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Flexible, transparent and highly sensitive SERS substrates with cross-nanoporous structures for fast on-site detection†
Nanoscale ( IF 6.7 ) Pub Date : 2018-05-09 00:00:00 , DOI: 10.1039/c8nr01628c
Yingcheng Wang 1, 2, 3, 4, 5 , Yuanhao Jin 1, 2, 3, 4, 5 , Xiaoyang Xiao 1, 2, 3, 4, 5 , Tianfu Zhang 1, 2, 3, 4, 5 , Haitao Yang 1, 2, 3, 4, 5 , Yudan Zhao 1, 2, 3, 4, 5 , Jiaping Wang 1, 2, 3, 4, 5 , Kaili Jiang 1, 2, 3, 4, 5 , Shoushan Fan 1, 2, 3, 4, 5 , Qunqing Li 1, 2, 3, 4, 5
Affiliation  

A flexible and transparent film assembled from the cross-nanoporous structures of Au on PET (CNS of Au@PET) is developed as a versatile and effective SERS substrate for rapid, on-site trace analysis with high sensitivity. The fabrication of the CNS of Au can be achieved on a large scale at low cost by employing an etching process with super-aligned carbon nanotubes as a mask, followed by metal deposition. A strongly enhanced Raman signal with good uniformity can be obtained, which is attributed to the excitation of “hot spots” around the metal nanogaps and sharp edges. Using the CNS of Au@PET film as a SERS platform, real-time and on-site SERS detection of the food contaminant crystal violet (CV) is achieved, with a detection limit of CV solution on a tomato skin of 10−7 M. Owing to its ability to efficiently extract trace analytes, the resulting substrate also achieves detection of 4-ATP contaminants and thiram pesticides by swabbing the skin of an apple. A SERS detection signal for 4-ATP has a relative standard deviation of less than 10%, revealing the excellent reproducibility of the substrate. The flexible, transparent and highly sensitive substrates fabricated using this simple and cost-effective strategy are promising for practical application in rapid, on-site SERS-based detection.

中文翻译:

具有交叉纳孔结构的柔性,透明和高度敏感的SERS底物,可用于快速现场检测

由Au在PET上的交叉纳米孔结构组装而成的柔性透明薄膜(Au @ PET的CNS)被开发为一种多功能,有效的SERS基底,可用于快速,现场痕量分析,具有很高的灵敏度。通过采用以超取向碳纳米管为掩模的蚀刻工艺,然后进行金属沉积,可以低成本大规模地实现Au的CNS的制造。可以获得具有良好均匀性的强烈增强的拉曼信号,这归因于金属纳米间隙和锋利边缘周围的“热点”的激发。使用Au @ PET薄膜的CNS作为SERS平台,可以实现食品污染物结晶紫(CV)的实时和现场SERS检测,番茄皮上的CV溶液检测限为10 -7M.由于其有效提取痕量分析物的能力,所得的底物还可以通过擦拭苹果皮来检测4-ATP污染物和thiram农药。4-ATP的SERS检测信号的相对标准偏差小于10%,显示了底物的出色重现性。使用这种简单且具有成本效益的策略制造的柔性,透明和高度敏感的基材有望在基于SERS的快速现场检测中得到实际应用。
更新日期:2018-05-09
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