• 文献标题:   Exploring quantification in a mixture using graphene-based surface-enhanced Raman spectroscopy
  • 文献类型:   Article
  • 作  者:   TIAN HH, ZHANG N, ZHANG J, TONG LM
  • 作者关键词:   graphene, surfaceenhanced raman scattering, quantitative analysi, internal standard, complex system
  • 出版物名称:   APPLIED MATERIALS TODAY
  • ISSN:   2352-9407
  • 通讯作者地址:   Peking Univ
  • 被引频次:   3
  • DOI:   10.1016/j.apmt.2019.01.008
  • 出版年:   2019

▎ 摘  要

Quantitative analysis is a demanding challenge for surface-enhanced Raman scattering (SERS). A number of methods have been developed using different SERS-active substrates for quantitative detection of certain species. However, for a target analyte that is mixed with other molecules, the competitive adsorption of other molecules on the SERS substrate becomes the major disturbance to quantitative analysis or even qualitative detection. Whether it is possible to quantitatively detect a single analyte in a mixture of molecules using SERS has remained unclear. In this work, we explored the possibility of quantitative detection of multiple analytes by using graphene-based SERS (G-SERS). Graphene provides an atomically flat surface for homogeneous adsorption of molecules, and its own Raman scattering intensity can serve as internal standard in SERS for quantitative analysis. Our results show that the adsorption constants, the concentration and the Raman scattering cross sections of competing species are the most important factors to be considered. The findings could be helpful for quantitative analysis of target analyte in practical complex systems. (C) 2019 Elsevier Ltd. All rights reserved.