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基于β-环糊精和亚甲基蓝/还原氧化石墨烯界面的多层结构在玻碳电极上对羧酸的电化学识别

Electrochemical recognition for carboxylic acids based on multilayer architectures of β-cyclodextrin and methylene blue/reduce-graphene interface on glassy carbon electrodes.

机构信息

Key Laboratory on Luminescence and Real-Time Analysis, Ministry of Education, College of Chemistry and Chemical Engineering, Southwest University, Chongqing 400715, PR China.

出版信息

Analyst. 2013 Apr 7;138(7):2051-6. doi: 10.1039/c3an36461e. Epub 2013 Feb 8.

DOI:10.1039/c3an36461e
PMID:23392452
Abstract

A chiral interface has been designed for specific recognition of carboxylic acids using multilayer architectures of β-cyclodextrin (β-CD) and methylene blue/reduce-graphene (MB@rGO) on glassy carbon electrodes. The advantages of β-CD as a chiral selector and MB@rGO composite as an electrochemical indicator were perfectly presented in this novel interface. It displayed good redox signal for sensing chiral target with high sensitivity and conductivity. Enormous signal differences were obtained after adsorption of target L isomer, due to strong blocking of the electron transfer process of methylene blue. Meanwhile mandelic acid was found to be the best chiral guest and obtained more effective chiral recognition.

摘要

一个手性界面已经被设计出来,用于使用玻碳电极上的β-环糊精(β-CD)和亚甲基蓝/还原氧化石墨烯(MB@rGO)的多层结构来特异性识别羧酸。β-CD 作为手性选择器和 MB@rGO 复合材料作为电化学指示剂的优势在这个新型界面中得到了完美呈现。它对具有高灵敏度和导电性的手性目标显示出良好的氧化还原信号。由于亚甲基蓝的电子转移过程被强烈阻断,在吸附手性目标 L 异构体后,获得了巨大的信号差异。同时,扁桃酸被发现是最佳的手性客体,并获得了更有效的手性识别。

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