双功能
化学
锆
吸附
表面增强拉曼光谱
纳米颗粒
拉曼光谱
污染物
金属有机骨架
复矩阵
环境化学
化学工程
纳米技术
色谱法
有机化学
材料科学
拉曼散射
催化作用
工程类
物理
光学
作者
Jie Cheng,Boen Li,Jinghui He,Peilong Wang
出处
期刊:ACS Sensors
[American Chemical Society]
日期:2023-05-15
卷期号:8 (5): 2115-2123
被引量:10
标识
DOI:10.1021/acssensors.3c00639
摘要
The fast and economical detection of trace polychlorinated dibenzo-p-dioxins (PCDDs) in food samples by current mass spectrum-based methods is hindered by tedious sample preparation and bulky & expensive analytical instruments. Surface-enhanced Raman spectroscopy (SERS) successfully detects many organic pollutants in foods but not dioxins because the employed metal nanoparticles weakly adsorb hydrophobic PCDDs. Herein, we report the detection of PCDDs in milk with SERS for the first time using a bifunctional substrate consisting of Au nanoparticles embedded in a zirconium-based metal-organic framework shell (AuNP/Zr-MOF). 2,3,7,8-Tetrachlorodibenzo-p-dioxin (TCDD), as the most toxic PCDD, is detected as low as 1.2 parts per trillion (ppt) in real milk samples with massive interfering substances in 30 min, which is the lowest among all reported methods. The aromatic rings of Zr-MOF promote the smart accumulation of TCDD through π-π interactions, and Au-Cl interactions drive TCDD onto Au surfaces. Zr-MOF shells with pore sizes of 12.7 and 20 Å block the accessibility of larger interfering molecules. A one-step apparatus and protocol are established to be superior to traditional methods in terms of time and cost. This work provides new insight into a rational screening method for the detection of persistent organic pollutants in a real sample matrix.
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