Engineering microscale two-dimensional gold nanoparticle cluster arrays for advanced Raman sensing: An AFM study.
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| Title: | Engineering microscale two-dimensional gold nanoparticle cluster arrays for advanced Raman sensing: An AFM study. |
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| Authors: | Domenici, F.1,2 fabiodomenici@gmail.com, Fasolato, C.1,3, Mazzi, E.1,4, De Angelis, L.1,5, Brasili, F.1, Mura, F.6, Postorino, P.1 paolo.postorino@roma1.infn.it, Bordi, F.1,7 federico.bordi@roma1.infn.it |
| Source: | Colloids & Surfaces A: Physicochemical & Engineering Aspects. Jun2016, Vol. 498, p168-175. 8p. |
| Subjects: | Gold nanoparticles, Gold clusters, Silicon, Microstructure, Substrates (Materials science), SERS spectroscopy, Atomic force microscopy, Electron beam lithography |
| Abstract: | We realized and tested a strategy for developing reproducible and stable two-dimensional gold nanoparticle cluster arrays arranged on silicon substrates, to be used for surface-enhanced Raman spectroscopy. We combined electron beam lithography and molecular functionalization to finely control the shape of the nanoparticle assemblies. Atomic force microscopy analysis allowed to optimize the procedure of nanoparticle cluster array fabrication in terms of electron beam dose and chemical protocol, enabling to achieve a good regularity in spacing and size (i.e. area and layer number) of the clusters. MicroRaman space resolved measurements were undertaken on large 2D arrays (100 × 100 μm 2 ) made up of regularly microsized clusters. The high surface enhanced Raman signal measured on the structures highlights the full correspondence of the spatial and optical periodicity achieved. This standardized procedure represent the basis to realize versatile platforms for nano-optical investigation and towards an efficient high-sensitive multiplex sensing. [ABSTRACT FROM AUTHOR] |
| Copyright of Colloids & Surfaces A: Physicochemical & Engineering Aspects is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 114523488 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.colsurfa.2016.03.043 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 168 Subjects: – SubjectFull: Gold nanoparticles Type: general – SubjectFull: Gold clusters Type: general – SubjectFull: Silicon Type: general – SubjectFull: Microstructure Type: general – SubjectFull: Substrates (Materials science) Type: general – SubjectFull: SERS spectroscopy Type: general – SubjectFull: Atomic force microscopy Type: general – SubjectFull: Electron beam lithography Type: general Titles: – TitleFull: Engineering microscale two-dimensional gold nanoparticle cluster arrays for advanced Raman sensing: An AFM study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Domenici, F. – PersonEntity: Name: NameFull: Fasolato, C. – PersonEntity: Name: NameFull: Mazzi, E. – PersonEntity: Name: NameFull: De Angelis, L. – PersonEntity: Name: NameFull: Brasili, F. – PersonEntity: Name: NameFull: Mura, F. – PersonEntity: Name: NameFull: Postorino, P. – PersonEntity: Name: NameFull: Bordi, F. IsPartOfRelationships: – BibEntity: Dates: – D: 05 M: 06 Text: Jun2016 Type: published Y: 2016 Identifiers: – Type: issn-print Value: 09277757 Numbering: – Type: volume Value: 498 Titles: – TitleFull: Colloids & Surfaces A: Physicochemical & Engineering Aspects Type: main |
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