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Dataset demonstrating the working-principles of surface-exposed nanoparticle sheet enhanced Raman spectroscopy (SENSERS) for solvent-free SERS.

ABSTRACT: Here, we present surface-enhanced Raman data for the calculation of signal uniformity and enhancement factor in SENSERS (surface-exposed nanoparticle sheet enhanced Raman spectroscopy). SEM was used to characterize the microstructure of the solid sample. The interaction between the solid sample and surface-exposed nanoparticle sheet was characterized using SERS and SEM. Based on these data a "skin" versus "sheet" type calculation method was used to calculate the magnitude of Raman signal enhancement within SENSERS. The data presented in this article is related to the research article entitled "Pressing Solids Directly Into Sheets of Plasmonic Nanojunctions Enables Solvent-Free Surface-Enhanced Raman Spectroscopy" (Xu et al., 2018).

SUBMITTER: Li C

PROVIDER: S-EPMC6660487 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature

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Dataset demonstrating the working-principles of surface-exposed nanoparticle sheet enhanced Raman spectroscopy (SENSERS) for solvent-free SERS.

Li Chunchun C Chen Qinglu Q McCabe Hannah H Kelly Jessica J Ye Ziwei Z Xu Yikai Y Bell Steven E J SEJ

Data in brief 20190307

Here, we present surface-enhanced Raman data for the calculation of signal uniformity and enhancement factor in SENSERS (surface-exposed nanoparticle sheet enhanced Raman spectroscopy). SEM was used to characterize the microstructure of the solid sample. The interaction between the solid sample and surface-exposed nanoparticle sheet was characterized using SERS and SEM. Based on these data a "skin" versus "sheet" type calculation method was used to calculate the magnitude of Raman signal enhance ...[more]

PMID: 31372411

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