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纳米孔鉴定差向醇表异构体及其在含差向醇饮料和保健品快速分析中的应用。

Nanopore Identification of Alditol Epimers and Their Application in Rapid Analysis of Alditol-Containing Drinks and Healthcare Products.

机构信息

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

Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, Nanjing 210023, China.

出版信息

J Am Chem Soc. 2022 Aug 3;144(30):13717-13728. doi: 10.1021/jacs.2c04595. Epub 2022 Jul 22.

Abstract

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 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.

摘要

糖醇具有甜味,但产生的热量比天然糖低得多,因此被广泛用作人工甜味剂。糖醇是单糖醛糖的还原形式,不同的糖醇彼此是差向异构体或表异构体,用常规方法直接和快速鉴定比较困难。纳米孔是一种新兴的单分子传感器,在适当设计时具有出色的分辨率,可用于识别差向异构体和表异构体。在这项工作中,通过硼酸修饰的杂八聚体孔蛋白 A (MspA) 纳米孔 (MspA-PBA) 实现了对所有 15 种单糖醛糖对应的糖醇的直接区分。可以完全区分 13 种糖醇,包括甘油、赤藓糖醇、苏糖醇、山梨糖醇、阿拉伯糖醇、木糖醇、甘露醇、山梨醇、肌醇、麦芽糖醇、异麦芽酮糖醇、卫矛醇和古洛糖醇(l-山梨糖醇),并且它们的传感特征构成了完整的纳米孔糖醇数据库。为了实现事件分类的自动化,开发了一个定制的机器学习算法,验证准确率达到 99.9%。该策略还用于识别市售“无糖”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敏感质量控制。

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