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Published on: January 12, 2019
Visual and fast detection of trace copper ions using biosensor based on FRET
Yaqin Zhao1, Dong Chen1, Jing Yang1
1Key Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education, Institute of Molecular Science, Shanxi University, Taiyuan 030006, China.
A new fluorescence biosensor using CopC protein and dansyl chloride detects copper ions with high sensitivity. This reliable method accurately monitors environmental copper pollution in various water samples.
Area of Science:
- Environmental Science
- Analytical Chemistry
- Biochemistry
Background:
- Copper ion detection is crucial for environmental monitoring.
- Existing methods may lack simplicity, speed, or sensitivity.
- Development of novel biosensors is needed for efficient copper analysis.
Purpose of the Study:
- To construct a simple, rapid, and sensitive fluorescence biosensor for copper ion detection.
- To utilize fluorescence resonance energy transfer (FRET) for selective copper ion sensing.
- To validate the biosensor's performance in real-world environmental samples.
Main Methods:
- A FRET-based biosensor was developed using copper binding protein CopC and dansyl chloride (DNS-Cl).
- DNS-Cl was attached to CopC under alkaline conditions, forming the DNS-Cl/CopC complex.
- Copper ion binding induced a significant decrease in DNS-Cl fluorescence, enabling detection.
Main Results:
- The DNS-Cl/CopC biosensor exhibited good linearity for copper ion detection in the range of 0.04-11μM (R=0.989).
- A low detection limit of 7nM for copper ions was achieved.
- The biosensor successfully detected copper ion levels in purified water, tap water, and industrial wastewater, with results consistent with ICP-MS.
Conclusions:
- The established DNS-Cl/CopC biosensor offers a credible method for sensitive and selective copper ion detection.
- This FRET-based biosensor is a powerful tool for monitoring environmental copper pollution.
- The method demonstrates potential for widespread application in environmental analysis.
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