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Identification of Isomerically Diverse Ginsenosides Using Engineered Aerolysin Nanopore via Non-Translocation
Jing Wang1,2, Minmin Li3, Chen Zhang4
1Key Laboratory of Phytochemistry and Natural Medicines, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, P.R. China.
Angewandte Chemie (International Ed. in English)
|June 2, 2025
Summary
This study introduces a novel non-translocation nanopore sensing method using engineered aerolysin to identify complex ginsenosides. This approach enhances molecular characterization and overcomes limitations of traditional translocation-based sensing.
Area of Science:
- Biophysics
- Analytical Chemistry
- Glycoscience
Background:
- Traditional nanopore sensing relies on analyte translocation, which often leads to low signal precision and resolution.
- Distinguishing structurally similar molecules, like diverse ginsenosides, remains a significant challenge in current sensing technologies.
Purpose of the Study:
- To develop a non-translocation blockade sensing strategy for the precise identification of isomerically diverse ginsenosides.
- To engineer aerolysin protein for enhanced molecular trapping and characterization.
Main Methods:
- Engineered aerolysin S278K with a positively charged interior to create electro-osmotic flow and steric/enthalpic barriers.
- Utilized non-translocation blockade sensing to trap ginsenosides, prolonging residence time.
- Integrated deep learning for quantitative analysis of complex ginsenosides in real samples.
Main Results:
- Achieved a 43-fold increase in ginsenoside residence time within the nanopore.
- Successfully identified 30 distinct ginsenosides based on variations in glycosyl composition, isomerism, modification, and aglycone.
- Demonstrated quantitative analysis of complex ginsenoside mixtures from real samples.
Conclusions:
- Non-translocation nanopore sensing offers a promising alternative for analyzing structurally complex and diverse small molecules.
- Engineered aerolysin provides enhanced capabilities for detailed molecular characterization, advancing glycoscience research.
- This method significantly improves the detection and differentiation of challenging analyte pools.
Keywords:
Aerolysin nanoporeDeep learningElectroosmotic flowGinsenosidesNon‐translocation blockade sensingMore Related Videos
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