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ORIGINAL RESEARCH article

Front. Astron. Space Sci., 06 February 2026

Sec. Astrochemistry

Volume 12 - 2025 | https://doi.org/10.3389/fspas.2025.1664349

This article is part of the Research TopicSeeing that Which Remains Hidden: Tracer and Proxy Species in AstrochemistryView all 6 articles

A gas-phase “top-down” chemical link between aldehydes and alcohols

  • 1Department of Chemistry, Virginia Military Institute, Lexington, VA, United States
  • 2Departamento de Astrofısica Molecular, Instituto de Fısica Fundamental CSIC, Madrid, Spain
  • 3Department of Chemistry, University of Virginia, Charlottesville, VA, United States
  • 4National Radio Astronomy Observatory, Charlottesville, VA, United States

Introduction: Alcohols and aldehydes represent two key classes of interstellar complex organic molecules (COMs). This work seeks to better understand their possible chemical connections, with a focus on such molecules in the sources of the star-forming region Sgr B2 (N).

Methods: The gas-phase reaction between ethanol (CH3CH2OH) and the halogens fluorine and chlorine was investigated via DFT calculations, with the goal of determining whether astrochemically viable chemical pathways leading to acetaldehyde (CH3CHO) exist. The studied reactions were then included in an astrochemical model of Sgr B2 (N) to determine their significance under real interstellar conditions.

Results: Our DFT calculations revealed that both chlorine and fluorine can react barrierlessly with ethanol to abstract a hydrogen atom. We further found that, following this initial step, the resulting ethanol radicals can undergo further reactions with atomic hydrogen, with some routes leading to acetaldehyde. Incorporation of these novel reactions in astrochemical models of hot cores suggest that they are indeed efficient under those conditions, and can lead to modest increases in the abundance of CH3CHO during model times where gas-phase ethanol is abundant. Of the ethanol radicals included in our chemical network, we found CH3CHOH to have the highest abundances in our simulations comparable to that of ethanol at some model times.

Discussion: Overall, this work reveals a novel gas-phase “top-down” link from alcohols to aldehydes that compliments the better studied “bottom-up” routes involving grain-surface H-addition reactions yielding alcohols from aldehydes. Moreover, results from our astrochemical models suggest that the ethanol radical CH3CHOH may be detectable in the interstellar medium.

1 Introduction

Hot cores, especially those found towards the Galactic Center in the Sagittarius (hereafter Sgr) B2 (N) complex, are known to be some of the most chemically rich interstellar sources (Belloche et al., 2013; Bonfand et al., 2019; Neill et al., 2014; Loomis et al., 2013; Zaleski et al., 2013). The reason for this complexity is manyfold, though significant factors include the fact that the higher temperatures obtained during core warmup liberate existing complex organic molecules (COMs) already present in dust-grain ice mantles out to the grain surfaces and into the gas-phase (Yang et al., 2022; McClure et al., 2023). This enables a comparatively brief but active period of surface chemistry due to the enhanced mobility of surface species heavier than hydrogen (Garrod et al., 2008; Ioppolo et al., 2020; Qasim et al., 2020).

Underscoring this chemical complexity is the fact that molecules bearing most of the functional groups in organic chemistry have now been detected (McGuire, 2018), with many more being detected annually. Of these, two of the most important and common are alcohols and aldehydes, having R-OH and R-CHO groups, respectively, where R could be any other part of the molecule. One of the essential tasks in astrochemistry is investigating possible chemical connections between detected molecules. Alcohols and aldehydes hold a crucial cornerstone in the evolution of chemical complexity in the ISM, bearing two of the most chemically ubiquitous functional groups. To this end, a number of studies have focused on the chemical connections between alcohols and aldehydes, for example, the theoretical studies of Woon (2002), Rimola et al. (2014), Das et al. (2008), Song and Kästner (2017) and Mondal et al. (2021), as well as the experimental work by Qasim et al. (2019) and Hiraoka et al. (1998). Most of these studies envisioned the formation of the alcohol from the aldehyde via successive reactions with atomic hydrogen on grain surfaces, which represents a “bottom-up” chemical link between the two. This hypothesis is supported by the easy hydrogenation of formaldehyde H2CO to methanol CH3OH (Watanabe and Kouchi, 2002).

