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Raman Imaging pp 243-255 | Cite as

Mapping Chemical and Structural Composition of Pharmaceutical and Biological Samples by Raman, Surface-Enhanced Raman and Fluorescence Spectral Imaging

  • Igor Chourpa
  • Simone Cohen-Jonathan
  • Pierre Dubois
Chapter
Part of the Springer Series in Optical Sciences book series (SSOS, volume 168)

Abstract

Raman spectroscopy is an analytical technique recognised for its structural and conformational specificity. The efficient discrimination of molecular species by Raman is particularly potent for multidimensional microscopic imaging of complex biological environment, as demonstrated in the present book. The commonly admitted problem of Raman, low sensitivity, can often be circumvented due to high output instruments and via approaches like RRS (resonance Raman scattering), SERS (surface-enhanced Raman scattering), TERS (tip-enhanced Raman scattering) or CARS (coherent anti-Stokes Raman scattering). In contrast to the latter, RRS and SERS are realizable with less sophisticated set-up based on common Raman systems. Although more invasive than RRS, SERS provides better sensitivity and quenching of fluorescence. SERRS (surface-enhanced resonance Raman scattering) spectroscopy can be used in coupling with fluorescence and competes in selectivity and sensitivity with spectrofluorimetry. In the chapter below, we use recent applications made in our group to illustrate the use of Raman and SERRS spectral imaging for characterization of biological samples (animal subcutaneous tissue, human cancer cells) and pharmaceutical samples (microparticles for drug delivery, fibres for wound dressing). After a brief description of experimental details on spectral imaging, the chapter will focus on results concerning (i) biocompatible pharmaceutical materials made of alginates and (ii) anticancer drugs in pharmaceutical forms and in biological systems.

Keywords

Spectral Imaging Raman Microspectroscopy Alginate Fibre Resonance Raman Scattering Subdermal Implant 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

The authors acknowledge Région Centre (France), Ligue Nationale Contre le Cancer (France), ARC (France), IFR-135 (Tours, France) and Laboratoire Brothier (Fontevraud l’Abbaye, France) for the financial support.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Igor Chourpa
    • 1
  • Simone Cohen-Jonathan
    • 1
  • Pierre Dubois
    • 1
  1. 1.EA 6295, Nanomédicaments et NanosondesUniversité François Rabelais de ToursToursFrance

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