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基于分子印迹的 Ru@SiO 嵌入共价有机框架复合材料用于矢车菊素-3-O-葡萄糖苷的电化学发光检测。

Molecular imprinting-based Ru@SiO-embedded covalent organic frameworks composite for electrochemiluminescence detection of cyanidin-3-O-glucoside.

机构信息

College of Chemistry and Chemical Engineering, Henan University of Technology, Zhengzhou, 450001, China.

College of Chemistry and Chemical Engineering, Henan University of Technology, Zhengzhou, 450001, China.

出版信息

Talanta. 2024 Jul 1;274:125997. doi: 10.1016/j.talanta.2024.125997. Epub 2024 Apr 2.

DOI:10.1016/j.talanta.2024.125997
PMID:38569369
Abstract

Cyanidin-3-O-glucoside (C3G), a natural antioxidant, plays multiple physiological or pathological roles in maintaining human health; thereby, designing advanced sensors to achieve specific recognition and high-sensitivity detection of C3G is significant. Herein, an imprinted-type electrochemiluminescence (ECL) sensing platform was developed using core-shell Ru@SiO-CMIPs, which were prepared by covalent organic framework (COF)-based molecularly imprinted polymers (CMIPs) embedded in luminescent Ru@SiO cores. The C3G-imprinted COF shell not only helps generate a steady-enhanced ECL signal, but also enables specific recognition of C3G. When C3G is bound to Ru@SiO-CMIPs with abundant imprinted cavities, resonance energy transfer (RET) behavior is triggered, resulting in a quenched ECL response. The constructed Ru@SiO-CMIPs nanoprobes exhibit ultra-high sensitivity, absolute specificity, and an ultra-low detection limit (0.15 pg mL) for analyzing C3G in food matrices. This study provides a means to construct an efficient and reliable molecular imprinting-based ECL sensor for food analysis.

摘要

矢车菊素-3-O-葡萄糖苷(C3G)是一种天然抗氧化剂,在维持人体健康方面发挥着多种生理或病理作用;因此,设计先进的传感器来实现 C3G 的特异性识别和高灵敏度检测具有重要意义。在此,通过将基于共价有机骨架(COF)的分子印迹聚合物(CMIPs)嵌入发光 Ru@SiO 核中,制备了核壳型 Ru@SiO-CMIPs,并用其开发了印迹型电化学发光(ECL)传感平台。C3G 印迹的 COF 壳不仅有助于产生稳定增强的 ECL 信号,而且还能够对 C3G 进行特异性识别。当 C3G 与具有丰富印迹腔的 Ru@SiO-CMIPs 结合时,会触发共振能量转移(RET)行为,导致 ECL 响应被猝灭。构建的 Ru@SiO-CMIPs 纳米探针在分析食品基质中的 C3G 时表现出超高的灵敏度、绝对的特异性和超低的检测限(0.15 pg mL)。本研究为构建用于食品分析的高效、可靠的基于分子印迹的 ECL 传感器提供了一种方法。

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