While the “bottom-up” route is well supported for methanol and formaldehyde, the picture is more complicated for acetaldehyde and ethanol. Recent computational works suggest that grain-surface formation routes of acetaldehyde are likely to be unfavorable (Perrero et al., 2023). This, combined with the presence of acetaldehyde in cold prestellar cores (Scibelli and Shirley, 2020), points to the main mechanisms of acetaldehyde formation potentially being in the gas-phase (Vazart et al., 2020). Further complicating the bottom-up scenario, results from recent quantum chemical calculations by Molpeceres et al. (2025) suggest that acetaldehyde, at least, is resistant to further hydrogen addition, complicating the bottom-up scenario.

Another possible chemical link between alcohols and aldehydes is a “top-down” route where alcohols are converted to aldehydes through successive hydrogen abstractions. To further investigate the role of gas-phase formation, it is this chemical route that this work seeks to address through a combination of ab initio quantum chemical calculations and astrochemical modeling of Sgr B2(N). However, rather than assuming a series of reactions with, initially, the alcohol with H, we instead assume the initiating co-reactant are the halogen atoms Cl and F in the gas-phase. This choice was motivated in part by the observation by Balucani et al. (2015) of the increased reactivity of these species compared with H. Both HCl and HF have been detected towards Sgr B2 (Zmuidzinas et al., 1995; Neufeld et al., 1997), with observed fractional abundances that exist in the ranges of 1010109 relative to molecular hydrogen. The contributions of chlorine and fluorine chemistry in the context of astrochemical models have previously been studied in various interstellar environments in Acharyya and Herbst (2017), wherein they include reactions of methanol with atomic F and Cl, which can result in either the CH3O or CH2OH radical. In the case of the latter, the CH2OH can react further with a chlorine atom to produce formaldehyde in the “top-down” fashion, but reactions including ethanol were not investigated (Acharyya and Herbst, 2017).

The rest of this paper is structured as follows: in Section 2 we describe our approaches for both the quantum calculations and the astrochemical modeling, in Section 3 we present the results of this work, and finally, we summarize our findings in Section 4.

2 Methods

2.1 Quantum chemical calculations

We determined the outcome of the H-abstraction reactions with fluorine, shown in Equation 1, and chlorine, shown in Equation 2:

CH3CH2OH+F(1)
CH3CH2OH+Cl(2)

using quantum chemical calculations. The first step is to determine the stationary points in each of the potential energy surface (PES) (Section 2.1.1) for the different reaction channels, namely:

CH3CH2OH+F>CH2CH2OH+HF(3)
CH3CH2OH+F>CH3CH2O+HF(4)
CH3CH2OH+F>CH3CHOH+HF(5)
CH3CH2OH+Cl>CH2CH2OH+HCl(6)
CH3CH2OH+Cl>CH3CH2O+HCl(7)
CH3CH2OH+Cl>CH3CHOH+HCl(8)

Later, we derive the corresponding bimolecular rate constants of each of the reaction channels (Section 2.1.2), that we later introduce in the kinetic models of Sgr B2 (N).

2.1.1 Characterization of stationary points

All geometries were optimized using density functional theory (DFT) with the double-hybrid functional rev-DSD-PBEP86(D4) (Kozuch and Martin, 2011; Santra et al., 2019; Caldeweyher et al., 2019), in combination with the cc-pCVTZ basis set (Hill et al., 2010), which includes functions designed to account for core–valence correlation. Zero-point vibrational energy (ZPVE) corrections were computed within the harmonic approximation by numerical differentiation of the gradient. To obtain more accurate energetics, we refined the energy of each stationary point at the CCSD(T)/cc-pCVTZ level (Raghavachari et al., 1989; Bartlett et al., 1990; Hill et al., 2010) using an unrestricted Hartree-Fock (UHF) reference wavefunction (Neese, 2000). All calculations, including geometry optimizations, ZPVE corrections, and single-point energy refinements, were performed correlating all electrons, i.e., without applying the frozen-core approximation. All our electronic structure calculations employ the Orca package (v.6.0.0) (Neese et al., 2020; Neese, 2022).

