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A highly sensitive and selective hybrid of molecularly imprinted poly(9H-carbazole-9-ethanamine) and porous CoZn-NC polyhedral nanocages for electrochemical detection of uric acid in plasma sample
Chemical Engineering Journal ( IF 13.3 ) Pub Date : 2023-12-11 , DOI: 10.1016/j.cej.2023.148015
Zhuangzhuang Qu , Zijiing Xu , Yunfei Shen , Xinxiao Ma , Na Liu , Yonglun Zhang , Weilu Liu

A novel monomer, 9H-carbazole-9-ethanamine, was prepared in this study to prepare a molecularly imprinted polymer (MIP) on porous Co/Zn embedded N-doped carbon (CoZn-NC) material for the purpose of detecting uric acid (UA). The electro-polymerization of the carbazole derivatives obtained by introducing an amino group onto the rigid structure of the carbazole conjugate led to the creation of a polymer with a significant number of amino groups. This increased the number of binding sites available for the UA template and enhanced the selectivity of the sensor. Additionally, porous CoZn-NC polyhedral nanocages were used as the substrate material for the MIP sensor, which enhanced the sensing performance through a highly conductive sensing interface and an efficient UA catalytic capacity. The preparation conditions for the MIP@CoZn-NC were optimized to achieve high sensitivity in the detection of UA using differential pulse voltammetry (DPV). The detection range of UA is 1 to 300 μM using this method, and it exhibits good selectivity for compounds with similar structures. The developed sensor was successfully used to detect UA in rat plasma, with a recovery rate of 91.8% to 103.7%, demonstrating its potential for biomedical applications.

中文翻译:


分子印迹聚(9H-咔唑-9-乙胺)和多孔CoZn-NC多面体纳米笼的高灵敏度和选择性杂化物,用于电化学检测血浆样品中的尿酸



本研究制备了一种新型单体9H-咔唑-9-乙胺,在多孔Co/Zn嵌入N掺杂碳(CoZn-NC)材料上制备分子印迹聚合物(MIP),用于检测尿酸( UA)。通过将氨基引入咔唑缀合物的刚性结构而获得的咔唑衍生物的电聚合导致产生具有大量氨基的聚合物。这增加了 UA 模板可用的结合位点数量,并增强了传感器的选择性。此外,多孔CoZn-NC多面体纳米笼被用作MIP传感器的基底材料,通过高导电传感界面和高效的UA催化能力增强了传感性能。对 MIP@CoZn-NC 的制备条件进行了优化,以实现使用差分脉冲伏安法 (DPV) 检测 UA 的高灵敏度。该方法对UA的检测范围为1~300 μM,对结构相似的化合物表现出良好的选择性。所开发的传感器成功用于检测大鼠血浆中的UA,回收率为91.8%至103.7%,展示了其生物医学应用的潜力。
更新日期:2023-12-11
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