A dansyl based fluorescence chemosensor for Hg(2+) and its application in the complicated environment samples
Shuai Zhou1, Ze-Quan Zhou1, Xuan-Xuan Zhao1
1Institute of Organic Chemistry, School of Chemistry and Chemical Engineering, Shandong University, Jinan 250100, PR China.
Summary
A new fluorescent chemosensor, DAM, detects mercury ions (Hg2+) with high sensitivity and selectivity. This sensor shows rapid response and anti-interference capabilities, making it suitable for environmental sample analysis.
Area of Science:
- Analytical Chemistry
- Environmental Science
- Materials Science
Background:
- Mercury ions (Hg2+) pose significant environmental and health risks.
- Development of selective and sensitive detection methods for Hg2+ is crucial.
- Fluorescent chemosensors offer advantages in sensitivity and real-time monitoring.
Purpose of the Study:
- To develop a novel fluorescent chemosensor for mercury ion detection.
- To evaluate the selectivity, sensitivity, and response time of the developed sensor.
- To assess the sensor's applicability in complex environmental samples.
Main Methods:
- Synthesis of a novel fluorescent chemosensor (DAM) incorporating dansyl and morpholine units.
- Fluorescence spectroscopy was used to monitor the interaction between DAM and Hg2+.
- Experiments were conducted in a HEPES buffer/MeCN mixture at room temperature.
Main Results:
- The developed chemosensor (DAM) exhibited excellent selectivity and sensitivity towards Hg2+.
- Fluorescence quenching of DAM was observed in the presence of Hg2+, with a fast response time.
- DAM demonstrated strong anti-interference capabilities against common interfering ions.
- Successful detection of Hg2+ in Yellow River water samples was achieved.
Conclusions:
- The novel fluorescent chemosensor DAM is highly effective for selective and sensitive detection of Hg2+.
- DAM shows promising potential for real-world applications in monitoring mercury contamination in environmental samples.
- The sensor's performance highlights its utility in complex matrices and challenging detection scenarios.
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