College of Chemistry and Chemical Engineerging, China West Normal University, Nanchong, Sichuan 637002, China.
Yangtze Delta Region Institute, University of Electronic Science and Technology of China, Huzhou, Zhejiang 313099, China.
Comput Intell Neurosci. 2022 Feb 2;2022:8330702. doi: 10.1155/2022/8330702. eCollection 2022.
Cycloaromatic hydrocarbons are a type of potentially hazardous chemicals that are widely present in the environment and pose a serious threat to human health. However, the traditional research methods for their detection process are cumbersome, the detection cycle is long, and the sensitivity is low. In response to the above problems, this article combines the molecular fingerprint information characteristics of surface-enhanced Raman scattering technology to simulate the four polycyclic aromatic hydrocarbons of pyrene, anthracene, phenanthrene, and trichenium and quantitative detection of cyclic aromatic hydrocarbons and four kinds of polycyclic aromatic hydrocarbon mixtures. The experimental results show that the PAHs based on SERS have the advantages of higher sensitivity and high selectivity, which verifies the accuracy and feasibility of the method in this article.
环芳烃是一类潜在的危险化学品，广泛存在于环境中，对人类健康构成严重威胁。然而，传统的检测过程研究方法繁琐，检测周期长，灵敏度低。针对上述问题，本文结合表面增强拉曼散射技术的分子指纹信息特征，模拟芘、蒽、菲和三苯并芘四种多环芳烃，并对环状芳烃和四种多环芳烃混合物进行定量检测。实验结果表明，基于 SERS 的 PAHs 具有更高的灵敏度和高选择性的优点，验证了本文方法的准确性和可行性。
