New Frontiers in Polyphenol Analysis: A Review of Electrochemical Sensors and Commercial Devices Enhancing Food and Beverage Analysis DOI
Ayyappa Bathinapatla, M.‐F. Manuel,

Iqbal Pakrudheen

et al.

Journal of Food Composition and Analysis, Journal Year: 2024, Volume and Issue: unknown, P. 107161 - 107161

Published: Dec. 1, 2024

Language: Английский

Advancing tea detection with artificial intelligence: strategies, progress, and future prospects DOI

Qilin Xu,

Yifeng Zhou, Linlin Wu

et al.

Trends in Food Science & Technology, Journal Year: 2024, Volume and Issue: unknown, P. 104731 - 104731

Published: Sept. 1, 2024

Language: Английский

Citations

9
Advances in total antioxidant capacity detection based on nanozyme DOI

Jiaoyuan Fang,

Yun Wang, Yihan Jiang

et al.

Talanta, Journal Year: 2025, Volume and Issue: 292, P. 127941 - 127941

Published: March 13, 2025

Language: Английский

Citations

1
Machine Learning-Based Nanozyme Sensor Array as an Electronic Tongue for the Discrimination of Endogenous Phenolic Compounds in Food DOI

Wenjie Jing,

Yajun Yang,

Qihao Shi

et al.

Analytical Chemistry, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 26, 2024

The detection of endogenous phenolic compounds (EPs) in food is great significance elucidating their bioactivity and health effects. Here, a novel bifunctional vanillic acid-Cu (VA-Cu) nanozyme with peroxidase-like laccase-like activities was successfully prepared. peroxidase mimic behavior VA-Cu can catalyze 3,3',5,5'-tetramethylbenzidine (TMB) to generate oxidized TMB (oxTMB). Owing the high reducing power EPs, this process be inhibited, degree inhibition increases increase reaction time. Additionally, owing outstanding laccase VA-Cu, it facilitate oxidation various resulting formation colored quinone imines, catalysis Based on interesting experimental phenomena mentioned above, six-channel sensor array (2 enzyme-mimic × 3 time points = 6 sensing channels) constructed, achieving discriminant analysis nine EPs. In addition, combination artificial neural network (ANN) algorithms arrays has achieved accurate identification prediction EPs black tea, honey, grape juice. Finally, portable method for identifying been proposed by combining smartphone.

Language: Английский

Citations

6
Enzyme-inspired nanosensing of food antioxidants: From targeted quantification to system-level analysis DOI
Lunjie Huang, Xinyuan Zhao, Jianlong Wang

et al.

Trends in Food Science & Technology, Journal Year: 2025, Volume and Issue: unknown, P. 105004 - 105004

Published: April 1, 2025

Language: Английский

Citations

0
Unveiling a novel nanozyme cofactor: a highly activated Fe-CDs-derived colorimetric sensor array for comprehensive authentication of diverse tea products DOI

Yanying Zheng,

Wenju Yan,

Nan‐Sheng Li

et al.

Biosensors and Bioelectronics, Journal Year: 2025, Volume and Issue: 282, P. 117510 - 117510

Published: April 24, 2025

Language: Английский

Citations

0
The Preparation of Arac-Cu Nanozyme Hydrogel with Polyphenol Oxidase-like Activity for the Rapid Detection of Tea Polyphenol DOI
Jie Li,

Zhichun Bi,

Yu Ma

et al.

Journal of Food Composition and Analysis, Journal Year: 2025, Volume and Issue: unknown, P. 107690 - 107690

Published: April 1, 2025

Language: Английский

Citations

0
Emerging trends, and prospects in Nanozyme engineering to enhance dual-mode sensing applications DOI

Ragini Singh,

Ayush Sharma,

Oindrila Bainik

et al.

Coordination Chemistry Reviews, Journal Year: 2025, Volume and Issue: 540, P. 216768 - 216768

Published: May 9, 2025

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
Fast, sensitive, and sustainable colorimetric detection of chlorogenic acid in artichoke waste material DOI Creative Commons
Doretta Cuffaro, Pasquale Palladino, Maria Digiacomo

et al.

Food Chemistry, Journal Year: 2024, Volume and Issue: 463, P. 141505 - 141505

Published: Oct. 3, 2024

Language: Английский

Citations

1
Classification of green tea and quantitative prediction of catechin content based on indicator displacement array sensors DOI

Qilin Xu,

Xianggang Yin,

Xinyi Huo

et al.

Microchemical Journal, Journal Year: 2024, Volume and Issue: 207, P. 111810 - 111810

Published: Oct. 9, 2024

Language: Английский

Citations

0