Free Access
Issue
A&A
Volume 616, August 2018
Article Number A173
Number of page(s) 6
Section Atomic, molecular, and nuclear data
DOI https://doi.org/10.1051/0004-6361/201833223
Published online 07 September 2018

© ESO 2018

1. Introduction

Two isocyanate- (–NCO) containing compounds have been detected to date in the interstellar medium (ISM). Isocyanic acid, HNCO, was one of the first interstellar molecules (Snyder & Buhl 1972) and now it is known to be present with high abundances in a variety of Galactic sources as well as in external galaxies (see Brünken et al. 2010, and the references therein). The search for methyl derivative of the isocyanic acid, methyl isocyanate (CH3NCO), has been motivated by its identification on the frozen surface of comet 67P/Churyumov-Gerasimenko (Goesmann et al. 2015). It was followed by its detection in the high-mass star-forming regions Orion KL (Cernicharo et al. 2016) and Sagittarius (Sgr) B2 (Halfen et al. 2015; Cernicharo et al. 2016; Belloche et al. 2017) and in low-mass protostar IRAS 16293-2422 (Ligterink et al. 2017; Martín-Doménech et al. 2017) with relatively high abundances. For example, the abundance of this species in Orion KL is only a factor of ten below those of HNCO and CH3CN (Cernicharo et al. 2016). Taking into account the significant abundances of other ethyl derivatives of very abundant species in Orion KL and Sgr B2 (CH3CH2CN, CH3CH2OH, and CH3CH2OCOH), the ethyl derivative of isocyanic acid, ethyl isocyanate (CH3CH2NCO), could be thus considered as a good candidate for detection in these hot cores.

Owing to the high leOwing to the high level of line blending and line confusion in the millimeter wave spectra of high-mass star-forming regions (see, e.g., Tercero et al. 2010; Belloche et al. 2013), the identification of a new molecule in these sources has to be ensured by the detection of several features that follow the characteristic spectral pattern of the molecule (see, e.g., Tercero et al. 2015). For this reason, high-quality laboratory spectroscopy is an essential step before any astrophysical search. To date, CH3CH2NCO has been studied in the gas phase using conventional Stark-modulation spectroscopy (Sakaizumi et al. 1976) and a waveguide (Kasten et al. 1983) and molecular beam (Heineking et al. 1994) Fourier transform microwave spectroscopy. Nevertheless, these spectroscopic data do not exceed 35.5 GHz. Therefore, to avoid common problems resulting from extrapolation, new laboratory measurements up to 340 GHz have been performed. Directly measured transition frequencies together with a new set of spectroscopic constants have been used to search for CH3CH2NCO in the ISM. Results are discussed in the following sections.

2. Experimental details

The sample of liquid ethyl isocyanate was obtained commercially and was used without any further purification. The rotational spectra were recorded employing the millimeter wave spectrometer, which is based on cascaded multiplication of the primary synthesizer frequency (up to 20 GHz) by a set of active and passive multipliers. A detailed description of the spectrometer can be found in Daly et al. (2014). In this case, the millimeter wave region from 80 to 340 GHz was covered by amplifier-multiplier chains WR10.0, WR6.5, and WR9.0 (VDI, Inc) in combination with an additional frequency doubler and tripler (WR4.3, WR2.8, VDI, Inc.). The synthesizer frequency was modulated at f = 10.2 kHz with modulation depth ranging from 30 to 40 kHz. A detection system composed of either Schottky diodes or a broadband quasioptical detector (VDI, Inc) was completed by a 2 f demodulation using a phase sensitive lock-in amplifier with time constant set to 30 ms. The second derivative shape of the lines was fitted to the Gaussian profile function, and the uncertainty of the line center frequency was estimated to be better than 50 kHz for isolated well-developed lines. All the spectra were recorded in 1 GHz sections in both directions (a single acquisition cycle) and averaged. The frequency step size between adjacent data points of 30 and 50 kHz has been applied below and above 170 GHz, respectively, leading to an integration time of 19 and 32 min for a 1 GHz piece of the spectra. During the measurements, the sample of ethyl isocyanate was kept at room temperature and pressure between 10 and 20 µbar.

