...
首页> 外文期刊>ACS applied materials & interfaces >Sandwich-Like Sensor for the Highly Specific and Reproducible Detection of Rhodamine 6G on a Surface-Enhanced Raman Scattering Platform
【24h】

Sandwich-Like Sensor for the Highly Specific and Reproducible Detection of Rhodamine 6G on a Surface-Enhanced Raman Scattering Platform

机译:夹心状传感器,用于在表面增强拉曼散射平台上的罗丹明6g的高度具体和可重复的检测

获取原文
获取原文并翻译 | 示例
           

摘要

Nonspecificity and low reproducibility are always the main challenges in surface-enhanced Raman scattering (SERS) detection, especially for testing real samples. In this study, we developed a sandwich-like sensor (AuA-pMIP) to detect rhodamine 6G (R6G) by integrating a porous molecularly imprinted polymer (pMIP) with a well-ordered AuNP array (AuA). To form a uniformly distributed hot spot, AuA was fabricated at an oil-water interface and was subsequently fixed between pMIP and a support slide. Finite-difference time-domain simulation indicated that the enhanced electric field covered a distance of similar to 2 mu m above the AuA, in which the pMIP provided effective mass-transfer channels and sufficient specific binding sites for target molecules. High specificity for AuA-pMIP in R6G detection was demonstrated by comparing the SEAS performance of R6G on AuA-pMIP with that of its structural analogues on the same sensor. Remarkably, the stable sandwich-like structure allowed us to achieve a recyclable SERS sensor with high reproducibility. Finally, AuA-pMIP displayed excellent specificity and sensitivity toward R6G in a test based on a real orange juice sample. This study presents a promising method to achieve real sample testing on a SERS platform.
机译:非特点和低再现性始终是表面增强拉曼散射(SERS)检测中的主要挑战,特别是用于测试真实样本。在这项研究中,我们通过将多孔的分子印迹聚合物(PMIP)与良好有序的AUNP阵列(AUA)集成,开发了一种夹心状传感器(Aua-PMIP)以检测罗丹明6G(R6G)。为了形成均匀分布的热点,在油水界面中制造了Aua,随后在PMIP和支撑载体之间固定。有限差分时域模拟表明,增强电场覆盖了Aua上方2μm的距离,其中PMIP提供了有效的传质通道和靶分子的足够特异的结合位点。通过将R6G对Aua-PMIP上的Aua-pmip上的SEA性能与同一传感器的结构类似物的SEA性能进行比较,证明了R6G检测中的高特异性。值得注意的是,稳定的三明治结构使我们能够实现具有高再现性的可回收SERS传感器。最后,基于真正的橙汁样品,Aua-PMIP对R6G显示出优异的特异性和敏感性。本研究介绍了在SERS平台上实现真实样本测试的有希望的方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号