Intelligent screening for designer drugs: A signal analysis

Author

Praisler, Mirela ; Ciochina, Silviu

Author_Institution

“Dunarea de Jos” Univ. of Galati, Galati, Romania

fYear

2013

fDate

11-13 Oct. 2013

Firstpage

428

Lastpage

433

Abstract

We are presenting an optimized intelligent screening tool built for the automated detection of amphetamines, which represent the main designer drugs found on the black market in Europe. The GC-FTIR spectra of the target compounds were preprocessed with a w² function that enhances the absorptions identified as having a high modeling and / or discrimination power. The absorptions responsible for the discrimination of amphetamines according to their biological (stimulant and / or hallucinogenic) effect were determined and interpreted. The positive effect of the w² selective amplifier on the efficiency of the detection system is highlighted by a comparative analysis based on agglomerative clustering.

Keywords

Fourier transform spectra; chemistry computing; chromatography; drugs; infrared spectra; pattern clustering; signal processing; Europe; Fourier transform infrared spectroscopy; GC-FTIR spectra; absorptions; agglomerative clustering; amphetamines; biological effect; black market; designer drugs; gas chromatography; intelligent screening tool; signal analysis; w² function; w² selective amplifier; Absorption; Compounds; Databases; Loading; Principal component analysis; Vectors; Vibrations; Principal Component Analysis; amphetamines; loading plots; selective amplifier;

fLanguage

English

Publisher

ieee

Conference_Titel

System Theory, Control and Computing (ICSTCC), 2013 17th International Conference

Conference_Location

Sinaia

Print_ISBN

978-1-4799-2227-7

Type

conf

DOI

10.1109/ICSTCC.2013.6688996

Filename

6688996