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Quantification using statistical parameters derived from signal intensity distributions in surface enhanced Raman

Yu Fukunaga1, Tetsuo Okada1

  • 1Department of Chemistry, Tokyo Institute of Technology, Meguro-ku, Tokyo, 152-8551, Japan.

Analytica Chimica Acta
|September 24, 2021
PubMed
Summary

Surface-enhanced Raman scattering (SERS) offers sensitive molecular detection but faces quantification challenges due to signal fluctuations. This study demonstrates robust SERS quantification of adenine and thymine using signal intensity distributions and sample freezing for nanomolar detection.

Keywords:
Exponentially modified GaussianFreezingNucleic acid basesSERSSignal intensity distributionSilver nanoparticle

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Area of Science:

  • Analytical Chemistry
  • Spectroscopy
  • Nanotechnology

Background:

  • Raman spectroscopy provides molecular insights but suffers from low sensitivity.
  • Surface-enhanced Raman scattering (SERS) enhances sensitivity but quantification remains difficult due to signal fluctuations.
  • Silver nanoparticle (AgNP) platforms are utilized for SERS applications.

Purpose of the Study:

  • To investigate the possibility of robust quantification using SERS.
  • To analyze signal intensity distributions (SIDs) in SERS for adenine and thymine.
  • To develop methods for overcoming SERS quantification challenges.

Main Methods:

  • Analysis of over 10,000 SERS spectra of adenine and thymine on AgNPs.
  • Modeling SIDs using the exponentially modified Gaussian function.
  • Incorporation of sample freezing for enhanced analyte and AgNP enrichment.

Main Results:

  • SIDs exhibit statistically relevant patterns despite large fluctuations and are well-described by reproducible parameters.
  • Mean signal intensity correlates with adenine concentration (10-75 μM), but corrected standard deviation shows correlation in the 0.5-7.5 μM range.
  • Sample freezing enables nanomolar range quantification by concentrating analytes and AgNPs.

Conclusions:

  • Robust SERS quantification is feasible by analyzing SIDs and their parameters.
  • The corrected standard deviation of SIDs effectively quantifies low analyte concentrations.
  • Sample freezing is a crucial technique for achieving high-sensitivity SERS quantification in the nanomolar range.