To investigate the reactivity of each distinct hydrogen atom in ethanol, we performed exploratory PES scans along well-defined reaction coordinates, followed by full optimization of the resulting stationary points. All reactions were modeled (Section 2.1.2) within a general mechanistic framework involving two van der Waals complexes: one preceding the hydrogen abstraction (pre-reactive complex, PRC) and one following it (post-reactive complex). This scheme was applied to all possible hydrogen abstraction pathways, regardless of whether the corresponding transition states (TS) were submerged. The only exception was the set of reactions CH3CH2OH+F/ClCH3CHOH+HF/HCl, where PES scans were inconclusive, suggesting a barrierless abstraction mechanism with no PRC on the electronic energy surface at the rev-DSD-PBEP86(D4)/cc-pCVTZ level. To assess whether these reactions truly proceed without an activation barrier, as proposed in previous studies (Taketani et al., 2005), we carried out nudged elastic band (NEB) calculations (Henkelman et al., 2000) to confirm a strictly downhill energy profile. The NEB paths were discretized into 24 images including endpoints and computed using the Knarr module of the Ash library (Asgeirsson et al., 2021; Bjornsson, 2022).

2.1.2 Kinetic calculations

We compute phenomenological rate constants for all bimolecular channels considered in this study using an ab initio transition state theory master equation (AITSTME) framework. Barrierless processes, such as capture into a pre-reactive complex (PRC) or into a product-side van der Waals (vdW) complex, as discussed above, and the escape from product vdW complexes are modeled using phase space theory (Pechukas and Light, 1965; Chesnavich, 1986). The rigid scans for these barrierless association and dissociation channels are performed at the spin component scaled MP2 (SCS-MP2) level (Grimme et al., 2012) with the aug-cc-pVTZ basis set (Kendall et al., 1992), starting from the corresponding stationary point on the potential energy surface (on the pre-optimized geometries using the double hybrid functional). The scans extend from 4 Å to 15 Å to capture the long range asymptotic behavior of the interactions. This last set of calculations were carried out within the frozen core approximation. The resulting scan energies are fitted to a potential of the form V(r)=C/rn, with n=6 for entrance channels and n=5 for exit channels. The choice of using a fit with n=5 stems from the change in the nature of the interaction once HF or HCl are formed. While the entrance channel corresponds to an atom–molecule interaction well described by an r6 dependence, the exit channels are dominated by dipole–dipole interactions, better represented by an r5 behavior. In fact, the large dipole moment of HF (or HCl) can make some exit channels even better reproduced by an n=4 dependence. Nevertheless, we retain n=5 for consistency, since the kinetics of the reaction of interest are mainly governed by the capture event, for which the r6 fit provides a good description in all cases (Figure 1). In cases where a barrier exists between the PRC and the product vdW complex, the interwell transition is modeled using RRKM theory, including tunneling corrections based on asymmetric Eckart transmission coefficients. To avoid numerical instabilities arising from vibrational entropy contributions, all vibrational frequencies of weakly bound complexes below 100 cm1 are raised to that threshold. The elementary rate constants and the resulting phenomenological rate constants for the full process are calculated using the Mess code (Georgievskii et al., 2013), across a temperature range of 30–500 K and at a residual pressure of 1×107 atm, low enough to prevent collisional relaxation of the PRC and product vdW complexes. Finally, in a first approximation we consider that all reactions take place in the lowest conformer of ethanol, that is, we do not consider a multistate (or multiconformer) treatment of the reaction (Zheng and Truhlar, 2012).

Figure 1
Six graphs display energy change (\( \Delta E \)) against scan distance for fluorine (F) and chlorine (Cl) at three different entrances. In the top row, graphs for fluorine show decreasing \( \Delta E \) values with varying \( C_6 \) coefficients: 41.45, 149.09, and 45.22 a.u. In the bottom row, graphs for chlorine also show decreasing \( \Delta E \) with \( C_6 \) coefficients: 215.81, 390.83, and 119.25 a.u. Each graph demonstrates similar trends of energy reduction over distance.

Figure 1. Capture rigid scans leading to PRCs or VDW complexes, see text. In the legend we show the value of the capture coefficient C6. The scans are not ZPE corrected.

The phenomenological rate constants are later fitted to a typical 3-parameter Arrhenius-Kooij formula of the type:

k=αT300KβexpγT(9)

where α is the pre-exponential factor for the rate coefficient, β gives the temperature dependence, and γ is the energy barrier. The resulting fits to this equation for reactions Equations 38 are described below.

