Suppr超能文献

用于检测谷物中百草枯的灵敏稳定表面增强拉曼散射传感的金属有机框架(MOF)修饰金纳米粒子阵列的制备

Fabrication of a metal organic framework (MOF)-modified Au nanoparticle array for sensitive and stable SERS sensing of paraquat in cereals.

机构信息

College of Food Science and Engineering/Collaborative Innovation Center for Modern Grain Circulation and Safety/Key Laboratory of Grains and Oils Quality Control and Processing, Nanjing University of Finance and Economics, Nanjing, China.

Hanzhong Food and Drug Inspection and Testing Center, Hanzhong, China.

出版信息

J Food Sci. 2023 Apr;88(4):1769-1780. doi: 10.1111/1750-3841.16530. Epub 2023 Mar 14.

Abstract

A high-performance Au@MIL-101/PMMA/DT surface-enhanced Raman scattering (SERS) substrate was fabricated for sensitive and stable detection of paraquat by self-assembling metal organic framework-modified Au nanoparticles (Au@MIL-101) on a poly(methyl methacrylate) (PMMA) film and then immobilizing the formed substrate onto a duct tape (DT). The highly closely packed Au@MIL-101 array provided intensive hotspots for SERS sensing. The MIL-101 layer modified on the surface of Au nanoparticles could absorb paraquat to the electromagnetic enhancement area of Au nanoparticles. The DT on the bottom made the substrate smoother, which is beneficial for achieving a more stable detection performance. As a result, the constructed substrate exhibited outstanding uniformity with relative standard deviations of 9.47% and storage stability for 2 months. For detecting paraquat, the substrate showed a low detection limit of 7.1 × 10  M (1.83 µg/kg) and wide linear range from 10 to 10  M. Furthermore, the substrate showed good detection performance in real cereal samples with desirable recovery rates from 91.57% to 102.32%.

摘要

一种高性能的 Au@MIL-101/PMMA/DT 表面增强拉曼散射 (SERS) 基底,通过自组装金属有机骨架修饰的 Au 纳米粒子 (Au@MIL-101) 在聚甲基丙烯酸甲酯 (PMMA) 薄膜上,并将形成的基底固定在电工胶带 (DT) 上,用于灵敏和稳定地检测百草枯。高度紧密堆积的 Au@MIL-101 阵列为 SERS 传感提供了密集的热点。修饰在 Au 纳米粒子表面的 MIL-101 层可以将百草枯吸附到 Au 纳米粒子的电磁增强区域。底部的 DT 使基底更光滑,有利于实现更稳定的检测性能。因此,构建的基底表现出出色的均匀性,相对标准偏差为 9.47%,储存稳定性为 2 个月。用于检测百草枯,该基底表现出低检测限为 7.1×10 -7 M(1.83 µg/kg)和从 10 到 10 -6 M 的宽线性范围。此外,该基底在实际谷物样品中表现出良好的检测性能,回收率从 91.57%到 102.32%。

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