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Highly sensitive electrochemical sensor for lead ions based on Bi-MOF/conducting polymer composites
Saleem Ullah Saleem1, Zhibin Pang1, Yanhua Liu1
1Frontiers Science Center for Deep Ocean Multispheres and Earth System, and Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Ocean University of China, Qingdao, 266100, China.
Chemosphere
|December 26, 2024
Summary
Researchers developed a new sensor using conductive polyaniline (PANI) and bismuth metal-organic frameworks (Bi-MOF) to detect lead ions in water. This PANI@Bi-MOF composite sensor offers a sensitive and reliable method for environmental monitoring.
Area of Science:
- Materials Science
- Electrochemistry
- Environmental Science
Background:
- Bismuth-based metal-organic frameworks (Bi-MOF) offer unique properties for material applications.
- Conductive polymers like polyaniline (PANI) are valuable for electrochemical sensing.
- Developing sensitive methods for detecting heavy metal ions in water is crucial.
Purpose of the Study:
- To synthesize conductive PANI@Bi-MOF composites.
- To develop a sensitive electrochemical sensor for lead ion (Pb2+) detection.
- To evaluate the sensor's performance in real water samples.
Main Methods:
- Chemical polymerization of PANI onto Bi-MOF.
- Characterization using FT-IR, PXRD, SEM, TEM, and EDAX.
- Electrochemical sensing using cyclic voltammetry (CV), electrochemical impedance spectroscopy (EIS), and differential pulse anodic stripping voltammetry (DPASV).
Main Results:
- Successful synthesis of uniformly coated PANI@Bi-MOF composites.
- The sensor exhibited a low detection limit (0.0108 μg/L) and a wide linear range (0.025-20 μg/L) for Pb2+.
- The sensor demonstrated high selectivity and was successfully applied to real water samples.
Conclusions:
- PANI@Bi-MOF composites provide a promising platform for electrochemical sensing.
- The developed sensor is effective for sensitive and selective detection of lead ions in water.
- This approach offers a feasible solution for environmental water quality monitoring.