2.1.3 Avenues for the improvement of the quantum chemical calculations

The model chemistry employed in our electronic structure calculations is sufficiently accurate for the purposes of this study. Nevertheless, several refinements could be implemented to achieve a fully quantitative description of the reactions, particularly at higher temperatures where finite-temperature effects may influence the kinetics. Possible improvements include going beyond the harmonic approximation to account for anharmonic vibrational frequencies, explicitly considering ethanol conformational effects, or introducing methodological refinements to the model chemistry, such as enlarging the basis set. The kinetic treatment could also be improved by moving beyond a one-dimensional zero-curvature tunneling correction to more accurately capture corner-cutting effects (Nandi et al., 2022). Finally, the most immediate avenue for improvement would be a more accurate description of the capture event in the barrierless channels, since capture theory is known to overestimate the capture rate constant (Marchione et al., 2022; Tsikritea et al., 2022).

2.2 Astrochemical modeling

In order to estimate the efficiency of the studied reactions under real astrophysical conditions, astrochemical models were run. For this, the nautilus v1.1 code was used (Ruaud et al., 2016). The physical conditions used in the model, shown in Table 1, were chosen to replicate those of Sgr B2 (N). Briefly, a three-phase (gas, grain surface, and grain bulk) three stage (collapse, warm up, and constant physical conditions) model was employed to simulate the collapse of a prestellar cloud and the formation of a hot core (Garrod, 2013). The initial physical conditions at the beginning of collapse include an AV of 0.3, density of 103 cm3. The collapse stage has a duration of 8×105 yr, at the end of which the model reaches a density of 108 cm1, as shown in Figure 2. During the collapse, the gas temperature was held at a constant value of 10 K and the grain temperature, which starts at 15 K, becomes coupled to the gas temperature of 10 K by the end of this first stage, which can be seen in Figure 3. A cosmic ray ionization rate of ζ=1.3×1016 s1 was used for all stages to account for the enhanced cosmic ray flux in the Galactic Center, which is likely at least one order of magnitude greater than the standard value of 1017 s1 (Goto, 2013).

Table 1
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Table 1. Physical parameters used in all astrochemical models. Note: the parameter α is the chemical desorption efficiency (Garrod et al., 2007).

Figure 2
Graph showing particle density over time on a logarithmic scale. Density (particles per cubic centimeter) is on the vertical axis from 10^3 to 10^9, and time (years) is on the horizontal axis from 10^4 to 10^7. The graph shows a gradual increase, then a rapid rise near 10^6 years.

Figure 2. Density evolution profile.

Figure 3
Graph showing temperature in Kelvin versus time in years on a logarithmic scale. A blue solid line represents gas and a red dashed line represents grain. Both lines are constant until they sharply rise near 10^6 years, stabilizing at 400 Kelvin.

Figure 3. Gas and grain temperature evolution profiles.

Following the collapse stage, a warm up occurs, during which the density and AV remain constant while, as shown in Figure 3, the gas and grain temperatures rise to 400 K over a period of 106 yr. Finally, after the warm up stage, the model continues with static physical conditions until a total model time of 107 yr is obtained.

Initial elemental abundances were taken from Laas and Caselli (2019), and correspond to known cosmic standard elemental abundances. The full table of values is given in Laas and Caselli (2019), but we note in particular an initial chlorine abundance of 2.88×107 relative to hydrogen (Esteban et al., 2004) and fluorine abundance of 3.63×108 relative to hydrogen (Asplund et al., 2009). These values differ slightly from those used in Acharyya and Herbst (2017), which used initial abundances relative to hydrogen of 1×107 and 1.8×108 of chlorine and fluorine, respectively. To determine if the differences in initial abundances will affect the overall chemistry, additional models were run with starting with initial abundances of 107 and 1.8×108 for chlorine and fluorine, respectively.

The base chemical network used here is that of Byrne et al. (2024), developed for work by the GOTHAM (GBT Observations of TMC-1 Hunting Aromatic Molecules) project. To this was added reactions (3)–(8), in addition to a number of destruction paths for the ethanol radicals with H, OH, and NH2. The destruction reactions with H added to our network are given in Equations 1015, namely,

CH3CHOH+H>CH3CHO+H2(10)
CH3CH2O+H>CH3CHO+H2(11)
CH3CH2OH+H>CH3CHO+H2(12)
CH3CHOH+H>CH4+H2O(13)
CH3CH2O+H>CH4+H2CO(14)
CH3CH2OH+H>CH4+H2CO.(15)
Equations 1621 show those with OH,
CH3CHOH+OH>CH3CHO+H2O(16)
CH3CH2O+OH>CH3CHO+H2O(17)
CH3CH2OH+OH>CH3CHO+H2O(18)
CH3CHOH+OH>CH3OH+H2CO(19)
CH3CH2O+OH>CH3OH+H2CO(20)
CH3CH2OH+OH>CH3OH+H2CO.(21)