3. Rotational spectra and analysis

The room-temperature millimeter wave rotational spectrum of ethyl isocyanate in Fig. 1 presents an exceptionally high line density. Its analysis was started using predictions from the spectroscopic constants obtained in the previous microwave works (Heineking et al. 1994; Kasten et al. 1983; Sakaizumi et al. 1976) for the stable cis configuration. It is characterized by a relatively large dipole moment along the a inertial axis (|µa| = 2.81 D and |µb| = 0.03 D (Sakaizumi et al. 1976), Cs symmetry, and dihedral angle τ(C–C–N = C) = 0 (see Fig. 1). The identification of Ka = 0 and lower-frequency Ka = 1 transitions, originating from J0 J and J1 J energy levels, was relatively straightforward and their assignment and analysis could be easily expanded up to 340 GHz (J˝ = 64) with the help of the Loomis-Wood-type plot technique from the AABS package (Kisiel et al. 2005) and SP-FIT/SPCAT program suite (Pickett 1991). The upper-frequency Ka = 1 transitions (J1 J−1 levels), which became degenerate with Ka = 2 transitions (J2 J−1 levels) for J˝ > 45, were subsequently localized, however, their analysis quickly ran into problems. As shown in Fig. 2, significant departures from the predicted positions were observed at high J˝ even though it was clear from the Loomis-Wood-type plots that the assignments were correct. Similar situations also occurred for higher Ka transitions and with increasing value of Ka, the limit of J up to which the rotational transitions were amenable to the simple semirigid-rotor Hamiltonian analysis, was decreasing (see Fig. 2). Only those transitions that supported the semirigid-rotor treatment were retained in the analysis. These transitions were finally combined with hyperfine-free transitions (5–24 GHz, J˝ = 0−7, K˝a = 0−3) from Heineking et al. (1994) and globally fitted using Watson’s S -reduced Hamiltonian in Ir representation. The adjusted rotational and centrifugal distortion constants are given in Table 1. The list of experimental frequencies is provided in the Table 4. Finally, the deviation trends observed in the Loomis–Wood type plots, such as those in Fig. 2, were advantageously followed to measure the frequencies of more than 200 transitions that could not be encompassed in the semirigid rotor fit. These transitions are collected in the Table 5.

Apart from the ground vibrational state, three vibrational satellites could be observed in the spectrum. These satellites were assigned to three successive excitations (vt = 1, 2, 3) of C–N torsional mode νt, which is expected to be the lowest frequency mode (Durig et al. 2010; Sullivan et al. 1987; Sakaizumi et al. 1976). A torsional frequency of about 40 cm−1 can be roughly estimated from the relative intensity measurements. Considerable perturbations were also observed in the rotational spectra of these excited states and, as in case of the ground state, only the less perturbed transitions were used to obtain the spectroscopic constants in Table 1. The inertia defect values for the ground state as well as for the vt = 1, 2, 3 excited states can be found in the same table. The increase of their negative values with the vibrational quantum number corroborate the assignment of the satellite lines as belonging to an out-of-plane vibration.

thumbnail Fig. 1.

Representative 3.7 GHz segment of room-temperature millimeter wave spectrum of ethyl isocyanate illustrating its rather complex nature. Groups of a-type R-branch transitions (J = 15 ← 14) for the ground state (G.S.) and two successive excitations of the C–N torsional mode (vt = 1, 2) are marked.

thumbnail Fig. 2.

Sample Loomis-Wood-type plots of the rotational spectrum of ethyl isocyanate for Ka = 1, Ka = 6, and Ka = 13 line sequences in the ground vibrational state where sections of the experimental spectrum are plotted around the predicted positions (green vertical line) using the spectroscopic constants from Table 1. Predicted frequency is given on the left side of each plot while the lower state rotational quantum numbers J˝, K a $ {K''_a} $, and K c $ {K''_c} $ c are shown on the right side. Frequency distance from the predicted positions is given by Δv. Red filled circles mark the transition lines that are included in the present semirigid rotor Hamiltonian analysis (Table 4). Red opened circles identify perturbed transitions not included in the fit (Table 5).

Table 1.

