Dynamic Covalent Cage: A Selective and Robust Fluorescence Sensor for Copper Ion Detection in Aqueous Solutions
The development of advanced sensing systems for the selective detection of metal ions, such as copper (Cu 2+ ), is a pressing challenge in modern analytical and environmental chemistry due to their dual role as essential elements in biological systems and potential toxins at elevated concentrations. Herein, a novel fluorescent organic cage based on a triphenylamine (TPA) chromophore is introduced, designed specifically for the detection of Cu 2+ ions in water. The design concept involves the incorporation of two dynamic covalent bonds: acylhydrazone and disulfide, within a single cage structure, imparting adaptability and exceptional sensing performance. This cage demonstrates a distinct “turn‐off” fluorescence response, with a pronounced signal decrease upon Cu 2+ binding, offering reliable and accurate quantitative detection. Additionally, the system provides qualitative, visible colorimetric responsivity, enabling straightforward, visual detection without the need for advanced instrumentation. Its high selectivity toward Cu 2+ , combined with a low detection limit of 4.75 μM, ensures precise analysis even in the presence of competing metal ions. Practical applicability is demonstrated through the successful detection of Cu 2+ in real water samples, highlighting the system's potential for environmental monitoring and field application.
Authors
- Chengzhong Yu (ORCID: https://orcid.org/0000-0003-3707-0785)
- Artur R. Stefankiewicz (ORCID: https://orcid.org/0000-0002-6177-358X)
- Wojciech Drożdż (ORCID: https://orcid.org/0000-0002-0829-386X)
- Chao Liu (ORCID: https://orcid.org/0000-0003-2046-3478)
Institutions
- The University of Queensland (AU)
- Adam Mickiewicz University in Poznań (PL)
- East China Normal University (CN)
Publication Details
- Journal
- Small Structures
- Published
- 2025-09-23
- DOI
- https://doi.org/10.1002/sstr.202500216
- Citations
- 1
- Primary Topic
- Molecular Sensors and Ion Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.76