Suppr超能文献

基于多壁碳纳米管-氧化锌纳米纤维的柔性电阻型生物传感器用于疟疾生物标志物检测。

A multi-walled carbon nanotube-zinc oxide nanofiber based flexible chemiresistive biosensor for malaria biomarker detection.

机构信息

Department of Electrical Engineering, Indian Institute of Technology, Hyderabad, Telangana-502285, India.

School of Medicine, University of California Davis, USA.

出版信息

Analyst. 2017 Jun 21;142(12):2128-2135. doi: 10.1039/c7an00243b. Epub 2017 May 18.

Abstract

We report the fabrication of a flexible, lightweight and disposable multi walled carbon nanotube (MWCNT)-zinc oxide (ZnO) nanofiber based chemiresistive biosensor for label free detection of the malaria biomarker, histidine rich protein II (HRP2). The sensing platform is formed by depositing nanofibers in between the source and drain electrodes patterned on a thin, flexible polyethylene terephthalate (PET) substrate. MWCNT-ZnO nanofibers are synthesized via the electrospinning technique followed by a calcination process. This approach creates functional groups on the nanofiber surface that are used for the one step immobilization of HRP2 antibodies without further surface modification. The device exhibits a good sensitivity of 8.29 kΩ g mL and a wide detection range of 10 fg mL-10 ng mL, and it is specific towards the targeted HRP2 biomarker. To the best of our knowledge, this is the first report on a flexible chemiresistive biosensor explored for the detection of the malaria biomarker and can be extended in the future to several other biomarker detection systems towards smart point-of-care (POC) diagnostics.

摘要

我们报告了一种灵活、轻巧且一次性的多壁碳纳米管(MWCNT)-氧化锌(ZnO)纳米纤维基于电阻化学的生物传感器的制造,用于无标记检测疟疾生物标志物——富含组氨酸蛋白 II(HRP2)。传感平台是通过在薄而灵活的聚对苯二甲酸乙二醇酯(PET)基板上图案化的源极和漏极之间沉积纳米纤维形成的。MWCNT-ZnO 纳米纤维是通过静电纺丝技术合成的,然后进行煅烧处理。这种方法在纳米纤维表面创建了功能基团,可用于 HRP2 抗体的一步固定化,而无需进一步的表面修饰。该器件表现出良好的灵敏度为 8.29 kΩ g mL 和较宽的检测范围为 10 fg mL-10 ng mL,并且对目标 HRP2 生物标志物具有特异性。据我们所知,这是第一个针对疟疾生物标志物检测探索的柔性电阻化学生物传感器的报告,并且将来可以扩展到其他几个生物标志物检测系统,以实现智能即时诊断(POC)。

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