4.7 Article

Simultaneous identification and quantification of nitro-containing explosives by advanced chemometric data treatment of cyclic voltammetry at screen-printed electrodes

期刊

TALANTA
卷 107, 期 -, 页码 270-276

出版社

ELSEVIER
DOI: 10.1016/j.talanta.2012.12.042

关键词

Electronic tongue; Artificial neural network; Voltammetric sensor; Explosives; TNT

资金

  1. Department of Defense Biometrics and Forensics Office [HQ0034-11-C-0034]
  2. Spanish Ministry of Science and Innovation, MCINN (Madrid) [CTQ2010-17099]
  3. Dept. D'Innovacio, Universitats i Empresa de la Generalitat de Catalunya
  4. Program ICREA Academia

向作者/读者索取更多资源

The simultaneous determination of three nitro-containing compounds found in the majority of explosive mixtures, namely hexahydro-1,3,5-trinitro-1,3,5-triazine (RDX), 2,4,6-trinitrotoluene (TNT) and pentaerythritol tetranitrate (PETN), is demonstrated using both qualitative and quantitative approaches involving the coupling of electrochemical measurements and advanced chemometric data processing. Voltammetric responses were obtained from a single bare screen-printed carbon electrode (SPCE), which exhibited marked mix-responses towards the compounds examined. The responses obtained were then preprocessed employing discrete wavelet transform (DWT) and the resulting coefficients were input to an artificial neural network (ANN) model. Subsequently, meaningful data was extracted from the complex voltammetric readings, achieving either the correct discrimination of the different commercial mixtures (100% of accuracy, sensitivity and specificity) or the individual quantification of each of the compounds under study (total NRMSE of 0.162 for the external test subset). (C) 2013 Elsevier B.V. All rights reserved.

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