Suppr超能文献

基于中空金纳米粒子的硅壳封装的高灵敏度 SERS 免疫分析法用于检测黄曲霉毒素 B1。

Highly sensitive SERS-based immunoassay of aflatoxin B1 using silica-encapsulated hollow gold nanoparticles.

机构信息

Department of Bionano Technology, Hanyang University, Ansan 426791, South Korea.

Department of Electronics and Communication Engineering, Hanyang University, Ansan 426791, South Korea.

出版信息

J Hazard Mater. 2015 Mar 21;285:11-7. doi: 10.1016/j.jhazmat.2014.11.018. Epub 2014 Nov 17.

Abstract

Aflatoxin B1 (AFB1) is a well-known carcinogenic contaminant in foods. It is classified as an extremely hazardous compound because of its potential toxicity to the human nervous system. AFB1 has also been extensively used as a biochemical marker to evaluate the degree of food spoilage. In this study, a novel surface-enhanced Raman scattering (SERS)-based immunoassay platform using silica-encapsulated hollow gold nanoparticles (SEHGNs) and magnetic beads was developed for highly sensitive detection of AFB1. SEHGNs were used as highly stable SERS-encoding nano tags, and magnetic beads were used as supporting substrates for the high-density loading of immunocomplexes. Quantitative analysis of AFB1 was performed by monitoring the intensity change of the characteristic peaks of Raman reporter molecules. The limit of detection (LOD) of AFB1, determined by this SERS-based immunoassay, was determined to be 0.1 ng/mL. This method has some advantages over other analytical methods with respect to rapid analysis (less than 30 min), good selectivity, and reproducibility. The proposed method is expected to be a new analytical tool for the trace analysis of various mycotoxins.

摘要

黄曲霉毒素 B1(AFB1)是食品中一种众所周知的致癌污染物。由于其对人类神经系统的潜在毒性,它被归类为极危险的化合物。AFB1 也被广泛用作评估食品变质程度的生化标志物。在这项研究中,开发了一种使用硅封装空心金纳米粒子(SEHGNs)和磁性珠的新型基于表面增强拉曼散射(SERS)的免疫分析平台,用于高度灵敏地检测 AFB1。SEHGNs 被用作高度稳定的 SERS 编码纳米标签,磁性珠被用作免疫复合物高密度负载的支撑基底。通过监测拉曼报告分子特征峰的强度变化来进行 AFB1 的定量分析。通过这种基于 SERS 的免疫分析确定的 AFB1 的检测限(LOD)为 0.1 ng/mL。与其他分析方法相比,该方法在快速分析(少于 30 分钟)、良好的选择性和重现性方面具有一些优势。该方法有望成为痕量分析各种真菌毒素的新分析工具。

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