化学
拉曼光谱
苯甲醛
基质(水族馆)
图层(电子)
分析化学(期刊)
吡啶
苯
纳米技术
指纹(计算)
信号(编程语言)
薄膜
有机化学
色谱法
光学
物理
材料科学
海洋学
计算机安全
地质学
催化作用
程序设计语言
计算机科学
作者
Keke Tu,Xuan Xu,Jinxiang Li,Wenlei Zhu,Zixuan Chen
标识
DOI:10.1021/acs.analchem.5c01650
摘要
The detection of multiple volatile organic compounds (VOCs) encountered challenges such as sample complexity, signal reproducibility, sensitivity limitations, and interference resistance. Here, we prepared thin-layer COF-coated gold superstructures (GSP@COF) to capture and identify the fingerprint spectrum of the VOCs. The GSP@COF substrate ensured an even distribution of SERS hotspots, boosted signal intensity, and prevented nanoparticle aggregation, resulting in consistent and reliable analytical results, with less than 5% spatial variations in signal intensity. The substrate's low background signal and improved sensing capabilities allowed for clear detection of benzene ring conjugation peaks and subtle variations in Raman shifts for benzaldehyde, salicylaldehyde, pyridine, and other molecules. It demonstrated high anti-interference properties, with clear differentiation among various components observed through PCA analysis (PC1 + PC2 = 90.1%). Furthermore, the subsequent analysis revealed detection limits of 9.83 × 10-3 μg/m3 for pyridine, 2.08 × 10-3 μg/m3 for benzaldehyde, and 2.4 × 10-3 μg/m3 for salicylaldehyde, respectively, which were 1 to 2 orders of magnitude lower than those reported in other studies.
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