Finally, Equations 2227 give the destruction reactions with NH2, which are as follows:

CH3CHOH+NH2>CH3CHO+NH3(22)
CH3CH2O+NH2>CH3CHO+NH3(23)
CH3CH2OH+NH2>CH3CHO+NH3(24)
CH3CHOH+NH2>CH3NH2+H2CO(25)
CH3CH2O+NH2>CH3NH2+H2CO(26)
CH3CH2OH+NH2>CH3NH2+H2CO.(27)

All of the above destruction reactions were assumed to occur barrierlessly at the collisional rate of 1010 cm3 s1, split between the two product channels, corresponding to H abstraction (in the case of reactions leading to acetaldehyde) vs. attack of the alpha carbon. Our choice of rate coefficient is a typical approximate value for barrierless bimolecular gas-phase reactions without significant long-range forces, though follow up studies of these reactions are needed to confirm this choice, a task beyond the scope of this work. If these destruction reactions prove to be less efficient, the abundance of the intermediate radicals would be higher, which would have implications related to their detectability as described below. If the reverse is true, then the chemical connections between alcohols and aldehydes is further strengthened. Either outcome would be of astrochemical interest.

3 Results and Discussion

3.1 Quantum chemical results

3.1.1 CH3CH2OH + F

The PES profiles for H abstraction by fluorine at the three inequivalent positions are shown in Figure 4. A quick inspection of the graph reveals that all hydrogen abstraction reactions with fluorine (Reactions 3, 4, and 5) are barrierless with respect to the reaction asymptote CH3CH2OH+F. It is important to note, however, that each reaction is barrierless for a different reason. In the case of Reaction 3, we located a TS on the electronic energy surface (that is, without ZPVE correction) at less than 1.0 kcal mol1. This shallow barrier disappears upon application of ZPVE. We therefore consider this reaction to be effectively barrierless, proceeding directly toward the van der Waals product complex (VDW1 in Figure 4). Nevertheless, a small barrier might still be present if more accurate electronic structure methods were used to determine the stationary point energies. For Reaction 4, the barrierless character originates from the submersion of the TS below the reactant asymptote. This is due to the stabilization of the PRC, located at approximately 3.6 kcal mol1, which consequently lowers the energy of the TS as well. Finally, Reaction 5 is the only case that is entirely barrierless, displaying a strictly downhill energy profile on the electronic PES. This behavior is confirmed by the NEB calculations described in Section 2.1.1.

Figure 4
Reaction energy diagram showing the potential energy changes of a reaction involving ethanol and fluorine. Energy levels in kilocalories per mole are marked for intermediate and final states, labeled from 0.0 at the starting materials to -43.0 for the final products. Transition states and intermediates such as PRC2 and TS2 are labeled with their respective energy changes. Molecular structures are depicted at each stage.

Figure 4. Potential energy profiles for the three abstraction channels in the CH3CH2OH+F reaction. All energies are ZPVE corrected.

The PES profiles shown in Figure 4 provide a useful framework to interpret the kinetics of these reactions. The corresponding rate constants are presented in Figure 5 (top panel). Both Reactions 3 and 5 exhibit clearly barrierless behavior, with only a minor dependence on temperature. We attribute this slight temperature dependence to the small enhancement of the final step, VDW Product, at higher temperatures. In contrast, Reaction 4 shows anti-Arrhenius behavior, which is typically observed in barrierless reactions where the redissociation from the PRC back to reactants becomes increasingly significant at higher temperatures.

Figure 5
Two graphs show the rate constant \( k \) (\( \times 10^{-10} \, \text{cm}^3 \, \text{s}^{-1} \)) versus temperature \( T \) (K). The top graph compares reactions \( \text{CH}_2\text{CH}_2\text{OH} + \text{HF} \) (blue), \( \text{CH}_3\text{CH}_2\text{O} + \text{HF} \) (green), and \( \text{CH}_3\text{CHOH} + \text{HF} \) (black). The bottom graph compares the same species with HCl. Insets detail low values, highlighting differences in rates across temperature ranges.

