No full text
Unpublished conference/Abstract (Scientific congresses and symposiums)
Classification trees based on infrared spectroscopic data to discriminate between genuine and counterfeit medecines
Deconinck, Eric; Sacré, Pierre-Yves; De Beer, Jacques
2011Recent Developments in Pharmaceutical Analysis (RDPA)
 

Files


Full Text
No document available.

Send to



Details



Keywords :
counterfeit medicines; PDE-5 inhibitors; infrared spectroscopy; Raman spectroscopy; classification; CART
Abstract :
[en] Classification trees built with the Classification And Regression Tree algorithm were evaluated for modelling infrared spectroscopic data in order to discriminate between genuine and counterfeit drug samples and to classify counterfeit samples in different classes following the RIVM classification system. Models were built for two data sets consisting of the Fourier Transform Infrared spectra, the Near Infrared spectra and the Raman spectra for genuine and counterfeit samples of respectively Viagra® and Cialis®. Easy interpretable models were obtained for both models. The models were validated for their descriptive and predictive properties. The predictive properties were evaluated using both cross validation as an external validation set. The obtained models for both data sets showed a 100% correct classification for the discrimination between genuine and counterfeit samples and 83.3% and 100% correct classification for the counterfeit samples for the Viagra® and the Cialis® data set respectively.
Disciplines :
Pharmacy, pharmacology & toxicology
Author, co-author :
Deconinck, Eric
Sacré, Pierre-Yves  ;  Université de Liège - ULiège > Doct. sc. bioméd. & pharma. (Bologne)
De Beer, Jacques
Language :
English
Title :
Classification trees based on infrared spectroscopic data to discriminate between genuine and counterfeit medecines
Publication date :
23 September 2011
Event name :
Recent Developments in Pharmaceutical Analysis (RDPA)
Event organizer :
University of Pavia
Event place :
Pavie, Italy
Event date :
21 au 24 septembre 2011
Audience :
International
Available on ORBi :
since 30 September 2011

Statistics


Number of views
61 (3 by ULiège)
Number of downloads
0 (0 by ULiège)

Bibliography


Similar publications



Contact ORBi