O<sub>2</sub>-related diseases in multiple scenarios.
Authors
- Yundi Huang
- Deshu Kong
- Jingli Yuan (ORCID: https://orcid.org/0000-0002-8278-3154)
- Bo Song (ORCID: https://orcid.org/0000-0002-8584-1591)
- Xinyue Zhang (ORCID: https://orcid.org/0000-0003-4290-4289)
- Qi Liu
- Kaiwen Chen (ORCID: https://orcid.org/0009-0001-1534-4020)
Institutions
- Dalian University of Technology (CN)
- Dalian University (CN)
- Dalian Minzu University (CN)
Publication Details
- Journal
- Small
- Published
- 2024-11-26
- DOI
- https://doi.org/10.1002/smll.202407631
- Citations
- 3
- Primary Topic
- Molecular Sensors and Ion Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.72
Funders
- National Natural Science Foundation of China