Figure 5. Reaction rate constants for the H-abstraction reactions of CH3CH2OH with F (Top panel) and Chlorine (bottom panel).

3.1.2 CH3CH2OH + Cl

The CH3CH2OH+Cl reaction is slower than its fluorine analogue. This fact follows directly from the PES cuts in Figure 6. Among the three abstraction pathways, only Reaction 8 is truly barrierless, as confirmed by an NEB calculation, exactly as for the corresponding F reaction. The remaining pathways, Reactions 6 and 7, display well defined TSs above the reactant asymptote, which strongly diminish their rates. The absolute PES profile agrees closely with earlier work on this system (Taketani et al., 2005). It reproduces both the small exothermicity of Reaction 6 and the endothermicity of Reaction 7, the latter making that channel relevant only at high temperature. PRC1 (Reaction 6) and PRC2 (Reaction 7) show inverted stability with respect to their products CH2CH2OH and CH3CH2O. PRC2 is stabilised by H bonding between the hydroxyl group of CH3CH2OH and the Cl atom, making it the most stable PRC in this study and even more stable than PRC2 of Reaction 4. Such deep stabilisation raises the overall barrier for Reaction 7, leading to very slow kinetics. By contrast, Reaction 6 has a much lower barrier; although slower than the barrierless channel (Reaction 8), its rate constants exceed those of Reaction 7 by several orders of magnitude at low temperature. The stabilization of PRC2, in principle, leads to competition between back-dissociation to the reactants and evolution through a roaming mechanism toward VDW3, ultimately forming CH3CHOH+HCl. Our simplified kinetic scheme does not take roaming into account, which may result in an underestimation of the overall rate constant. However, this approximation partially compensates for the possible presence of sub-kcal mol1 activation barriers for reaction 8, which would otherwise artificially enhance the calculated rate at low temperatures.

Figure 6
Reaction energy profile diagram showing the potential energy changes (ΔU in kcal per mol) for the reaction of ethanol (CH₃CH₂OH) with chlorine. The diagram includes transition states (TS1 and TS2) and intermediate complexes (PRC1, PRC2, VDW1, VDW2, and VDW3) at specific energy levels. Molecular structures are depicted at each stage, illustrating the changes in the reaction pathway from reactants to products, such as the formation of CH₃CH₂O and HCl.

Figure 6. Potential energy profiles for the three abstraction channels in the CH3CH2OH+Cl reaction. All energies are ZPVE corrected.

Looking at the rate constants for the CH3CH2OH+Cl reaction, shown in Figure 5 (bottom panel), we observe that, in contrast to the case with fluorine, the reactivity is entirely dominated by the channel corresponding to Reaction 8. This is unsurprising given its barrierless nature. However, although irrelevant for the overall kinetics, we also find that the gap in rate constants between Reactions 6 and 7 decreases with increasing temperature, and the two channels converge at high temperature. This unexpected trend can be rationalised by a combination of two effects. First, the greater thermal energy at high temperature makes the endothermic CH3CH2O+HCl channel (Reaction 7) accessible, while it is effectively closed at low temperature. Second, the higher imaginary frequency of the TS in Reaction 7 (2013i) compared to that of Reaction 6 (1042i) enhances the tunneling efficiency, as this frequency can be taken as an estimate of the crossover temperature for tunneling (Gillan, 1987), which is significantly higher for Reaction 7. Nonetheless, as noted above, this behaviour does not affect the global kinetics, since both Reactions 6 and 7 remain minor channels compared to the dominant Reaction 8.

3.1.3 Comparison between reactions with fluorine and chlorine

The comparison between the two reactions studied in this work reveals fundamental differences between H abstraction by fluorine and by chlorine, which are worth highlighting to guide further chemical interpretation. As expected from basic principles of inorganic chemistry, fluorine is overall more reactive than chlorine. However, in this case we can quantify the effect. Considering the sum of all reaction channels at low temperatures 8.85×1010 cm3 s1, we find that the total rate constant for the fluorine system is approximately a factor 2–3 (2.8) larger than that for chlorine. The anti-Arrhenius behavior of Reaction 4, together with a slightly faster capture efficiency in Reaction 8 compared to Reaction 5 prevent the system from reaching the theoretical factor of three that would be expected based solely on the number of barrierless channels. It is also worth noting that while all reactions involving H abstraction by fluorine are strongly exothermic, this is not the case for chlorine, which shows much lower exothermicities and even endothermic channels at low temperatures, as in the case of Reaction 7. This difference suggests caution when extrapolating the behavior of chlorine to other systems or when proposing new H-abstraction reactions involving chlorine.

