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An activatable NIR turn-on fluorescent probe for copper (II) ion and live cell imaging
Nadeem Ahmed1, Jianfei Liu1, Xiujuan Xu1
1College of Chemistry, Zhengzhou University, Zhengzhou, 450001, China.
Scientific Reports
|August 17, 2024
Summary
A new fluorescent probe (MB-M) enables sensitive and selective detection of copper ions (Cu2+) through a visible color change. This probe is effective for cellular imaging and environmental monitoring.
Area of Science:
- Analytical Chemistry
- Chemical Sensing
- Materials Science
Background:
- Accurate detection of copper ions (Cu2+) is crucial for environmental and biological monitoring.
- Development of selective and sensitive fluorescent probes is an active area of research.
- Existing methods may lack speed, selectivity, or applicability in real-world samples.
Purpose of the Study:
- To develop a novel fluorescent probe (MB-M) for the selective detection of Cu2+ ions.
- To characterize the probe's sensing mechanism and performance.
- To evaluate the probe's utility in biological imaging and environmental sample analysis.
Main Methods:
- Synthesis and characterization of the MB-M fluorescent probe using NMR and HR-MS.
- Spectroscopic analysis (fluorescence and UV-vis) to determine selectivity and sensitivity towards Cu2+.
- Computational studies including NCI, QTAIM, NBO, EDD, and FMO analysis to elucidate the interaction mechanism.
Main Results:
- MB-M probe exhibited a distinct color change from colorless to indigo upon binding with Cu2+, enabling naked-eye detection.
- The probe demonstrated high selectivity, rapid response (5 minutes), broad pH applicability (2-7), and a low limit of detection (0.33 µM).
- Successful application of MB-M for Cu2+ imaging in HepG2 cells and detection in test strips and lake water samples.
Conclusions:
- The MB-M probe is a highly effective tool for sensitive and selective Cu2+ detection.
- The probe's performance is supported by detailed computational analysis revealing chemisorption interactions.
- MB-M shows significant potential for real-world applications in biological and environmental monitoring.

