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

Chunchun Li, Qinglu Chen, Hannah McCabe, Jessica Kelly, Ziwei Ye, Yikai Xu*, Steven E. J. Bell*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)
206 Downloads (Pure)

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).
Original languageEnglish
Article number103746
Number of pages11
JournalData in Brief
Volume23
Early online date07 Mar 2019
DOIs
Publication statusPublished - 01 Apr 2019

Fingerprint

Dive into the research topics of 'Dataset demonstrating the working-principles of surface-exposed nanoparticle sheet enhanced Raman spectroscopy (SENSERS) for solvent-free SERS'. Together they form a unique fingerprint.

Cite this