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Classification of narcotics in solid mixtures using principal component analysis and Raman spectroscopy
(ASTM International, 2002-03-01)
Eighty-five solid samples consisting of illegal narcotics diluted with several different materials were analyzed by near-infrared (785 nm excitation) Raman spectroscopy. Principal Component Analysis (PCA) was employed to ...
Machine learning methods for quantitative analysis of Raman spectroscopy data
(Society of Photo-optical Instrumentation Engineers (SPIE), 2003-08-27)
The automated identification and quantification of illicit materials using Raman spectroscopy is of significant importance for law enforcement agencies. This paper explores the use of Machine Learning (ML) methods in ...