Suppr超能文献

ZIF 衍生的 Co 纳米粒子嵌入氮掺杂碳纳米管复合材料中,用于食品中呋喃妥因的高效电化学检测。

ZIF-derived Co nanoparticles embedded into N-doped carbon nanotube composites for highly efficient electrochemical detection of nitrofurantoin in food.

机构信息

College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, PR China.

College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, PR China.

出版信息

Food Chem. 2023 Aug 30;418:135948. doi: 10.1016/j.foodchem.2023.135948. Epub 2023 Mar 15.

Abstract

Designing efficient and sensitive methods for the detection of nitrofurantoin (NFT) residues is of great importance for food safety and environmental protection. Herein, a composite with cobalt nanoparticles encapsulated in nitrogen-doped carbon nanotube (N/Co@CNTs@CC-II) was synthesized by in-situ growth and sublimation-gas phase transformation strategy and used to establish an ultrasensitive electrochemical sensor for NFT determination. The N/Co@CNTs@CC-II sensor exhibits uniform N doping, fine hollow structure, and abundant active metal sites, which lays a solid foundation for the ultra-sensitive detection of NFT. Benefiting from these advantages, the N/Co@CNTs@CC-II exhibits excellent sensitivity (8.19 μA μM cm) and low detection limit (18.41 nM) for NFT detection. The practical feasibility of N/Co@CNTs@CC-II was also demonstrated by the determination of NFT in milk and tap water samples. This study may open up new opportunities for the application of N-doped carbon nanotube materials encapsulating transition metals.

摘要

设计高效、灵敏的检测方法来检测硝基呋喃妥因(NFT)残留对于食品安全和环境保护至关重要。在此,通过原位生长和升华气相转化策略合成了一种钴纳米粒子封装在氮掺杂碳纳米管(N/Co@CNTs@CC-II)中的复合材料,并将其用于建立一种用于 NFT 测定的超灵敏电化学传感器。N/Co@CNTs@CC-II 传感器具有均匀的 N 掺杂、精细的空心结构和丰富的活性金属位,为 NFT 的超灵敏检测奠定了坚实的基础。得益于这些优势,N/Co@CNTs@CC-II 对 NFT 的检测表现出优异的灵敏度(8.19 μA μM cm)和低检测限(18.41 nM)。通过在牛奶和自来水中测定 NFT,也证明了 N/Co@CNTs@CC-II 的实际可行性。本研究可能为封装过渡金属的氮掺杂碳纳米管材料的应用开辟新的机会。

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