{"doi":"10.1002/anie.202316766","title":"Discrimination of Disaccharide Isomers of Different Glycosidic Linkages Using a Modified MspA Nanopore","abstract":"<jats:title>Abstract</jats:title><jats:p>Disaccharides are composed of two monosaccharide subunits joined by a glycosidic linkage in an α or β configuration. Different combinations of isomeric monosaccharide subunits and different glycosidic linkages result in different isomeric disaccharide products. Thus, direct discrimination of these disaccharide isomers from a mixture is extremely difficult. In this paper, a hetero‐octameric <jats:italic>Mycobacterium smegmatis</jats:italic> porin A (MspA) nanopore conjugated with a phenylboronic acid (PBA) adapter was applied for disaccharide sensing, with which three most widely known disaccharides in nature, including sucrose, lactose and maltose, were clearly discriminated. Besides, all six isomeric α‐D‐glucopyranosyl‐D‐fructoses, differing only in their glycosidic linkages, were also well resolved. Assisted by a custom machine learning algorithm, a 0.99 discrimination accuracy is achieved. Nanopore discrimination of disaccharide isomers with different glycosidic linkages, which has never been previously demonstrated, is inspiring for nanopore saccharide sequencing. This sensing capacity was also applied in direct identification of isomaltulose additives in a commercial sucrose‐free yogurt, from which isomaltulose, lactose and L‐lactic acid were simultaneously detected.</jats:p>","journal":"Angewandte Chemie International Edition","year":2024,"id":683964,"datarank":0.5709993734655481,"base_score":3.8066624897703196,"endowment":3.8066624897703196,"self_citation_contribution":0.5709993734655481,"citation_network_contribution":0.0,"self_endowment_contribution":0.5709993734655481,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":44,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1786818,"name":"Zhenyuan Cao","orcid":null,"position":1,"is_corresponding":false},{"id":1786820,"name":"Pingping Fan","orcid":null,"position":2,"is_corresponding":false},{"id":900493,"name":"Wen Sun","orcid":"0000-0002-4172-5177","position":3,"is_corresponding":false},{"id":1786821,"name":"Yunqi Xiao","orcid":null,"position":4,"is_corresponding":false},{"id":1749223,"name":"Panke Zhang","orcid":"0000-0001-8562-9972","position":5,"is_corresponding":false},{"id":1098505,"name":"Yuqin Wang","orcid":"0000-0002-2144-0473","position":6,"is_corresponding":false},{"id":279635,"name":"Shuo Huang","orcid":"0000-0003-3055-7427","position":7,"is_corresponding":false},{"id":1194004,"name":"Shanyu Zhang","orcid":"0000-0003-2300-957X","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Discrimination of Disaccharide Isomers of Different Glycosidic Linkages Using a Modified MspA Nanopore","abstract":"<jats:title>Abstract</jats:title><jats:p>Disaccharides are composed of two monosaccharide subunits joined by a glycosidic linkage in an α or β configuration. Different combinations of isomeric monosaccharide subunits and different glycosidic linkages result in different isomeric disaccharide products. Thus, direct discrimination of these disaccharide isomers from a mixture is extremely difficult. In this paper, a hetero‐octameric <jats:italic>Mycobacterium smegmatis</jats:italic> porin A (MspA) nanopore conjugated with a phenylboronic acid (PBA) adapter was applied for disaccharide sensing, with which three most widely known disaccharides in nature, including sucrose, lactose and maltose, were clearly discriminated. Besides, all six isomeric α‐D‐glucopyranosyl‐D‐fructoses, differing only in their glycosidic linkages, were also well resolved. Assisted by a custom machine learning algorithm, a 0.99 discrimination accuracy is achieved. Nanopore discrimination of disaccharide isomers with different glycosidic linkages, which has never been previously demonstrated, is inspiring for nanopore saccharide sequencing. 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