Tripartite Detection and Sensing of Toxic Heavy Metals Using a Copper-Based Porphyrin Metal-Organic Framework
Prashanth Kannan1, Ajay Narayan Konda Ravindranath2, Sunil Suresh Domala2
1IITB-Monash Research Academy, IIT Bombay, Mumbai, Maharashtra 400076, India.
ACS Applied Materials & Interfaces
|November 5, 2024
Summary
This study introduces a novel electrochemical sensor using copper (Cu) metal-organic frameworks (MOFs) for detecting lead, cadmium, and mercury in water. The sensor offers high sensitivity and selectivity for crucial environmental and health monitoring.
Area of Science:
- Environmental Science
- Analytical Chemistry
- Materials Science
Background:
- Heavy metal detection in water is vital for environmental and public health.
- Existing electrochemical sensors have limitations like high detection limits and poor selectivity.
Purpose of the Study:
- To develop a sensitive and selective electrochemical sensor for detecting lead (Pb2+), cadmium (Cd2+), and mercury (Hg2+).
- To explore the use of copper (Cu) metal-organic frameworks (MOFs) with replaced Cu metal nodes for heavy metal sensing.
Main Methods:
- Fabrication of a working electrode using copper-tetracarboxyphenylporphyrin (Cu-TCPP) sheets adsorbed on a glassy carbon electrode (GCE).
- Electrochemical detection of heavy metals based on their adsorption and oxidation within the Cu-MOF structure.
- Analysis of oxidation peak currents for quantitative detection and assessment of sensing range and limit of detection (LoD).
Main Results:
- The Cu-TCPP modified GCE demonstrated quantitative detection of Pb2+, Cd2+, and Hg2+.
- Achieved an ultralow LoD of up to 5 nM with a sensing range up to 30 μM.
- Exhibited robust and selective sensing capabilities with minimal error (<10%) in the presence of interfering ions.
Conclusions:
- This work presents the first Cu-TCPP modified GCE anode for sensitive multi-heavy metal detection.
- The study provides insights into the Cu replacement kinetics within the Cu-MOF structure.
- The developed sensor shows significant potential for accurate and reliable heavy metal monitoring in water sources.


