Corona chemistry in Titan

PM3, AM1, MNDO and MINDO3 semi-empirical IR spectra simulations for compounds of interest for Titan's chemistry: diazomethane, methyl azide, methyl isocyanide, diacetylene and triacetylene

Four semi-empirical methods (PM3, AM1, MNDO and MINDO3) have been tested to find the best auxiliary tool for the gas chromatography/Fourier transform IR spectroscopy/mass spectrometry (GC/FTIR/MS) identification of five compounds of interest for Titan's atmospheric chemistry as test compounds: diacetylene, triacetylene, diazomethane, methyl azide, methyl isocyanide. Of the four methods, MINDO3 can be considered as the most appropriate method to facilitate the identification of such and similar compounds, since (1) the simulated IR spectra best match the experimental spectra for four compounds of five studied; and (2) MINDO3 provides the best linearity between the calculated and experimental frequencies (correlation coefficient of 0.995; a scaling factor of 0.84 can be applied to afford better correspondence between the calculated and experimental wavenumbers). None of the semi-empirical methods tested is able to predict (even approximately) infrared band intensities, and therefore a spectral intensity pattern.

Quantum chemical calculations of infrared spectra for the identification of unknown compounds by GC/FTIR/MS in exobiological simulation experiments

Gas chromatography/Fourier transform IR spectroscopy/mass spectrometry (GC/FTIR/MS) is a powerful tool for the separation and unambiguous identification of complex mixtures of organic compounds, where the use of two kinds of spectra allows to significantly increase identification reliability. The simplest situation is when acquired spectra can be found in IR and MS databases, or appropriate standards are available; but this is not always the case. Some simulation experiments related to the origins of life and exobiology (e.g., simulation of amino acid pyrolysis during atmospheric entry of space bodies) can be a typical example when one encounters with numerous unknown compounds. To assist their identification by GC/FTIR/MS, recently we suggested quantum chemical calculations of infrared spectra in order to compare them to IR spectra acquired experimentally. The present work summarizes the results obtained by semi-empirical and ab initio methods, discusses their advantages and limitations, considering as test compounds some cyclic amides and amidines derived from amino acids, saturated and unsaturated nitriles (including those of interest for the Titan atmospheric chemistry), acetylenes and some other nitrogen compounds.

PM3, AM1, MINDO3 semi-empirical IR spectra simulations for some nitriles of interest for Titan's chemistry

A set of the semi-empirical methods (PM3, AM1, MNDO and MINDO3) has been tested to find the best auxiliary tool for the identification of nitriles by gas chromatography/Fourier transform IR spectroscopy/mass spectrometry, considering five nitriles of interest for Titan's chemistry as test compounds: acetonitrile, acrylonitrile, cyanoacetylene, 2-butynenitrile and dicyanoacetylene. Of the four semi-empirical methods, MNDO can be considered as the most advantageous auxiliary tool for the gas chromatography/Fourier transform IR spectroscopy/mass spectrometry (GC/FTIR/MS) identification of nitriles of interest for Titan's atmospheric chemistry, since (1) the simulated IR spectra best match the experimental (in some cases AM1 gives comparable results); (2) it provides the best linearity between the calculated and experimental frequencies (correlation coefficient of 0.990); a scaling factor of 0.90 can be applied to afford better correspondence between the calculated and experimental wavenumbers. At the same time, none of the methods is able to predict infrared intensities and a spectral intensity pattern.