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用于曲面抗生素检测的柔性且经济高效的3D纳米菜花状表面增强拉曼散射基底。

Flexible, and cost-effective 3D nano-cauliflower SERS substrate for antibiotics detection on curved surfaces.

作者信息

Atta Supriya, Zhao Yuanhao, Sanchez Sebastian, Vo-Dinh Tuan

机构信息

Fitzpatrick Institute for Photonics, Duke University, Durham, NC, 27708, USA.

Department of Biomedical Engineering, Duke University, Durham, NC, 27708, USA.

出版信息

Mikrochim Acta. 2025 Jul 26;192(8):524. doi: 10.1007/s00604-025-07370-z.

Abstract

A simple, sensitive, and cost-effective SERS substrate preparation method is introduced, leveraging plasmonics-active gold nanostars (GNS) on commercially available hydrophobic adhesive tape to create a 3D plasmonic nano-cauliflower (PNC) architecture. Using the optimized SERS-active PNC substrate (PNC-5), we achieved ultra-low detection limits of 3.3 nM for ciprofloxacin (CIP) and 1.5 nM for ampicillin (AMP) antibiotics. Our PNC platform exhibits exceptional stability for over six months and outstanding reproducibility with an RSD of less than 5%. Moreover, the PNC platform enables direct detection of CIP and AMP on chicken wing surfaces without any sample pre-treatment. These features underscore its great potential for rapid, on-site food safety and homeland security monitoring.

摘要

介绍了一种简单、灵敏且经济高效的表面增强拉曼光谱(SERS)基底制备方法,该方法利用市售疏水胶带上的等离子体活性金纳米星(GNS)构建三维等离子体纳米菜花(PNC)结构。使用优化后的具有SERS活性的PNC基底(PNC - 5),我们实现了对环丙沙星(CIP)3.3 nM和氨苄青霉素(AMP)1.5 nM的超低检测限。我们的PNC平台在六个月以上表现出卓越的稳定性,并且具有小于5%的相对标准偏差(RSD)的出色重现性。此外,PNC平台无需任何样品预处理即可直接检测鸡翅表面的CIP和AMP。这些特性突出了其在快速、现场食品安全和国土安全监测方面的巨大潜力。

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