Title :
Signal selective amplification: A solution for an improved detection of amphetamines with QCL equipped portable GC-IRAS spectrometers
Author :
Praisler, Mirela ; Ciochina, Silviu ; Stoica, Atanasia ; Dumitriu, Luminita
Author_Institution :
Dept. of Chem., “Dunarea de Jos” Univ. of Galati, Galati, Romania
Abstract :
In this article we are presenting a signal selective amplification method that was used for improving the automatic detection of amphetamines based on their infrared absorptions recorded in the narrow spectral window in which the QCL source of a new portable GC-IRAS spectrometer is emitting (1550-1330 cm-1). The expert system developed for class identity assignment is based on Principal Component Analysis (PCA) and distinguishes the amphetamines according to their toxic effect (stimulant and hallucinogenic amphetamines). The detection efficiency and accuracy was evaluated by using Cluster Analysis (CA).
Keywords :
chromatography; drugs; expert systems; gas sensors; infrared detectors; infrared spectra; infrared spectrometers; pattern clustering; portable instruments; principal component analysis; quantum cascade lasers; statistical analysis; toxicology; CA; PCA; QCL equipped portable GC-IRAS spectrometer; class identity assignment; cluster analysis; expert system; gas chromatography; hallucinogenic amphetamine detection; infrared absorption recording; infrared absorption spectroscopy; narrow spectral window; principal component analysis; quantum cascade laser; signal selective amplification method; stimulant; toxic effect; wave number 1550 cm-1 to 1330 cm-1; Absorption; Compounds; Databases; Dispersion; Drugs; Principal component analysis; Quantum cascade lasers; Principal Component Analysis; amphetamines; detection optimization;
Conference_Titel :
System Theory, Control and Computing (ICSTCC), 2014 18th International Conference
Conference_Location :
Sinaia
DOI :
10.1109/ICSTCC.2014.6982535
