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Nanozymes with Modulable Inhibition Transfer Pathways for Thiol and Cell Identification
Lijun Hu1, Lei Jiao1, Chengjie Chen1
1Institute of Molecular Metrology, College of Chemistry and Chemical Engineering, Qingdao University, Qingdao 266071, P. R. China.
Researchers developed advanced nanozymes with single Cu-N sites and B-O binding sites for precise inhibition studies. These nanozymes enable atomic-level control, enhancing peroxidase-like activity and enabling sensitive detection of cancer cells and thiols.
Area of Science:
- Materials Science
- Nanotechnology
- Biochemistry
Background:
- Nanozyme-based inhibition reactions require clearer mechanisms and site studies.
- Advanced nanozymes are needed to understand inhibition effects at the atomic level.
Purpose of the Study:
- To develop novel nanozymes with tunable inhibition properties for mechanistic studies.
- To investigate the role of specific catalytic and binding sites in nanozyme activity.
- To create a sensor array for detecting cancer cells and thiols.
Main Methods:
- Synthesized nanozymes with single Cu-N catalytic sites and B-O binding sites on a porous nitrogen-doped carbon substrate (B6/CuSA).
- Investigated electron redistribution and its effect on peroxidase-like activity.
- Studied cysteine binding and inhibition mechanisms (competitive and noncompetitive).
- Developed a multichannel sensor array for cell and thiol detection.
Main Results:
- B6/CuSA exhibited enhanced peroxidase-like activity compared to CuSA due to B-O site incorporation.
- CuSA showed competitive inhibition of cysteine via coordination bonds (Ki = 0.048 mM).
- B6/CuSA demonstrated mixed inhibition of cysteine with competitive (Ki = 0.054 mM) and noncompetitive (Ki = 0.71 mM) interactions.
- The sensor array successfully detected various cancer cells, normal cells, and thiols.
Conclusions:
- The developed nanozymes provide atomic-level control over inhibition transfer.
- The study elucidates the inhibition mechanisms of nanozymes with specific catalytic and binding sites.
- This work offers a framework for evaluating thiols, discriminating cells, and predicting diseases.
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