Suppr超能文献

基于银包覆金核壳的超灵敏肿瘤坏死因子 α 检测及磁分离 SERS 适体传感器的识别

Ultra-sensitive detection of tumor necrosis factor alpha based on silver-coated gold core shell and magnetically separated recognition of SERS aptamer sensors.

机构信息

College of Chemistry and Materials Science, Fujian Provincial Key Laboratory of Advanced Oriented Chemical Engineer, Fujian Key Laboratory of Polymer Materials, Engineering Research Center of Industrial Biocatalysis, Fujian Province Higher Education Institutes, Fujian Normal University, Fuzhou, 350007, Fujian, China.

出版信息

Mikrochim Acta. 2023 Dec 19;191(1):41. doi: 10.1007/s00604-023-06049-7.

Abstract

A highly sensitive tumor necrosis factor α (TNF-α) detection method based on a surface-enhanced Raman scattering (SERS) magnetic patch sensor is reported. Magnetic beads (MNPs) and core shells were used as the capture matrix and signaling probe, respectively. For this purpose, antibodies were immobilized on the surface of magnetic beads, and then Au@4-MBN@Ag core-shell structures coupled with aptamers and TNF-α antigen were added sequentially to form a sandwich immune complex. Quantitative analysis was performed by monitoring changes in the characteristic SERS signal intensity of the Raman reporter molecule 4-MBN. The results showed that the limit of detection (LOD) of the proposed method was 4.37 × 10 mg·mL with good linearity (R = 0.9918) over the concentration range 10 to 10 mg·mL. Excellent assay accuracy was also demonstrated, with recoveries in the range 102% to 114%. Since all reactions occur in solution and are separated by magnetic adsorption of magnetic beads, this SERS-based immunoassay technique solves the kinetic problems of limited diffusion and difficult separation on solid substrates. The method is therefore expected to be a good clinical tool for the diagnosis of the inflammatory biomarker THF-α and in vivo inflammation screening.

摘要

一种基于表面增强拉曼散射(SERS)磁片传感器的高灵敏肿瘤坏死因子 α(TNF-α)检测方法被报道。磁性珠(MNPs)和核壳分别用作捕获基质和信号探针。为此,将抗体固定在磁性珠的表面上,然后依次添加带有适体和 TNF-α 抗原的 Au@4-MBN@Ag 核壳结构,形成三明治免疫复合物。通过监测拉曼报告分子 4-MBN 的特征 SERS 信号强度的变化进行定量分析。结果表明,该方法的检测限(LOD)为 4.37×10 mg·mL,在 10 至 10 mg·mL 的浓度范围内具有良好的线性(R = 0.9918)。该方法还表现出优异的分析准确性,回收率在 102%至 114%范围内。由于所有反应都在溶液中发生,并且通过磁性珠的磁吸附分离,这种基于 SERS 的免疫分析技术解决了在固体底物上扩散受限和分离困难的动力学问题。因此,该方法有望成为炎症生物标志物 TNF-α的诊断和体内炎症筛选的良好临床工具。

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