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Nanozymes: Classification and Analytical Applications - A Review.
Kurdo A Abdullah1, Tara F Tahir2, Aryan F Qader3
1Department of Chemistry, Faculty of Science and Health, Koya University, Danielle Mitterrand Boulevard, Koya KOY45, Kurdistan Region - F.R., Iraq.
Journal of Fluorescence
|September 13, 2024
Summary
Nanozymes, synthetic enzymes with enzyme-like actions, offer advantages over natural enzymes. These nanomaterials are crucial for developing advanced biosensors and enabling early disease diagnosis, like COVID-19 detection.
Area of Science:
- Nanomaterials Science
- Biochemistry
- Analytical Chemistry
Background:
- Nanozymes are a novel class of nanomaterials exhibiting enzyme-like catalytic activity.
- They possess advantages over natural enzymes, including lower cost, enhanced stability, and ease of handling.
- This makes them highly significant and promising for various applications.
Purpose of the Study:
- To review the distinctions between synthetic nanozymes and natural enzymes.
- To explore the structures and analytical applications of nanozymes.
- To highlight the potential of nanozymes in biosensing and disease diagnostics.
Main Methods:
- Focus on carbon-based nanozymes (e.g., carbon and hydrogen) and metal-based nanozymes (e.g., Fe, Cu, Au) and their oxides.
- Investigate the use of nanozymes in molecularly imprinted polymers (MIPs) and bio-recognition ligands for biosensors.
- Discuss analytical applications, including colorimetric and fluorometric detection methods.
Main Results:
- Nanozymes demonstrate superior selectivity and sensitivity in analytical chemistry applications compared to traditional methods.
- Peroxidase-like nanozymes are effective in developing adaptable biosensors.
- Carbon-based and metal-based nanozymes show broad applicability across various fields.
Conclusions:
- Nanozymes represent a significant advancement over natural enzymes, offering practical benefits.
- They are pivotal in analytical chemistry for sensing and detection.
- Nanozymes are crucial tools for the early diagnosis of diseases, including COVID-19.
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