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A Multimodal Wide-Field Fourier-Transform Raman Microscope
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Surface-enhanced hyper-Raman and Raman hyperspectral mapping.

Marina Gühlke1, Zsuzsanna Heiner, Janina Kneipp

  • 1Humboldt-Universität zu Berlin, Department of Chemistry, Brook-Taylor-Str. 2, 12489 Berlin, Germany. janina.kneipp@chemie.hu-berlin.de.

Physical Chemistry Chemical Physics : PCCP
|May 12, 2016
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Summary
This summary is machine-generated.

We used advanced Raman scattering techniques to map the distribution of similar dyes on plasmonic surfaces. This method shows potential for multiplex imaging in complex chemical systems.

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Area of Science:

  • Plasmonics
  • Spectroscopy
  • Chemical Imaging

Background:

  • Surface-enhanced hyper-Raman scattering (SEHRS) and surface-enhanced Raman scattering (SERS) provide molecular vibration information.
  • SEHRS and SERS follow different spectroscopic selection rules, offering complementary data.
  • Principal component analysis (PCA) is a multivariate method for data analysis.

Purpose of the Study:

  • To investigate the distribution of crystal violet and malachite green dyes on plasmonic surfaces.
  • To demonstrate the potential of combined SEHRS and SERS for multiplex imaging.
  • To utilize PCA for analyzing hyperspectral SEHRS and SERS data.

Main Methods:

  • Acquiring SEHRS data excited at 1064 nm and SERS data excited at 532 nm.
  • Performing simultaneous hyperspectral mapping of the dyes.
  • Applying principal component analysis (PCA) imaging to the spectroscopic data.

Main Results:

  • Successfully mapped the distributions of structurally similar dyes (crystal violet and malachite green) on plasmonic surfaces.
  • Demonstrated improved spatially resolved multivariate discrimination using complementary vibrational information from SEHRS and SERS.
  • Validated the potential of PCA imaging for analyzing complex spectroscopic datasets.

Conclusions:

  • Combined SEHRS and SERS, analyzed with PCA imaging, enables effective multiplex imaging of similar molecules on plasmonic surfaces.
  • This approach offers enhanced chemical structure information through complementary vibrational data.
  • The technique holds promise for analyzing complex systems requiring high spatial resolution and chemical specificity.