December 5, 2017
Journal Article

Improved Assignments of the Vibrational Fundamental Modes of ortho-, meta-, and para-xylene Using Gas- and Liquid-Phase Infrared and Raman Spectra Combined with ab initio Calculations: Quantitative Gas-Phase Infrared Spectra for Detection

Abstract

Xylenes contain a blend of the ortho-, meta-, and para- isomers, and all are abundant contaminants in the ground, surface waters, and air. To better characterize xylene and to better enable its detection, we report high quality quantitative vapor-phase infrared spectra of all three isomers over the 540?6500 cm-1 range. All fundamental vibrational modes are assigned based on these vapor-phase infrared spectra, liquid-phase infrared and Raman spectra, along with density functional theory (DFT), ab initio MP2 and high energy-accuracy compound theoretical model (W1BD) calculations. Both MP2 and DFT predict a single conformer with C2v symmetry for ortho-xylene, and two conformers each for meta- and para-xylene, depending on the preferred orientations of the methyl groups. For meta-xylene the two conformers have Cs and C2 symmetry, and for para-xylene these conformers have C2v or C2h symmetry. Since the relative population of the two conformers is approximately 50% for both isomers and predicted frequencies and intensities are very similar for each conformer, we made an arbitrary choice to discuss the Cs conformer for meta-xylene and the C2v conformer for para-xylene. We report integrated band intensities for all isomers. Using the quantitative infrared data, we determine the global warming potential values of each isomer and discuss potential bands for atmospheric monitoring.

Revised: September 19, 2017 | Published: December 5, 2017

Citation

Lindenmaier R., N.K. Scharko, R.G. Tonkyn, K.T. Nguyen, S.D. Williams, and T.J. Johnson. 2017. Improved Assignments of the Vibrational Fundamental Modes of ortho-, meta-, and para-xylene Using Gas- and Liquid-Phase Infrared and Raman Spectra Combined with ab initio Calculations: Quantitative Gas-Phase Infrared Spectra for Detection. Journal of Molecular Structure 1149. PNNL-SA-124326. doi:10.1016/j.molstruc.2017.07.053