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Machine Learning-Assisted Fe-N-C Single-Atom Nanozyme Rapid Screening Platform for Acetylcholinesterase Inhibitors
Xin Li1, Shengqi Wu2, Shichao Ding3
1CAS Key Laboratory of Chemistry of Northwestern Plant Resources and Key Laboratory for Natural Medicine of Gansu Province, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences, Lanzhou 730000, China.
Analytical Chemistry
|November 11, 2025
Summary
This study presents a novel platform for screening acetylcholinesterase inhibitors (AChEIs) using a single-atom nanozyme biosensor and AI. It offers a portable, instrument-free solution for accurate AChEI detection.
Area of Science:
- Biomaterials Science
- Analytical Chemistry
- Biotechnology
Background:
- Traditional acetylcholinesterase inhibitor (AChEI) screening methods suffer from subjective errors and instrument dependency.
- Developing rapid, accurate, and portable AChEI detection methods is crucial for various applications.
Purpose of the Study:
- To develop a novel, integrated platform for rapid and instrument-free screening of AChEIs.
- To overcome the limitations of traditional colorimetric analysis and instrument reliance in AChEI detection.
Main Methods:
- Integration of a Fe-N-C single-atom nanozyme (SAzyme) biosensor with a portable hydrogel kit and an intelligent analysis platform.
- Utilizing SAzyme's enzyme-like catalytic properties to convert AChE activity changes into colorimetric signals.
- Employing a smartphone application with machine learning for signal processing, interference correction, and quantification.
Main Results:
- The platform demonstrated high stability and accuracy in detecting AChE activity.
- Successfully screened 10 alkaloids, identifying berberine chloride as a potent AChEI with an IC50 of 4.61 μM.
- The integrated system provided a portable, precise, and instrument-free solution for AChEI screening.
Conclusions:
- The developed three-unit integrated system overcomes traditional limitations through synergistic innovation.
- This platform enables efficient and reliable AChEI screening, particularly in resource-limited settings.
- The study highlights the potential of nanozyme biosensors and AI in developing advanced diagnostic tools.
