Related Experiment Video
Updated: Dec 8, 2025

09:30
Bacterial Detection & Identification Using Electrochemical Sensors
Published on: April 23, 2013
28.8K
Click chemistry as a tool in biosensing systems for sensitive copper detection
Monika Tarnowska1, Tomasz Krawczyk1
1Department of Chemical Organic Technology and Petrochemistry, Silesian University of Technology, Krzywoustego 4, 44-100 Gliwice, Poland.
Biosensors & Bioelectronics
|September 22, 2020
Summary
This review covers copper detection methods using copper(I)-catalyzed azide/alkyne cycloaddition (CuAAC). It details electrochemical, visual, and fluorescence techniques for analyzing copper in various samples.
Area of Science:
- Analytical Chemistry
- Biochemistry
- Materials Science
Background:
- Copper is a vital trace metal with significant biological roles.
- Copper detection is crucial for diagnostics and environmental monitoring.
- Utilizing copper's catalytic ability offers a convenient sensing strategy.
Purpose of the Study:
- To review methods for copper determination using copper(I)-catalyzed azide/alkyne cycloaddition (CuAAC).
- To cover contributions to CuAAC-based copper sensing from 2006 to mid-2020.
- To categorize and discuss the advantages and disadvantages of different sensing approaches.
Main Methods:
- Summarizes electrochemical, visual, and fluorescence-based detection methods.
- Discusses methodologies for copper determination in water and biological samples.
- Highlights the use of DNA chains and enzymes in sensing systems.
Main Results:
- Covers a wide range of copper detection limits (0.38 aM–20 μM), with typical values of 1–10 nM.
- Discusses methods applicable to diverse sample types, including environmental and biological matrices.
- Identifies DNA and enzyme-based strategies as particularly successful.
Conclusions:
- CuAAC offers versatile platforms for sensitive copper detection.
- The reviewed methods enable copper analysis with minimal complex instrumentation.
- Further development in DNA and enzyme-based sensors promises enhanced diagnostic capabilities.
Keywords:
BiosensorsClick chemistryColorimetric detectionCopper(II) ionsElectrochemical detectionFluorescence detection
