Current Directions in Biomedical Engineering (Sep 2017)

Automatic particle analysis by Raman spectroscopy – evaluation of sample preparation and optimum background material

  • Kurzhals Anja,
  • Teske Michael,
  • Reske Thomas,
  • Eickner Thomas,
  • Grabow Niels,
  • Schmidt Wolfram,
  • Schmitz Klaus-Peter

DOI
https://doi.org/10.1515/cdbme-2017-0150
Journal volume & issue
Vol. 3, no. 2
pp. 707 – 710

Abstract

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The particle generation of medical implants and drug coated balloons (DCB) is evaluated by simulating the implantation process and collecting the released particle material. In addition to size and particle counts their material composition is of interest. Raman spectroscopy and micros-copy are established methods for chemical identification. For the manual analysis of the particles different filter or rather background materials are suitable because different require-ments in height and intensity of the spectra can be compen-sated by the user. The aim of this study was to find suitable background materials for automatic particle identification.

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