Spectroscopic constants in the ground state and vt= 1, 2, 3 of ethyl isocyanate (S-reduction, Ir-representation).

4. Searching for ethyl isocyanate in space

Motivated by the high abundances of methyl isocyanate (CH3NCO) found in comet 67P/Churyumov-Gerasimenko (Goesmann et al. 2015), in the high-mass star-forming regions Orion KL (Cernicharo et al. 2016) and Sagittarius (Sgr) B2 (Halfen et al. 2015; Cernicharo et al. 2016), and in low-mass protostars (Ligterink et al. 2017; Martín-Doménech et al. 2017), we conducted the search for its ethyl derivative. As we pointed out previously, the perturbations found in the laboratory spectra of ethyl isocyanate prevent accurate predictions of many a-type transitions at frequencies above 150 GHz. Only a limited number of Ka = 0, 1, 2, 3 transitions could be assigned with an uncertainty below 0.1 MHz. Thus, it is not possible to search for a straightened pattern of lines at these frequencies. Therefore, in this work we focused the search for CH3CH2NCO in the 3 mm spectral window (80– 115 GHz, HPBW ∼ 30–21˝) using the public data of Orion KL and Sgr B2 collected with the Institut de Radioastronomie Millimétrique (IRAM) 30 m telescope (Tercero et al. 2010; Belloche et al. 2013).

We did not detect ethyl isocyanate above the detection limit of these data. In Table 2, upper limits to the CH3CH2NCO column density are provided and Fig. 3 shows the non-detection of this species in the considered data set. To derive these upper limits we used the MADEX code (Cernicharo 2012) introducing the new measured laboratory transitions of this work and using the Local Thermodynamic Equilibrium (LTE) approximation. The physical parameters adopted for the model were those derived by Cernicharo et al. (2016) for CH3NCO in these sources. Corrections for beam dilution were applied to each line depending on their frequency. Interestingly, we derived a column density ratio N(CH3NCO)/N(CH3CH2NCO) ≥ 10 in both sources.

Table 3 shows the relative column densities of Methyl(Met)/Ethyl(Et) of other species in Orion KL and Sgr B2. Firstly, we noted that, in addition to different chemical paths, the large disagreement of the Met/Et ratios in Orion is related to the detection of the ethyl species in spatially different components. Whereas CH2CH3CN is mainly detected in the “classical” hot core of Orion, CH3CH2OH peaks towards a position 5˝ south-west of the hot core (a similar location to the emission peak of CH3NCO) and CH3CH2OCOH emission arises from the compact ridge component, which differs both physically and chemically from the hot core (see, e.g., Cernicharo et al. 2016 and references therein for a detailed description of the Orion KL components). Nevertheless, it is worth noting that the lower limit ratio derived for Met-NCO/Et-NCO is consistent with the Met/Et ratios of O-bearing species in both sources.

Belloche et al. (2009) derived column density ratios of related species of ethyl formate (C2H5OCHO) and n-propyl cyanide (C3H7CN) in Sgr B2. Their chemical modeling for these results in Sgr B2(N) (63–64 km s−1 component) suggests that the most likely formation route for ethyl cyanide is a sequential construction of this species from their constituent functional groups on the grain surfaces. Of course, this model explains the depletion of CH3CN in hot cores in which large abundances of ethyl cyanide are found and it is consistent with the Met-CN/Et-CN ratios found in Orion KL and Sgr B2 (see Table 3). Alternatively, Belloche et al. (2009) proposed that ethyl formate is primarily formed on the grains by adding HCO or CH3 to functional-group radicals derived from methyl formate (CH3OCOH) and ethanol (CH3CH2OH). Moreover, in the chemistry of cold H addition reactions with CO in interstellar grains, methanol (CH3OH) and ethanol (CH3CH2OH) are formed by means of different precursors: H2CO and CH3CHO, respectively (see, e.g., Herbst & van Dishoeck 2009). These formation paths point out that there is not a clear connection between the abundance of the considered O-bearing methyl and ethyl species. Consequently, the derived lower limit ratio for Met-NCO/Et-NCO may suggest that the production of CH3CH2NCO is not directly linked to the presence of CH3NCO in these high-mass star-forming regions.

thumbnail Fig. 3.

