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Single-Molecule Sensing of Acidic Catecholamine Metabolites Using a Programmable Nanopore
Chemistry - A European Journal ( IF 3.9 ) Pub Date : 2022-05-20 , DOI: 10.1002/chem.202201033
Chengzhen Hu 1, 2 , Wendong Jia 1, 2 , Yao Liu 1, 2 , Yuqin Wang 1, 2 , Panke Zhang 1 , Hong-Yuan Chen 1 , Shuo Huang 1, 2
Affiliation  

Three acidic catecholamine metabolites, including 3,4-dihydroxymandelic acid (DHMA), 3-methoxy-4-hydroxymandetic acid (VMA) and 3,4-dihydroxyphenylacetic acid (DOPAC) were investigated by PNRSS. DHMA, which contains an α-hydroxycarboxylate moiety (red shade, marked as 1) and an adjacent cis-hydroxyl groups on the benzene ring (blue shade, marked as 2), reports two binding modes (PBA-1 and PBA-2) simultaneously resolvable by PNRSS, demonstrating a high resolution of PNRSS. A custom machine learning algorithm was also developed to achieve automatic event classification.

中文翻译:

使用可编程纳米孔对酸性儿茶酚胺代谢物进行单分子传感

PNRSS 研究了三种酸性儿茶酚胺代谢物,包括 3,4-二羟基扁桃酸 (DHMA)、3-甲氧基-4-羟基扁桃酸 (VMA) 和 3,4-二羟基苯乙酸 (DOPAC)。DHMA 含有一个 α-羟基羧酸酯部分(红色阴影,标记为 1)和苯环上的相邻顺式羟基(蓝色阴影,标记为 2),报告了两种结合模式(PBA-1 和 PBA-2)同时可被 PNRSS 解析,证明了 PNRSS 的高分辨率。还开发了一种自定义机器学习算法来实现自动事件分类。
更新日期:2022-05-20
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