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基于氮化钛还原氧化石墨烯复合材料和核壳分子印迹粒子的高灵敏度电化学 BPA 传感器。

Highly sensitive electrochemical BPA sensor based on titanium nitride-reduced graphene oxide composite and core-shell molecular imprinting particles.

机构信息

School of the Environment and Safety Engineering, Jiangsu University, Zhenjiang, 212013, China.

Zhenjiang Agricultural Products Quality Inspection and Testing Center, Zhenjiang, 212003, China.

出版信息

Anal Bioanal Chem. 2021 Feb;413(4):1081-1090. doi: 10.1007/s00216-020-03069-7. Epub 2020 Nov 28.

Abstract

A sensitive electrochemical sensor was proposed via combining molecular imprinting technique with the graphene material-doped titanium nitride. The novel graphene with 3-dimensional structure displayed more binding sites and better electrochemical properties. Moreover, this study focused on coating pyrrole with electrical conductivity on the surface of silica as a monomer, and BPA as the template. The interaction made specific detection possible, between monomer and template. With a series of characterizations and electrochemical measurements, CPE (carbon paste electrode)-contained TiN-rGO composite was proved to have conductivity improved. Also, the modified polymer performed well selectivity which reflected in that it was almost impervious to distractions. Under optimized conditions, a linear dependence was observed from 0.5 to 100 nmol L with a detection limit of 0.19 nmol L. The sensor explicated outstanding repeatability via repetitive experiment with the RSD of 0.02%, while the results of stability experiment reached the RSD of 1.90%. Eventually, it was used to analyze BPA residues in 3 kinds of daily supplies. The results indicated the potential of the sensor in environmental detection prospectively.

摘要

通过将分子印迹技术与掺杂石墨烯的氮化钛材料相结合,提出了一种灵敏的电化学传感器。具有 3 维结构的新型石墨烯显示出更多的结合位点和更好的电化学性能。此外,本研究专注于在二氧化硅表面涂覆具有导电性的吡咯作为单体,以双酚 A 作为模板。这种相互作用使得单体和模板之间能够进行特异性检测。通过一系列的表征和电化学测量,证明含有 TiN-rGO 复合材料的 CPE(碳糊电极)具有改善的导电性。此外,修饰后的聚合物表现出良好的选择性,几乎不受干扰。在优化条件下,从 0.5 到 100nmol/L 呈现线性关系,检测限为 0.19nmol/L。该传感器通过重复实验表现出出色的重复性,其 RSD 为 0.02%,而稳定性实验的结果达到了 1.90%。最终,该传感器被用于分析 3 种日常用品中的双酚 A 残留。结果表明,该传感器在环境检测方面具有广阔的应用前景。

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