Selected lines of CH3NCO and CH3CH2NCO in Orion KL and Sgr B2(N) at 3 mm. Observed data (black histogram spectrum) and total model of the source (green curve) are from Tercero et al. (2010) and Cernicharo et al. (2016) for Orion KL and Belloche et al. (2013) for Sgr B2. Model for CH3NCO is given by the blue line (Cernicharo et al. 2016). The synthetic spectrum for CH3CH2NCO corresponding to the upper limit reported in Table 2 is given by the red line. A vLSR of +9.0 and +64.0 km s−1 is assumed for Orion KL and Sgr B2, respectively.

Table 2.

Physical parameters of the considered cloud cores.

Table 3.

Methyl/ethyl ratios in Orion KL and Sgr B2.

5. Conclusions

The rotational spectrum of CH3CH2NCO has been recorded from 80 to 340 GHz and more than 1100 lines were newly assigned for the ground state and three excited vibrational states of the cis conformer. CH3CH2NCO has not been identified above the detection limit of data of the well-know high-mass star-forming regions Orion KL and Sgr B2. Finally, it has to be noted that due to the number and complexity of perturbations observed in the rotational spectra of CH3CH2NCO, some care has to be taken for predictions and further interstellar searches. Neither interpolations within the range of J and Ka values included in this work (J = 13−64 and K = 0−14) nor extrapolations to higher values are recommended and all transitions that are used for interstellar identifications should be checked against experimen tally measured frequencies collected in the Tables 4 and 5. Despite this, concerning the data given in the literature up to now, this work has led to a more profound description of the pure rotational spectrum of CH3CH2NCO and constitutes a good base for further searches for it in the ISM.

Acknowledgments

The research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Programme (FP/2007-2013) / ERC-2013-SyG, Grant Agreement n. 610256 NANOCOSMOS, Ministerio de Ciencia e Innovación (Grants CTQ2013-40717-P, CTQ2016-76393-P, AYA2012-32032, and Consolider-Ingenio 2010 CSD2009-00038 program “ASTROMOL”) and Junta de Castilla y León (VA077U16). E.R.A. thanks Ministerio de Ciencia e Innovación for FPI grant (BES-2014-067776). This work was also based on observations carried out with the IRAM 30-meter telescope. IRAM is supported by INSU/CNRS (France), MPG (Germany), and IGN (Spain).

