Grain-like chiral metal-organic framework/multi-walled carbon nanotube composited electrosensing interface for enantiorecognition of Tryptophan

对映体 化学 碳纳米管 色氨酸 电化学 电化学气体传感器 检出限 组合化学 电极 复合数 氨基酸 纳米技术 有机化学 物理化学 材料科学 色谱法 复合材料 生物化学
作者
Xiaofeng Wei,Lishang Li,Huiting Lian,Xuegong Cao,Bin Liu
出处
期刊:Journal of Electroanalytical Chemistry [Elsevier]
卷期号:886: 115108-115108 被引量:33
标识
DOI:10.1016/j.jelechem.2021.115108
摘要

Due to the widespread application of chiral substances in current society, the electrochemical strategy to assemble chiral metal–organic frameworks (CMOFs) as sensors has shown great potential for sensitive enantiorecognition. In this paper, an efficient and highly selective electrochemical sensor was proposed based on multi-walled carbon nanotube (MWCNT) and CMOF, and successfully achieved sensitive chiral recognition of Tryptophan (Trp) enantiomers. Numerous MOFs in multiple synthesis conditions were investigated for a regular process to access the electrochemical chiral recognition. A variety of amino acids were introduced into the MOFs skeleton by a simple hydrothermal method for the enantio-specificity. Meanwhile the MWCNT smoothly integrated with the CMOF to form a functional electrosensing interface with the increase of conductivity. Based on the current ratio (Rcp) of tryptophan enantiomers by different modified electrodes, a series of experimental conditions were optimized for the optimal chiral recognition performance of the CMOF/MWCNT-based sensor, finally reaching 2.9 times of ΔIL/D between enantiomers. In addition, D/l-Trp showed a good linear relationship with the current in the range from 0.4 μM to 19 μM with the detection limit of 0.11 μM for l-Trp and 0.16 μM for d-Trp. The prepared composite-functionalized sensor owned the desired reproducibility and selectivity to identify Tryptophan enantiomers with robust chiral recognition. The research on the structure–activity relationship of chiral MOFs to Tryptophan enantiomers provides a new path to construct more electrochemical sensors for the application of enantiorecognition in pharmaceutical analysis.
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