4.7 Article

Fabrication of novel compound SERS substrates composed of silver nanoparticles and porous gold nanoclusters: A study on enrichment detection of urea

期刊

APPLIED SURFACE SCIENCE
卷 427, 期 -, 页码 328-333

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.apsusc.2017.08.230

关键词

SERS; Porous Au nanoparticle; Ag-Au compound substrate; Urea detection; Biosensor

资金

  1. Natural Science Foundation of China [21103062, 21273091, 21221063, 21327803, 41472024, 21411140235]
  2. Korean Federation of Science and Technology Societies (KOFST) - Korean government (MSIP: Ministry of Science, ICT and Future Planning)
  3. Postdoctoral Science Foundation of China [2014M561286]
  4. Special Funds of State Key Laboratories

向作者/读者索取更多资源

A new type of surface-enhanced Raman scattering (SERS) substrate was fabricated through the layer-by-layer self-assembly of silver nanoparticles (AgNPs, av. 45 nm in diameter) and porous gold nanoclusters/nanoparticles (AuNPs, av. 143 nm in diameter). The development of the porosity of the AuNPs was investigated, and successful SERS applications of the porous AuNPs were also examined. As compared with AgNP films, the enhancement factor of Ag-Au compound substrates is increased 6 times at the concentration of 10(-6) M. This additional enhancement contributes to the trace-amount-detection of target molecules enormously. The contribution is generated through the increase of the usable surface area arising from the nanoscale pores distributed three-dimensionally in the porous AuNPs, which enrich the adsorption sites and hot spots for the adsorption of probe molecules, making the developed nanofilms highly sensitive SERS substrates. The substrates were used for the detection of a physiological metabolite of urea molecules. The results reached to a very low concentration of 1 mM and exhibited good quantitative character over the physiological concentration range (1 similar to 20 mM) under mimicking biophysical conditions. These results show that the prepared substrate has great potential in the ultrasensitive SERS-based detection and in SERS-based biosensors. (C) 2017 Elsevier B.V. All rights reserved.

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