References

  1. Belloche, A., Garrod, R. T., Müller, H. S. P., et al. 2009, A&A, 499, 215 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  2. Belloche, A., Müller, H. S. P., Menten, K. M., Schilke, P., & Comito, C. 2013, A&A, 559, A47 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  3. Belloche, A., Meshcheryakov, A. A., Garrod, R. T., et al. 2017, A&A, 601, A49 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  4. Brünken, S., Belloche, A., Martín, S., Verheyen, L., & Menten, K. M. 2010, A&A, 516, A109 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  5. Cernicharo, J. 2012, in ECLA-2011: Proceedings of the European Conference on Laboratory Astrophysics, Laboratory Astrophysics and Astrochemistry in the Herschel/ALMA Era, 58, 251 [Google Scholar]
  6. Cernicharo, J., Kisiel, Z., Tercero, B., et al. 2016, A&A, 587, L4 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  7. Daly, A., Kolesniková, L., Mata, S., & Alonso, J. 2014, J. Mol. Spectr., 306, 11 [NASA ADS] [CrossRef] [Google Scholar]
  8. Durig, J. R., Zhou, S. X., Zheng, C., & Durig, D. T. 2010, J. Mol. Struc., 971, 23 [NASA ADS] [CrossRef] [Google Scholar]
  9. Goesmann, F., Rosenbauer, H., Bredehöft, J. H., et al. 2015, Science, 349 [Google Scholar]
  10. Halfen, D. T., Ilyushin, V. V., & Ziurys, L. M. 2015, ApJ, 812, L5 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  11. Heineking, N., Grabow, J.-U., & Stahl, W. 1994, Mol. Phys., 81, 1177 [NASA ADS] [CrossRef] [Google Scholar]
  12. Herbst, E., & van Dishoeck, E. F. 2009, ARA&A, 47, 427 [NASA ADS] [CrossRef] [Google Scholar]
  13. Kasten, W., Dreizler, H., & Andresen, U. 1983, J. Mol. Struc., 97, 221 [NASA ADS] [CrossRef] [Google Scholar]
  14. Kisiel, Z., Pszczółkowski, L., Medvedev, I. R., et al. 2005, J. Mol. Spectr., 233, 231, http://www.ifpan.edu.pl/~kisiel/aabs/aabs.htm#aabs [NASA ADS] [CrossRef] [Google Scholar]
  15. Ligterink, N. F. W., Coutens, A., Kofman, V., et al. 2017, MNRAS, 469, 2219 [NASA ADS] [CrossRef] [Google Scholar]
  16. López, A., Tercero, B., Kisiel, Z., et al. 2014, A&A, 572, A44 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  17. Martín-Doménech, R., Rivilla, V. M., Jiménez-Serra, I., et al. 2017, MNRAS, 469, 2230 [NASA ADS] [CrossRef] [Google Scholar]
  18. Pickett, H. M. 1991, J. Mol. Spectr., 148, 371 [NASA ADS] [CrossRef] [Google Scholar]
  19. Sakaizumi, T., Yamada, O., Ushida, K., Ohashi, O., & Yamaguch, i. I. 1976, Bull. Chem. Soc. Japan, 49, 2908 [CrossRef] [Google Scholar]
  20. Snyder, L. E., & Buhl, D. 1972, ApJ, 177, 619 [NASA ADS] [CrossRef] [Google Scholar]
  21. Sullivan, J. F., Durig, D. T., Durig, J. R., & Cradock, S. 1987, J. Phys. Chem., 91, 1770 [CrossRef] [Google Scholar]
  22. Tercero, B., Cernicharo, J., Pardo, J. R., & Goicoechea, J. R. 2010, A&A, 517, A96 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  23. Tercero, B., Cernicharo, J., López, A., et al. 2015, A&A, 582, L1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]

All Tables

Table 1.

Spectroscopic constants in the ground state and vt= 1, 2, 3 of ethyl isocyanate (S-reduction, Ir-representation).

Table 2.

Physical parameters of the considered cloud cores.

Table 3.

Methyl/ethyl ratios in Orion KL and Sgr B2.

All Figures

thumbnail Fig. 1.

Representative 3.7 GHz segment of room-temperature millimeter wave spectrum of ethyl isocyanate illustrating its rather complex nature. Groups of a-type R-branch transitions (J = 15 ← 14) for the ground state (G.S.) and two successive excitations of the C–N torsional mode (vt = 1, 2) are marked.

In the text
thumbnail Fig. 2.

Sample Loomis-Wood-type plots of the rotational spectrum of ethyl isocyanate for Ka = 1, Ka = 6, and Ka = 13 line sequences in the ground vibrational state where sections of the experimental spectrum are plotted around the predicted positions (green vertical line) using the spectroscopic constants from Table 1. Predicted frequency is given on the left side of each plot while the lower state rotational quantum numbers J˝, K a $ {K''_a} $, and K c $ {K''_c} $ c are shown on the right side. Frequency distance from the predicted positions is given by Δv. Red filled circles mark the transition lines that are included in the present semirigid rotor Hamiltonian analysis (Table 4). Red opened circles identify perturbed transitions not included in the fit (Table 5).

In the text
thumbnail Fig. 3.

Selected lines of CH3NCO and CH3CH2NCO in Orion KL and Sgr B2(N) at 3 mm. Observed data (black histogram spectrum) and total model of the source (green curve) are from Tercero et al. (2010) and Cernicharo et al. (2016) for Orion KL and Belloche et al. (2013) for Sgr B2. Model for CH3NCO is given by the blue line (Cernicharo et al. 2016). The synthetic spectrum for CH3CH2NCO corresponding to the upper limit reported in Table 2 is given by the red line. A vLSR of +9.0 and +64.0 km s−1 is assumed for Orion KL and Sgr B2, respectively.

In the text

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.