Advances in machine learning-enhanced nanozymes DOI Creative Commons

Yeong-Seo Park,

Byeong Uk Park,

Hee‐Jae Jeon

et al.

Frontiers in Chemistry, Journal Year: 2024, Volume and Issue: 12

Published: Oct. 17, 2024

Nanozymes, synthetic nanomaterials that mimic the catalytic functions of natural enzymes, have emerged as transformative technologies for biosensing, diagnostics, and environmental monitoring. Since their introduction, nanozymes rapidly evolved with significant advancements in design applications, particularly through integration machine learning (ML). Machine (ML) has optimized nanozyme efficiency by predicting ideal size, shape, surface chemistry, reducing experimental time resources. This review explores rapid technology, highlighting role ML improving performance across various bioapplications, including real-time monitoring development chemiluminescent, electrochemical colorimetric sensors. We discuss evolution different types nanozymes, mechanisms, impact on property optimization. Furthermore, this addresses challenges related to data quality, scalability, standardization, while future directions ML-driven development. By examining recent innovations, highlights potential combining drive next-generation diagnostic detection technologies.

Language: Английский

Advancing CO2RR with O-Coordinated Single-Atom Nanozymes: A DFT and Machine Learning Exploration DOI
Hao Sun, Jing‐yao Liu

ACS Catalysis, Journal Year: 2024, Volume and Issue: 14(18), P. 14021 - 14030

Published: Sept. 9, 2024

Language: Английский

Citations

9
Single-atom nanozymes shines diagnostics of gastrointestinal diseases DOI Creative Commons

Sijia Hua,

Xiulin Dong,

Qiuxia Peng

et al.

Journal of Nanobiotechnology, Journal Year: 2024, Volume and Issue: 22(1)

Published: May 25, 2024

Various clinical symptoms of digestive system, such as infectious, inflammatory, and malignant disorders, have a profound impact on the quality life overall health patients. Therefore, chase for more potent medicines is both highly significant urgent. Nanozymes, novel class nanomaterials, amalgamate biological properties nanomaterials with catalytic activity enzymes, been engineered various biomedical applications, including complex gastrointestinal diseases (GI). Particularly, because their distinctive metal coordination structure ability to maximize atom use efficiency, single-atom nanozymes (SAzymes) atomically scattered centers are becoming viable substitute natural enzymes. Traditional nanozyme design strategies no longer able meet current requirements efficient diverse SAzymes due diversification complexity preparation processes. As result, this review emphasizes concept synthesis strategy SAzymes, corresponding bioenzyme-like activities, superoxide dismutase (SOD), peroxidase (POD), oxidase (OXD), catalase (CAT), glutathione (GPx). Then application in GI illnesses summarized, which should encourage further research into achieve better characteristics.

Language: Английский

Citations

4
Applications of machine learning in surfaces and interfaces DOI Open Access
Shaofeng Xu, Jing‐Yuan Wu, Ying Guo

et al.

Chemical Physics Reviews, Journal Year: 2025, Volume and Issue: 6(1)

Published: March 1, 2025

Surfaces and interfaces play key roles in chemical material science. Understanding physical processes at complex surfaces is a challenging task. Machine learning provides powerful tool to help analyze accelerate simulations. This comprehensive review affords an overview of the applications machine study systems materials. We categorize into following broad categories: solid–solid interface, solid–liquid liquid–liquid surface solid, liquid, three-phase interfaces. High-throughput screening, combined first-principles calculations, force field accelerated molecular dynamics simulations are used rational design such as all-solid-state batteries, solar cells, heterogeneous catalysis. detailed information on for

Language: Английский

Citations

0
Advances in machine learning-enhanced nanozymes DOI Creative Commons

Yeong-Seo Park,

Byeong Uk Park,

Hee‐Jae Jeon

et al.

Frontiers in Chemistry, Journal Year: 2024, Volume and Issue: 12

Published: Oct. 17, 2024

Nanozymes, synthetic nanomaterials that mimic the catalytic functions of natural enzymes, have emerged as transformative technologies for biosensing, diagnostics, and environmental monitoring. Since their introduction, nanozymes rapidly evolved with significant advancements in design applications, particularly through integration machine learning (ML). Machine (ML) has optimized nanozyme efficiency by predicting ideal size, shape, surface chemistry, reducing experimental time resources. This review explores rapid technology, highlighting role ML improving performance across various bioapplications, including real-time monitoring development chemiluminescent, electrochemical colorimetric sensors. We discuss evolution different types nanozymes, mechanisms, impact on property optimization. Furthermore, this addresses challenges related to data quality, scalability, standardization, while future directions ML-driven development. By examining recent innovations, highlights potential combining drive next-generation diagnostic detection technologies.

Language: Английский

Citations

2