Glycans, unlike uniformly charged DNA and compositionally diverse peptides, are typically uncharged and exhibit rich stereoisomeric diversity in the glycosidic bonds between two monosaccharide units. This heterogeneity of charge and the structural complexity present significant challenges for accurate analysis. Herein, we developed a novel single-molecule oligosaccharide sensor, OmpF nanopore. The natural electroosmotic flow within OmpF provides robust driving force for unlabeled neutral oligosaccharides, accomplishing a detection concentration as low as 6.4 μM. Furthermore, the asymmetric constriction zone of OmpF was employed to construct a stereoselective recognition site, enabling sensitive identification of glycosidic bond differences in cell lysate samples. Assisted by machine learning algorithms, a recognition accuracy of 99.9% for tetrasaccharides differing in only one glycosidic bond was achieved. This nanopore sensor offers a highly sensitive analytical tool with a broad dynamic range for the chiral recognition of oligosaccharides at low concentrations, applicable to both low-abundance and practical samples.
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