Thin-Layer Covalent Organic Framework-Coated Gold Superstructures for Label-Free Raman Spectroscopic Monitoring of Multiple Volatile Organic Compounds
Keke Tu, Xuan Xu, Jinxiang Li, Wenlei Zhu, Zixuan Chen
Nanjing University State Key Laboratory of Pollution Control and Resource Reuse
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
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/m 3 for pyridine, 2.08 × 10 –3 μg/m 3 for benzaldehyde, and 2.4 × 10 –3 μg/m 3 for salicylaldehyde, respectively, which were 1 to 2 orders of magnitude lower than those reported in other studies.
逐年被引趋势
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
可就本文提问;依据不足时会说明。
学术脉络
学科主题
材料 / 化学Gold and Silver Nanoparticles Synthesis and Applications
Advanced Nanomaterials in Catalysis · Machine Learning and ELM
参考文献 40
此处列出前 3 条
引用本文 4
按被引量排序,此处列出前 3 条