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Proceedings Paper

Recognition of pharmaceuticals with compact mini-Raman-spectrometer and automized pattern recognition algorithms
Author(s): Hendrik Jähme; Giuseppe Di Florio; Valeria Conti Nibali; Cemal Esen; Andreas Ostendorf; Markus Grafen; Erich Henke; Jens Soetebier; Carsten Brenner; Martina Havenith; Martin R. Hofmann
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Paper Abstract

Robust classification of pharmaceuticals in an industrial process is an important step for validation of the final product. Especially for pharmaceuticals with similar visual appearance a quality control is only possible if a reliable algorithm based on easily obtainable spectroscopic data is available. We used Principal Component Analysis (PCA) and Support Vector Machines (SVM) on Raman spectroscopy data from a compact Raman system to classify several look-alike pharmaceuticals. This paper describes the data gathering and analysis process to robustly discriminate 19 different pharmaceuticals with similar visual appearance. With the described process we successfully identified all given pharmaceuticals which had a significant amount of active ingredients. Thus automatic validation of these pharmaceuticals in a process can be used to prevent wrong administration of look-alike drugs in an industrial setting, e.g. patient individual blistering.

Paper Details

Date Published: 4 May 2016
PDF: 6 pages
Proc. SPIE 9899, Optical Sensing and Detection IV, 98992M (4 May 2016); doi: 10.1117/12.2228070
Show Author Affiliations
Hendrik Jähme, Ruhr-Univ. Bochum (Germany)
Giuseppe Di Florio, Ruhr-Univ. Bochum (Germany)
Valeria Conti Nibali, Ruhr-Univ. Bochum (Germany)
Cemal Esen, Ruhr-Univ. Bochum (Germany)
Andreas Ostendorf, Ruhr-Univ. Bochum (Germany)
Markus Grafen, Ruhr-Univ. Bochum (Germany)
Erich Henke, BlisterCenter Aschaffenburg GmbH (Germany)
Jens Soetebier, Ruhr-Univ. Bochum (Germany)
Carsten Brenner, Ruhr-Univ. Bochum (Germany)
Martina Havenith, Ruhr-Univ. Bochum (Germany)
Martin R. Hofmann, Ruhr-Univ. Bochum (Germany)

Published in SPIE Proceedings Vol. 9899:
Optical Sensing and Detection IV
Francis Berghmans; Anna G. Mignani, Editor(s)

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