Biological and Medical Applications of Materials and Interfaces
- Jianyu Huang
Jianyu Huang
School of Materials Science and Engineering, Shandong University of Technology, Zibo 255000, China
More by Jianyu Huang
- Xiaowei Li*
Xiaowei Li
School of Materials Science and Engineering, Shandong University of Technology, Zibo 255000, China
National United Engineering Laboratory for Biomedical Material Modification, Shandong Branden Medical Devices Co., Ltd., Dezhou 251100, China
Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai 200092, China
*Email: [emailprotected]
More by Xiaowei Li
- Xiuling Li
Xiuling Li
School of Materials Science and Engineering, Shandong University of Technology, Zibo 255000, China
More by Xiuling Li
- Longjie Zhang
Longjie Zhang
School of Materials Science and Engineering, Shandong University of Technology, Zibo 255000, China
More by Longjie Zhang
- Yingqian Chu
Yingqian Chu
School of Materials Science and Engineering, Shandong University of Technology, Zibo 255000, China
More by Yingqian Chu
- Enxiang Jiao*
Enxiang Jiao
School of Materials Science and Engineering, Shandong University of Technology, Zibo 255000, China
*Email: [emailprotected]
More by Enxiang Jiao
- Guangwu Wen
Guangwu Wen
School of Materials Science and Engineering, Shandong University of Technology, Zibo 255000, China
More by Guangwu Wen
- Zhihui Niu*
Zhihui Niu
School of Physics and Optoelectronic Engineering, Shandong University of Technology, Zibo 255000, China
*Email: [emailprotected]
More by Zhihui Niu
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ACS Applied Materials & Interfaces
Cite this: ACS Appl. Mater. Interfaces 2025, XXXX, XXX, XXX-XXX
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https://pubs.acs.org/doi/10.1021/acsami.4c22645
Published April 24, 2025
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Abstract
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Functional nanoparticle-mediated enzymatic sensors have been extensively utilized in the colorimetric detection of biomolecules. However, low affinity toward substrates and unstable color development of oxidized substrates severely influence the detection period and reliability of results. Herein, a rapid and reliable method has been proposed by employing manganese silicate NPs (MSs) as the paradigm for enzymatic colorimetric detection of uric acid (UA). MSs demonstrate favorable catalytic kinetics (Km = 0.046 mM). Compared with reported methods, the shortened detection period and ultralong enzymatic curve platform (∼8 min) ensure higher rapidity and reliability. Theoretical calculations based on density functional theory were further utilized to reveal the catalytic mechanism of the MSs oxidase mimic. The inherent ability to spontaneously generate ROS along with its proximity effect resulting from substrate adsorption provides robust theoretical support for ultrafast catalytic kinetics. Moreover, silicate ions reduced the degree of electron delocalization in oxidized TMB with increasing molecular polarity and decreased the solvation free energy to further improve the dissolution stability. As expected, the MSs-based method exhibits excellent accuracy and higher stability in monitoring UA change of human urine specimens, which is superior to the commercial kit. Furthermore, the integration of colorimetric methodologies with portable smart detection systems bridges fundamental scientific exploration and practical implementation, enabling both a reduced detection cost and expanded applicability of nanozyme-based sensors.
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© 2025 American Chemical Society
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- Absorption
- Colorimetry
- Peptides and proteins
- Stability
- Transition metals
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ACS Applied Materials & Interfaces
Cite this: ACS Appl. Mater. Interfaces 2025, XXXX, XXX, XXX-XXX
Click to copy citationCitation copied!
Published April 24, 2025
Publication History
Received
Accepted
Revised
Published
online
© 2025 American Chemical Society
Request reuse permissions
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