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Nanopore Identification of Alditol Epimers and Their Application in Rapid Analysis of Alditol-Containing Drinks and Healthcare Products
Journal of the American Chemical Society ( IF 14.4 ) Pub Date : 2022-07-22 , DOI: 10.1021/jacs.2c04595
Yao Liu 1, 2 , Shanyu Zhang 1, 2 , Yuqin Wang 1, 2 , Liying Wang 1, 2 , Zhenyuan Cao 1, 2 , Wen Sun 1, 2 , Pingping Fan 1, 2 , Panke Zhang 1 , Hong-Yuan Chen 1 , Shuo Huang 1, 2
Affiliation  

Alditols, which have a sweet taste but produce much lower calories than natural sugars, are widely used as artificial sweeteners. Alditols are the reduced forms of monosaccharide aldoses, and different alditols are diastereomers or epimers of each other and direct and rapid identification by conventional methods is difficult. Nanopores, which are emerging single-molecule sensors with exceptional resolution when engineered appropriately, are useful for the recognition of diastereomers and epimers. In this work, direct distinguishing of alditols corresponding to all 15 monosaccharide aldoses was achieved by a boronic acid-appended hetero-octameric Mycobacterium smegmatis porin A (MspA) nanopore (MspA-PBA). Thirteen alditols including glycerol, erythritol, threitol, adonitol, arabitol, xylitol, mannitol, sorbitol, allitol, dulcitol, iditol, talitol, and gulitol (l-sorbitol) could be fully distinguished, and their sensing features constitute a complete nanopore alditol database. To automate event classification, a custom machine-learning algorithm was developed and delivered a 99.9% validation accuracy. This strategy was also used to identify alditol components in commercially available “zero-sugar” drinks and healthcare products, suggesting their use in rapid and sensitive quality control for the food and medical industry.

中文翻译:

糖醇差向异构体的纳米孔鉴定及其在含糖醇饮料和保健品快速分析中的应用

糖醇具有甜味,但产生的热量比天然糖低得多,被广泛用作人造甜味剂。糖醇是单糖醛糖的还原形式,不同的糖醇互为非对映异构体或差向异构体,常规方法难以直接快速鉴定。纳米孔是新兴的单分子传感器,在设计得当时具有出色的分辨率,可用于识别非对映异构体和差向异构体。在这项工作中,通过硼酸附加的异八聚体耻垢分枝杆菌直接区分对应于所有 15 种单糖醛糖的糖醇孔蛋白 A (MspA) 纳米孔 (MspA-PBA)。可以完全区分包括甘油、赤藓糖醇、苏糖醇、阿东糖醇、阿糖醇、木糖醇、甘露糖醇、山梨糖醇、蒜糖醇、dulcitol、艾杜糖醇、塔利糖醇和gulitol( l-山梨糖醇)在内的13种糖醇,它们的传感特征构成了完整的纳米孔糖醇数据库。为了自动化事件分类,开发了一种定制的机器学习算法,并提供了 99.9% 的验证准确度。该策略还用于鉴定市售“零糖”饮料和保健产品中的糖醇成分,表明它们可用于食品和医疗行业的快速和灵敏的质量控制。
更新日期:2022-07-22
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