欢迎加盟云师大能源与环境科学学 ...分享 http://blog.sciencenet.cn/u/jinhejiang 崇山峻岭中的一滴露珠

博文

云师大化学化工学院龚行教授在《Chemical Engineering Journal》上发表最新研究成果

已有 1141 次阅读 2024-1-22 17:30 |个人分类:云师大研究|系统分类:论文交流

2024年1月20日,Elsevier 旗下top期刊《Chemical Engineering Journal》在线发表了云南师范大学化学化工学院龚行教授课题组最新研究成果《Self-service multimodal detection of subtype influenza A virus H5N1 by visual portable molecular imprinting sensor》。云南师范大学化学化工学院龚行教授为第一兼通讯作者。

微信截图_20240122173147.png

Abstract

At present, the ability to identify subtypes of influenza A virus (IAV) with high similarity in morphology, size, and surface structure is suffered from significant challenges. In this study, we report on the development of a portable, multi-color, colorimetric molecular imprinting polymer (MIP)-based sensor that can specifically identify H5N1. To construct this sensor, using H5N1 as a template, the MIPs was obtained on the Fe3O4@ quantum dots (QDs) prepared in advance. Then, the Fe3+@PDA∼ Apt probe, which was designed for specificity for H5N1, was prepared by modifying the H5N1 ∼ Apt on the surface of the pre-prepared Fe3+-embedded dopamine nanoparticles. A sandwich structure would be formed via the specific combination of MIPs, H5N1 and Fe3+@PDA ∼ Apt. During detection, the fluorescence of QDs quenched, achieving the first detection mode of viruses through the change of fluorescence intensity. Subsequently, Fe3+ in the solution was released, K4[Fe(CN)6] and K3[Fe(CN)6] were added to achieve a multi-color colorimetric detection sensor visible to the naked eyes. The third detection mode can be achieved by detecting the absorbance of the solution by ultraviolet–visible. The sensor was capable of differentiating the target H5N1 virus from other IAV subtypes with high specificity and sensitivity (LOD = 11.6 fM), and the detection of the virus could be enabled by fluorescence spectroscopy, UV–vis spectrophotometry, and colorimetric indication three modes, to provide a reliable point-of-care detection method for ensuring the accurate treatment of patients with H5N1 infection. Importantly, the MIP-based sensor could conveniently achieve the self-service detection at a cost of only RMB in 0.28 yuan.

1-s2.0-S1385894724004315-ga1_lrg.jpg



https://blog.sciencenet.cn/blog-454141-1418945.html

上一篇:这是中华始莱德利基虫
下一篇:云师大信息学院张云港副教授在国际著名期刊《Pattern Recognition》发表最新研究成果
收藏 IP: 183.224.91.*| 热度|

1 郑永军

该博文允许注册用户评论 请点击登录 评论 (0 个评论)

数据加载中...

Archiver|手机版|科学网 ( 京ICP备07017567号-12 )

GMT+8, 2024-12-22 02:52

Powered by ScienceNet.cn

Copyright © 2007- 中国科学报社

返回顶部