Abstract

With single-molecule sensitivity, surface-enhanced Raman scattering (SERS) has promised to be a powerful tool from chemical analysis to biosensors. However, problem with large signal fluctuations for reproducibility has impeded SERS from widespread application. The fabrication of SERS substrate with large and uniform enhancement in combination with an effective target analyte-transfer process is crucial for applications of SERS for trace molecule detection. In this study, we performed laser-scanning confocal mapping to characterize 3 SERS substrate samples. The substrate consists of a monolayer of cuboctahedral silver nanocrystals (AgNCs) made with Langmuir-Blodgett technique. The synthesis of the cuboctahedral AgNCs involves the use of polyvinylpyrrolidone (PVP) as a shape-controlling agent that remains on the surface of the nanocrystals. Using PVP as an analyte, we investigate the temporal and spatial variation of PVP SERS signals from the cuboctahedral AgNC Langmuir-Blodgett film. Analyzing the enhancement probability distribution with a model allows quantitative characterization of the cuboctahedral AgNC SERS substrates. The results help to identify important SERS substrate characteristics that influence the performance of the SERS substrate.

Original languageEnglish
JournalJournal of Raman Spectroscopy
DOIs
Publication statusAccepted/In press - Jan 1 2018

Fingerprint

Langmuir Blodgett films
Silver
Nanocrystals
Raman scattering
Statistical methods
Substrates
Povidone
Molecules
Biosensors
Probability distributions
Monolayers
Scanning
Fabrication
Lasers

Keywords

  • Enhancement probability distribution
  • Laser-scanning confocal spectromicroscope
  • Polyvinylpyrrolidone
  • Signal fluctuation
  • Surface-enhanced Raman scattering (SERS)

ASJC Scopus subject areas

  • Materials Science(all)
  • Spectroscopy

Cite this

Statistical analysis of cuboctahedral silver nanocrystals Langmuir-Blodgett film SERS substrate. / Chen, Wei Liang; Huang, Yi Hsin; Cheng, Hui Yu; Kuo, Tsung Rong; Chang, Yu Ming.

In: Journal of Raman Spectroscopy, 01.01.2018.

Research output: Contribution to journalArticle

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AU - Chang, Yu Ming

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