3D silver nanoparticles with multilayer graphene oxide as a spacer for surface enhanced Raman spectroscopy analysis
We report a three-dimensional (3D) SERS substrate with different numbers of silver nanoparticle (Ag NP) layers using multilayer graphene oxide (GO) as a spacer. The SERS performance of the 3D nanostructure was investigated and it was found that the SERS effect increased as the number of Ag NP layers...
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| Published in | Nanoscale Vol. 10; no. 13; pp. 5897 - 5905 |
|---|---|
| Main Authors | , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
England
Royal Society of Chemistry
07.04.2018
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| Subjects | |
| Online Access | Get full text |
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| Abstract | We report a three-dimensional (3D) SERS substrate with different numbers of silver nanoparticle (Ag NP) layers using multilayer graphene oxide (GO) as a spacer. The SERS performance of the 3D nanostructure was investigated and it was found that the SERS effect increased as the number of Ag NP layers increased, and showed almost no change for more than four layers. We found that the SERS performance of the 3D nanostructures can be mainly attributed to the topmost hot spots which are closely related to the Ag NP layers in the 3D nanostructure. Furthermore, we explored 3D nanostructures with different Ag NP layers using the finite difference time domain method (FDTD). The 3D SERS substrates also exhibit excellent detection capability. The limit of detection (LOD) was calculated down to 10
−15
M for R6G and 10
−12
M for CV. In addition, the reproducibility of the 3D SERS substrate was attributed obviously to the increasing number of Ag NP layers. Based on these promising results, the highly sensitive detection of molecules such as malachite green was demonstrated for food safety inspection. |
|---|---|
| AbstractList | We report a three-dimensional (3D) SERS substrate with different numbers of silver nanoparticle (Ag NP) layers using multilayer graphene oxide (GO) as a spacer. The SERS performance of the 3D nanostructure was investigated and it was found that the SERS effect increased as the number of Ag NP layers increased, and showed almost no change for more than four layers. We found that the SERS performance of the 3D nanostructures can be mainly attributed to the topmost hot spots which are closely related to the Ag NP layers in the 3D nanostructure. Furthermore, we explored 3D nanostructures with different Ag NP layers using the finite difference time domain method (FDTD). The 3D SERS substrates also exhibit excellent detection capability. The limit of detection (LOD) was calculated down to 10−15 M for R6G and 10−12 M for CV. In addition, the reproducibility of the 3D SERS substrate was attributed obviously to the increasing number of Ag NP layers. Based on these promising results, the highly sensitive detection of molecules such as malachite green was demonstrated for food safety inspection. We report a three-dimensional (3D) SERS substrate with different numbers of silver nanoparticle (Ag NP) layers using multilayer graphene oxide (GO) as a spacer. The SERS performance of the 3D nanostructure was investigated and it was found that the SERS effect increased as the number of Ag NP layers increased, and showed almost no change for more than four layers. We found that the SERS performance of the 3D nanostructures can be mainly attributed to the topmost hot spots which are closely related to the Ag NP layers in the 3D nanostructure. Furthermore, we explored 3D nanostructures with different Ag NP layers using the finite difference time domain method (FDTD). The 3D SERS substrates also exhibit excellent detection capability. The limit of detection (LOD) was calculated down to 10-15 M for R6G and 10-12 M for CV. In addition, the reproducibility of the 3D SERS substrate was attributed obviously to the increasing number of Ag NP layers. Based on these promising results, the highly sensitive detection of molecules such as malachite green was demonstrated for food safety inspection.We report a three-dimensional (3D) SERS substrate with different numbers of silver nanoparticle (Ag NP) layers using multilayer graphene oxide (GO) as a spacer. The SERS performance of the 3D nanostructure was investigated and it was found that the SERS effect increased as the number of Ag NP layers increased, and showed almost no change for more than four layers. We found that the SERS performance of the 3D nanostructures can be mainly attributed to the topmost hot spots which are closely related to the Ag NP layers in the 3D nanostructure. Furthermore, we explored 3D nanostructures with different Ag NP layers using the finite difference time domain method (FDTD). The 3D SERS substrates also exhibit excellent detection capability. The limit of detection (LOD) was calculated