Machine Learning-Enabled Time-Resolved Nanozyme-Encoded Recognition of Endogenous Mercaptans for Disease Diagnosis DOI
Xinyu Chen, Jinjin Liu, Zheng Tang

et al.

Analytical Chemistry, Journal Year: 2025, Volume and Issue: unknown

Published: May 9, 2025

With their important role in regulating intracellular redox balance and maintaining cell homeostasis, endogenous mercaptans are recognized as biomarkers of many diseases clinical practice, thus establishing efficient yet simple methods to distinguish quantify is great significance for health management. Here, we propose a machine learning-enabled time-resolved nanozyme-encoded strategy identify the presence potential interferents disease diagnosis. Diethylenetriaminepenta(methylenephosphonic) acid was first employed coordinate with Mn3+ prepare new amorphous nanozyme, which exhibited excellent oxidase-like activity catalyzing oxidation colorless 3,3',5,5'-tetramethylbenzidine its blue oxide. The addition (cysteine, homocysteine, glutathione) could competitively suppress chromogenic process different extents due discrepant antioxidant abilities, providing specific fingerprints over time each species. this mechanism, sensor array nanozyme sole sensing unit constructed accurately types levels various mixtures help pattern recognition. Furthermore, learning combined construct stepwise prediction model consisting concentration-independent classification concentration-associated regression, not only differentiate cancer cells from normal ones based on glutathione but also evaluate severity cardiovascular according serum showing application

Language: Английский

Integrating AI with detection methods, IoT, and blockchain to achieve food authenticity and traceability from farm-to-table DOI
Zhaolong Liu,

Xin-Lei Yu,

Nan Liu

et al.

Trends in Food Science & Technology, Journal Year: 2025, Volume and Issue: unknown, P. 104925 - 104925

Published: Feb. 1, 2025

Language: Английский

Citations

1
Bioinspired Iron Porphyrin Covalent Organic Frameworks-Based Nanozymes Sensor Array: Machine Learning-Assisted Identification and Detection of Thiols DOI

Cong Hu,

Wenkun Xie, Jin Liu

et al.

ACS Applied Materials & Interfaces, Journal Year: 2024, Volume and Issue: 16(51), P. 71048 - 71059

Published: Dec. 12, 2024

Given the crucial role of thiols in maintaining normal physiological functions, it is essential to establish a high-throughput and sensitive analytical method identify quantify various accurately. Inspired by iron porphyrin active center natural horseradish peroxidase (HRP), we designed synthesized two covalent organic frameworks (Fe-COF-H Fe-COF-OH) with notable peroxidase-like (POD) activity, capable catalyzing 3,3′,5,5′-tetramethylbenzidine (TMB) into oxidized TMB three distinct absorption peaks. Based on these, six-channel nanozyme colorimetric sensor array was constructed, which could map specific fingerprints thiols. Subsequently, machine learning techniques, including supervised linear discriminant analysis (LDA), decision trees (DT) artificial neural networks (ANN), unsupervised hierarchical cluster (HCA), ensemble random forests (RF), were used for precise identification complex systems, detection limit as low 50 nM. Significantly, demonstrated strong potential practical applications, analyzing homocysteine (Hcy) human serum, mercaptoacetic acid (TGA) depilatory creams, glutathione (GSH) cell lysates, thereby showing promise use disease diagnosis.

Language: Английский

Citations

5
A novel method for the rapid determination of phenolic compounds based on the nanozyme with laccase-like activity DOI
Ke Li, Le Wang, Zihan Guo

et al.

Environmental Research, Journal Year: 2025, Volume and Issue: 269, P. 120841 - 120841

Published: Jan. 14, 2025

Language: Английский

Citations

0
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
Machine learning-driven sensor array based on luminescent metal–organic frameworks for simultaneous discrimination of multiple anions DOI

Dali Wei,

Cheng Xu, Ying Wang

et al.

Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: unknown, P. 162796 - 162796

Published: April 1, 2025

Language: Английский

Citations

0
Machine learning assisted nanozyme sensor array for accurate identification and discrimination of flavonoids in healthy tea DOI
Zemin Ren, Qingxu Deng, Yu Wang

et al.

Food Chemistry, Journal Year: 2025, Volume and Issue: 486, P. 144612 - 144612

Published: May 2, 2025

Language: Английский

Citations

0
Smartphone-integrated Nanozyme approaches for rapid and on-site detection: Empowering smart food safety DOI

Flomo Peter Gbonyea,

Jiahang Wu,

Mengru Li

et al.

Food Chemistry, Journal Year: 2025, Volume and Issue: 486, P. 144678 - 144678

Published: May 8, 2025

Language: Английский

Citations

0
Machine Learning-Enabled Time-Resolved Nanozyme-Encoded Recognition of Endogenous Mercaptans for Disease Diagnosis DOI
Xinyu Chen, Jinjin Liu, Zheng Tang

et al.

Analytical Chemistry, Journal Year: 2025, Volume and Issue: unknown

Published: May 9, 2025

With their important role in regulating intracellular redox balance and maintaining cell homeostasis, endogenous mercaptans are recognized as biomarkers of many diseases clinical practice, thus establishing efficient yet simple methods to distinguish quantify is great significance for health management. Here, we propose a machine learning-enabled time-resolved nanozyme-encoded strategy identify the presence potential interferents disease diagnosis. Diethylenetriaminepenta(methylenephosphonic) acid was first employed coordinate with Mn3+ prepare new amorphous nanozyme, which exhibited excellent oxidase-like activity catalyzing oxidation colorless 3,3',5,5'-tetramethylbenzidine its blue oxide. The addition (cysteine, homocysteine, glutathione) could competitively suppress chromogenic process different extents due discrepant antioxidant abilities, providing specific fingerprints over time each species. this mechanism, sensor array nanozyme sole sensing unit constructed accurately types levels various mixtures help pattern recognition. Furthermore, learning combined construct stepwise prediction model consisting concentration-independent classification concentration-associated regression, not only differentiate cancer cells from normal ones based on glutathione but also evaluate severity cardiovascular according serum showing application

Language: Английский

Citations

0