4.6 Article

Highly sensitive AuNSs@AgNR SERS substrates for rapid determination of aromatic amines

期刊

ANALYST
卷 148, 期 4, 页码 814-822

出版社

ROYAL SOC CHEMISTRY
DOI: 10.1039/d2an01817a

关键词

-

向作者/读者索取更多资源

The leakage of aromatic amines is a serious threat to human health and the environment, calling for rapid and highly sensitive detection methods. In this study, a simple surface-enhanced Raman scattering (SERS) method using gold nanostars-modified silver nanorods was developed to detect benzidine and 4-aminobiphenyl (4-ABP). The method showed high enhancement factors for rhodamine 6G (R6G) and crystal violet (CV) and achieved low detection limits. Moreover, the SERS method allowed high-sensitivity detection of benzidine and 4-ABP in river water samples within 3 minutes, making it a portable platform for on-site environmental pollutant detection.
The leakage of aromatic amines will pose a great threat to human health and the ecological environment. Therefore, there is an urgent need to achieve rapid and high-sensitivity detection of such substances. In this study, a simple surface-enhanced Raman scattering (SERS) method based on gold nanostars-modified silver nanorods (AuNSs@AgNRs) was established for the detection of benzidine and 4-aminobiphenyl (4-ABP). The enhancement factors of the substrate towards rhodamine 6G (R6G) and crystal violet (CV) were 4.67 x 10(8) and 1.11 x 10(8), respectively. Combined with density functional theory (DFT), the AuNSs@AgNR substrate achieved the rapid detection of benzidine and 4-ABP and obtained low detection limits (LODbenzidine = 7.09 x 10(-9) M; LOD4-ABP = 1.20 x 10(-9) M). Furthermore, the AuNSs@AgNR substrate can realize the high-sensitivity detection of benzidine and 4-ABP in the spiked river water samples within 3 min, which means that the AuNSs@AgNR-based SERS method can be used as a portable platform to realize the on-site rapid detection of environmental pollutants.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据