4.7 Article

A systematic study of the absorbance of the nitro functional group in the vacuum UV region

Journal

ANALYTICA CHIMICA ACTA
Volume 1185, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.aca.2021.339042

Keywords

Nitrated compounds; Vacuum ultraviolet spectroscopy; Gas chromatography

Funding

  1. National Institute of Justice Award [2017-R2-CX-0018, 2018-R2-CX-0015]

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Gas chromatography/vacuum UV spectroscopy was used to study the gas phase VUV spectra of various nitrated compounds. The absorption characteristics of the nitro functional group were found to vary depending on the structure of the molecule, with different compounds exhibiting unique absorption patterns in the vacuum UV region. The diversity of the spectra analyzed could be reliably differentiated using PCA and LDA techniques.
The nitro functional group (NO2) features strongly in compounds such as explosives, pharmaceuticals, and fragrances. However, its gas phase absorbance characteristics in the vacuum UV region (120 -200 nm) have not been systematically studied. Gas chromatography/vacuum UV spectroscopy (GC/ VUV) was utilized to study the gas phase VUV spectra of various nitrated compounds (e.g., nitrate esters (-R-O-NO2), nitramines (R-N-NO2), nitroaromatics (Ar-NO2), and nitroalkanes (R-NO2)). The nitro absorption maximum appeared over a wide range (170-270 nm) and its wavelength and intensity were highly dependent upon the structure of the rest of the molecule. For example, the nitroalkanes exhibited a trend in that the ratio of the relative absorption intensity between these two absorption features between the alkyl group (<150 nm) and the nitro group (200 nm) increases as the molecular weight increases. It was observed that the addition of multiple nitro functional groups on benzene or toluene resulted in an increase in intensity and blue shift from approximately 240 nm-210 nm. Nitrate esters exhibited an absorption between 170 nm and 210 nm and absorbance increased with increasing nitrogen content. The relative diversity of the spectra obtained was analyzed by Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA). These calculations revealed that the spectra of all the compounds analyzed could be reliably differentiated without any misclassifications. (C) 2021 Published by Elsevier B.V.

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