A novel method for quality evaluation of Radix Angelica sinensis based on molecularly imprinted electrochemical sensor

被引:0
|
作者
Wu, Di [1 ]
Che, Yanyun [2 ]
Li, Yanping [3 ]
Suo, Ziqin [1 ]
Zhang, Jingbo [1 ]
Zhou, Yunxian [1 ]
Zeng, Yingying [1 ]
Wang, Xinyue [1 ]
Gao, Xuemin [1 ]
Chen, Qing [1 ]
Chen, Quancheng [1 ]
机构
[1] Xiamen Univ, Sch Pharmaceut Sci, Fujian Prov Key Lab Innovat Drug Target Res, Xiamen 361102, Peoples R China
[2] Yunnan Univ Chinese Med, China Engn Res Ctr Homol Med & Food Beverage Yunna, Kunming 650500, Peoples R China
[3] Xiamen Univ, Affiliated Hosp 1, Sch Med, Dept Pharm, Xiamen 361000, Peoples R China
关键词
Radix Angelica sinensis; Quality evaluation; N-butylidenephthalide; Molecularly imprinted polymers; Electropolymerization; Electrochemical sensor; IDENTIFICATION;
D O I
10.1016/j.talanta.2024.127115
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Rapid and sensitive detection of n-butylidenephthalide (NBP) is crucial for quality control of Radix Angelica Sinensis (RAS) and its related pharmaceuticals due to their shared pharmacological effects, such as immune enhancement and anti-tumor properties. Current detection methods struggle to quantify NBP quickly and accurately. A molecularly imprinted polymer (MIP)-based electrochemical sensor has been developed, forming a film on PCN-222(Fe) via electropolymerization for the rapid and selective detection of NBP. o-Phenylenediamine (o-PD) was polymerized onto PCN-222(Fe), utilizing its high surface area and porous structure to create a highperformance MIP (MIP/PCN-222(Fe)) sensor. This sensor detects NBP binding at the molecularly imprinted sites through a redox probe, with current changes reflecting the NBP content in the sample. This sensor exhibits a strong affinity for NBP, with a linear detection range from 200 nM to 1 mM, a detection limit of 76 nM, and high specificity towards similar phthalide compounds. Experimental results show that the MIP/PCN-222(Fe) sensor can accurately quantify NBP in real samples, offering a simplified method with promising applications for RAS quality evaluation.
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页数:9
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