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设计和制造 Zn@ZnO@Ag 芯片,用于液态奶、鱼类和动物饲料中诺氟沙星的喇曼散射分析。

Design and fabrication of Zn@ZnO@Ag chip for Raman scattering analysis of norfloxacin in liquid milk, fish and animal feeds.

机构信息

Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Key Laboratory of Biomaterials and Biofabrication in Tissue Engineering of Jiangxi Province, Key Laboratory of Biomedical Sensors of Ganzhou, Scientific Research Center, Gannan Medical University, Ganzhou 341000, China; School of Chemistry, Sun Yat-sen University, Guangzhou 510275, China.

Faculty of Food Science and Engineering, Kunming University of Science and Technology, Kunming 650500, China.

出版信息

Food Chem. 2023 Dec 15;429:136928. doi: 10.1016/j.foodchem.2023.136928. Epub 2023 Jul 17.

Abstract

A novel and easy-to-prepare plasmonic nanoparticles doped semiconductor substrate-Zn@ZnO@Ag chip with ultra-high surface-enhanced Raman scattering (SERS) activity was fabricated for label-free, rapid and sensitive analysis of norfloxacin. The Zn@ZnO array was synthesized by surface oxidation at low temperature, followed by in-situ reduction to form leaf-like AgNPs on Zn@ZnO array without extra reducing agent, thus fabricating a Zn@ZnO@Ag chip. The ultra-high SERS activity is attributed to the synergistic effect of semiconductor characteristics of ZnO and surface plasmon resonance properties of leaf-like AgNPs. The possible enhancement mechanism was verified by density functional theory simulations. The proposed SERS method showed a wide linear range (3.0-500.0 μg/L) and low limit of detection (0.8 μg/L) for norfloxacin analysis. High sensitivity, good selectivity and acceptable recoveries (82.7-113.6%) in real sample analysis were obtained. This study offers a promising SERS chip-based platform for norfloxacin detection in the field.

摘要

一种新颖且易于制备的等离子体纳米粒子掺杂半导体基底-Zn@ZnO@Ag 芯片,具有超高的表面增强拉曼散射(SERS)活性,可用于诺氟沙星的无标记、快速和灵敏分析。通过低温表面氧化合成 Zn@ZnO 阵列,然后无需额外还原剂原位还原形成 Zn@ZnO 阵列上的叶状 AgNPs,从而制备出 Zn@ZnO@Ag 芯片。超高的 SERS 活性归因于 ZnO 的半导体特性和叶状 AgNPs 的表面等离子体共振特性的协同作用。通过密度泛函理论模拟验证了可能的增强机制。所提出的 SERS 方法在诺氟沙星分析中表现出宽的线性范围(3.0-500.0μg/L)和低的检测限(0.8μg/L)。在实际样品分析中获得了高灵敏度、良好的选择性和可接受的回收率(82.7-113.6%)。这项研究为现场诺氟沙星检测提供了一种有前途的基于 SERS 芯片的平台。

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