Suppr超能文献

基于介孔 CuO@SiO2/鲁米诺纳米复合材料和离子液体功能化氮化硼量子点共反应物的抗污电化学发光传感器用于超灵敏 NSE 检测。

An antifouling electrochemiluminescence sensor based on mesoporous CuO@SiO/luminol nanocomposite and co-reactant of ionic liquid functionalized boron nitride quantum dots for ultrasensitive NSE detection.

机构信息

College of Chemistry and Molecular Sciences, Wuhan University, Wuhan, 430072, Hubei Province, PR China.

College of Chemistry and Molecular Sciences, Wuhan University, Wuhan, 430072, Hubei Province, PR China.

出版信息

Biosens Bioelectron. 2022 Oct 15;214:114492. doi: 10.1016/j.bios.2022.114492. Epub 2022 Jun 25.

Abstract

A novel electrochemiluminescence (ECL) sensing platform was developed for the detection of neuron-specific enolase (NSE), based on the nanocomposite of mesoporous silica encapsulated CuO nanoparticles and electrostatically attracted luminol. An antifouling membrane of polyvinylidene fluoride modified by polyethyleneimine and dopamine was introduced to improve the immobilization of nanocomposite and the stability of ECL signal; Au nanoparticles were loaded on the membrane surface for binding the antibody. The CuO nanoparticles were capable of supplying HO, while the amino ionic liquid functionalized boron nitride quantum dots as co-reactant of luminol could effectively enhance the ECL signal. The resulting ECL immunosensing platform thus showed excellent performance. Over the concentration range of 5-500 ng/mL, it presented a good linear response; the detection limit was down to 24.5 pg/mL. In addition, it had high selectivity and stability. The sensor has been successfully applied to determine target NSE in human serum samples. This work provides some insights into the further design of high-performance ECL sensors.

摘要

一种新型的基于介孔硅封装的氧化铜纳米粒子和静电吸引的鲁米诺的电化学发光(ECL)传感平台被开发出来,用于检测神经元特异性烯醇化酶(NSE)。通过聚乙烯亚胺和多巴胺修饰的聚偏氟乙烯引入了一种抗污染膜,以提高纳米复合材料的固定化和 ECL 信号的稳定性;在膜表面负载了金纳米粒子用于结合抗体。氧化铜纳米粒子能够提供 HO,而作为鲁米诺的共反应物的氨基离子液体功能化的氮化硼量子点可以有效地增强 ECL 信号。由此产生的 ECL 免疫传感平台因此表现出优异的性能。在 5-500ng/mL 的浓度范围内,它呈现出良好的线性响应;检测限低至 24.5pg/mL。此外,它具有高选择性和稳定性。该传感器已成功应用于测定人血清样品中的目标 NSE。这项工作为进一步设计高性能 ECL 传感器提供了一些思路。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验