Literature DB >> 28213242

Cocaine profiling: Implementation of a predictive model by ATR-FTIR coupled with chemometrics in forensic chemistry.

Stefano Materazzi1, Adolfo Gregori2, Luigi Ripani2, Azzurra Apriceno1, Roberta Risoluti3.   

Abstract

In this study, a strategy based on Infrared Spectroscopy with Fourier Transformed and Attenuated Total Reflectance associated with chemometrics (ATR-FTIR) is proposed to identify the chemical "fingerprint" of cocaine samples. To this end, standard mixtures of cocaine and cuttings at differents ratio were investigated in order to develop a multivariate classification model to simultaneously predict the composition of the samples and to obtain a profile of adulteration of cocaine seizures. In addition, the application of a Partial Least Squares (PLS) and Principal Component Regression (PCR) calibration approaches were found to be a useful tool to predict the content of cocaine, caffeine, procaine, lidocaine and phenacetin in drug seizures. The achieved results on real confiscated samples, in cooperation with the Italian Scientific Investigation Department (Carabinieri-RIS) of Rome, allow to consider ATR-FTIR followed to chemometrics as a promising forensic tool in such situations involving profile comparisons and supporting forensic investigations. Copyright Â
© 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  ATR-FTIR spectroscopy; Chemometrics; Cocaine; Forensic chemistry; Profiling

Mesh:

Substances:

Year:  2017        PMID: 28213242     DOI: 10.1016/j.talanta.2017.01.045

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


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