down to 10-15 M for R6G and 10-12 M for CV. In addition, the reproducibility of the 3D SERS substrate was attributed obviously to the increasing number of Ag NP layers. Based on these promising results, the highly sensitive detection of molecules such as malachite green was demonstrated for food safety inspection. We report a three-dimensional (3D) SERS substrate with different numbers of silver nanoparticle (Ag NP) layers using multilayer graphene oxide (GO) as a spacer. The SERS performance of the 3D nanostructure was investigated and it was found that the SERS effect increased as the number of Ag NP layers increased, and showed almost no change for more than four layers. We found that the SERS performance of the 3D nanostructures can be mainly attributed to the topmost hot spots which are closely related to the Ag NP layers in the 3D nanostructure. Furthermore, we explored 3D nanostructures with different Ag NP layers using the finite difference time domain method (FDTD). The 3D SERS substrates also exhibit excellent detection capability. The limit of detection (LOD) was calculated down to 10-15 M for R6G and 10-12 M for CV. In addition, the reproducibility of the 3D SERS substrate was attributed obviously to the increasing number of Ag NP layers. Based on these promising results, the highly sensitive detection of molecules such as malachite green was demonstrated for food safety inspection. We report a three-dimensional (3D) SERS substrate with different numbers of silver nanoparticle (Ag NP) layers using multilayer graphene oxide (GO) as a spacer. The SERS performance of the 3D nanostructure was investigated and it was found that the SERS effect increased as the number of Ag NP layers increased, and showed almost no change for more than four layers. We found that the SERS performance of the 3D nanostructures can be mainly attributed to the topmost hot spots which are closely related to the Ag NP layers in the 3D nanostructure. Furthermore, we explored 3D nanostructures with different Ag NP layers using the finite difference time domain method (FDTD). The 3D SERS substrates also exhibit excellent detection capability. The limit of detection (LOD) was calculated down to 10 −15 M for R6G and 10 −12 M for CV. In addition, the reproducibility of the 3D SERS substrate was attributed obviously to the increasing number of Ag NP layers. Based on these promising results, the highly sensitive detection of molecules such as malachite green was demonstrated for food safety inspection. |
| Author | Ning, Tingyin Li, Zhen Huo, Yanyan Zhang, Chao He, Yuan Wang, Minghong Liu, Aihua Jiang, Shouzhen Li, Chonghui Man, Baoyuan |
| Author_xml | – sequence: 1 givenname: Zhen orcidid: 0000-0002-6820-4187 surname: Li fullname: Li, Zhen organization: School of Physics and Electronics, Shandong Normal University, Jinan 250014, China – sequence: 2 givenname: Shouzhen surname: Jiang fullname: Jiang, Shouzhen organization: School of Physics and Electronics, Shandong Normal University, Jinan 250014, China – sequence: 3 givenname: Yanyan surname: Huo fullname: Huo, Yanyan organization: School of Physics and Electronics, Shandong Normal University, Jinan 250014, China – sequence: 4 givenname: Tingyin surname: Ning fullname: Ning, Tingyin organization: School of Physics and Electronics, Shandong Normal University, Jinan 250014, China – sequence: 5 givenname: Aihua surname: Liu fullname: Liu, Aihua organization: School of Physics and Electronics, Shandong Normal University, Jinan 250014, China – sequence: 6 givenname: Chao surname: Zhang fullname: Zhang, Chao organization: School of Physics and Electronics, Shandong Normal University, Jinan 250014, China – sequence: 7 givenname: Yuan surname: He fullname: He, Yuan organization: School of Physics and Electronics, Shandong Normal University, Jinan 250014, China – sequence: 8 givenname: Minghong orcidid: 0000-0003-4462-4766 surname: Wang fullname: Wang, Minghong organization: School of Physics and Electronics, Shandong Normal University, Jinan 250014, China – sequence: 9 givenname: Chonghui surname: Li fullname: Li, Chonghui organization: School of Physics and Electronics, Shandong Normal University, Jinan 250014, China – sequence: 10 givenname: Baoyuan surname: Man fullname: Man, Baoyuan organization: School of Physics and Electronics, Shandong Normal University, Jinan 250014, China |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/29546897$$D View this record in MEDLINE/PubMed |
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| SubjectTerms | Finite difference method Finite difference time domain method Graphene Inspection Malachite green Nanoparticles Nanostructure Product safety Raman spectroscopy Reproducibility Silver Substrates Time domain analysis |
| Title | 3D silver nanoparticles with multilayer graphene oxide as a spacer for surface enhanced Raman spectroscopy analysis |
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