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A Nanopore-Based Saccharide Sensor.

Shanyu Zhang1,2, Zhenyuan Cao1,2, Pingping Fan1,2

  • 1State Key Laboratory of Analytical Chemistry for Life Sciences, School of Chemistry and Chemical Engineering, Nanjing University, 210023, Nanjing, China.

Angewandte Chemie (International Ed. in English)
|June 19, 2022
PubMed
Summary
This summary is machine-generated.

This study demonstrates how engineered nanopores can identify different types of saccharides, even distinguishing between similar structures. A machine learning algorithm achieved high accuracy, paving the way for nanopore saccharide sequencing.

Keywords:
Boronic AcidNanoporesSaccharidesSequencingSingle-Molecule Studies

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Area of Science:

  • Biochemistry
  • Nanotechnology
  • Analytical Chemistry

Background:

  • Saccharides are crucial for cellular functions but difficult to identify due to complex structures.
  • Nanopore technology offers a sensitive method for single-molecule analysis, capable of detecting subtle structural variations.

Purpose of the Study:

  • To engineer a nanopore capable of distinguishing between various saccharide types.
  • To develop a machine learning algorithm for automated saccharide identification using nanopore data.

Main Methods:

  • A hetero-octameric Mycobacterium smegmatis porin A nanopore functionalized with phenylboronic acid was constructed.
  • The nanopore's ability to differentiate nine distinct monosaccharides and epimers was tested.
  • A machine learning algorithm was developed for event classification.

Main Results:

  • The engineered nanopore successfully identified nine types of monosaccharides, including glucose and fructose.
  • The system demonstrated sensitivity to minor structural differences, distinguishing between saccharide epimers.
  • The machine learning algorithm achieved a high accuracy score of 0.96 for automatic event classification.

Conclusions:

  • Engineered nanopores with phenylboronic acid provide a robust platform for saccharide identification.
  • This approach offers a sensitive and accurate method for analyzing complex carbohydrate structures.
  • The developed strategy shows promise for advancing nanopore-based saccharide sequencing and analysis.