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Doctoral thesis
English

Enhanced IR signal from metal nanoparticle-polyelectrolyte-germanium composites: An in situ ATR-IR study

Contributors

Ghosh, Harekrishna

Directors

Buergi, Thomas

Defense date

2016-06-16

Abstract

Strong infrared (IR) signals from metal nanoparticles-polyelectrolyte-germanium composites have been investigated in details using in situ attenuated total reflectance infrared (ATR-IR) spectroscopy and microscopy. Layer by layer method has been applied to build up the polyelectrolytes-nanoparticles multilayers. Different types of nanostructures have been synthesized and utilised to study the system in details. Strong IR signals from molecules, polyelectrolytes and water are observed when they are adsorbed on plasmonic metal nanoparticles surface. This enhancement depends on particles size, coverage and distance from particles surface. Strong signal originates from nanogaps. Furthermore enhancement has been found from the bottom of nanoparticles. Furthermore, a huge IR signal was observed from germanium-polyelectrolyte-metal nanoparticles composites upon visible light illumination. This IR signal is due to holes in the valence band of germanium semiconductor which reveals electron transfer from germanium to metal. This type of system can be applied as infrared modulator as well as for sensing.

Keywords

  • Attenuated total reflection infrared spectroscopy
  • Polyelectrolytes
  • Metal nanoparticles
  • Germanium ATR crystal
  • Polyelectrolyte-nanoparticle composite
  • Layer by layer method
  • Surface enhanced infrared absorption
  • Interparticles coupling
  • Visible light
  • Electron transfer
  • Sensing

UNIGE affiliation entities

UNIGE research groups

Citation (ISO format)

GHOSH, Harekrishna. Enhanced IR signal from metal nanoparticle-polyelectrolyte-germanium composites: An in situ ATR-IR study. Doctoral Thesis, 2016. doi: 10.13097/archive-ouverte/unige:86253

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Thesis

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Technical informations

Creation

21/07/2016 01:38:00

First validation

21/07/2016 01:38:00

Update

15/03/2023 00:38:58

Status update

15/03/2023 00:38:57

Last indexation

13/05/2025 17:03:48
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