3.2 Astrochemical modeling

In Table 2 we show the values of the Arrhenius-Kooij parameters used to introduce the halogen-mediated H-abstraction reactions considered in Section 3.1. Calculated abundances for acetaldehyde (CH3CHO) for our three-stage model of Sgr B2(N) are shown in Figure 7. Shown in yellow are results from our “control” model, which uses the unmodified network of Byrne et al. (2024) without any of the new reactions mentioned in this work.1 The blue curve in the figure gives the model results using our newly expanded chemical network. A comparison of the two shows that they are largely the same, save for a noticeable increase in acetaldehyde abundance around a model time of 106 yr.

Table 2
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Table 2. Fitted parameters of Equation 9 for the reactions considered in our quantum chemical calculations. The fit is performed for the rate constants derived between 30 and 500 K.

Figure 7
Line graph showing the ratio \(n(x)/n(H_2)\) over time in years. The black line represents control, the blue line high metal, and the red line low metal. The curves show varying peaks and trends, with the low metal condition reaching the highest peak before decreasing. Numerical values are on logarithmic scales, with \(n(x)/n(H_2)\) on the left and \(N(x)\) in centimeters squared on the right.

Figure 7. Abundances of CH3CHO in our three-stage warmup model. Shown in black is the control model without the new reactions. Models including the new reactions are given in blue (high metal abundances) and red (low metal abundances).

To examine the effect of variations in initial Cl and F abundances, we ran a model using the lower initial abundances for chlorine and fluorine of, respectively, 107 and 1.8×108 relative to hydrogen. These values have been used in previous investigations of halogen astrochemistry by, e.g., Neufeld et al. (2005) and Acharyya and Herbst (2017). As can be seen in Figure 7, the reduced halogen abundances have only a minor influence on the time-dependent abundances of CH3CHO, with the peak abundance remaining unchanged. The increase in acetaldehyde abundance provides a clue as to the underlying chemistry. The likely answer is implied in Figure 8. Around 106 yr in the model, the gas (and dust) temperature is roughly 175 K, as shown in Figure 3. It is at this point that ethanol, which has hitherto been trapped mostly on grains, is efficiently liberated into the gas. This occurrence becomes the occasion for our new reactions to show their utility, when the desorbed ethanol begins reacting with F and Cl to produce the three ethanol radicals. Of the three, CH3CHOH is the most abundant, reaching approximately the abundance of its ethanol precursor from a few times 105 to 106 yr.

Figure 8
Graph showing the temporal evolution of methanol, acetaldehyde, ethanol, ethylene oxide, and acrylic acid abundances relative to hydrogen over three million years. Lines in black, blue, red, green, and pink represent these compounds, respectively. The left y-axis shows abundance ratios, while the right y-axis shows column density in square centimeters.

Figure 8. Abundances of CH3CH2OH, CH3CHOH, CH3CH2O, CH2CH2OH, and CH3CHO in our new model. Results shown here are for the high metal abundance model.

In previous work done investigating the role of fluorine and chlorine in the chemistry of various interstellar environments (including hot cores), Acharyya and Herbst (2017) included a system of F and Cl reactions in their chemical network, including those where atomic F and Cl react with methanol. From Table 2 and Figure 5, we find that the temperature-dependent rate constants for reactions 38 reach into the range of 10135×1010 cm3 s1. Comparing these to the chlorine and fluorine reactions with methanol, as summarized in Acharyya and Herbst (2017), the ethanol pathways show a slight increase in reactivity. The most favourable pathway for the methanol-halogen reactions is found in the CH3OH+F channel resulting in CH2OH, with a rate constant of k=1.66×1010 cm3 s1 (Jodkowski et al., 1999).

Despite reactions 6 and 7 not having rate constants reaching as high of values and exhibiting clear barriers, the remaining four reactions all have peak values that are at least a factor of 2 larger than their methanol counterparts Acharyya and Herbst (2017). Furthermore, reactions 3 and 8 both share similar peak values, combined with their overall barrierless nature, this suggests that both chlorine and fluorine can efficiently contribute to the presence of the CH3CHOH radical.

Our calculated abundance presents the interesting possibility for the detection of CH3CHOH in interstellar environments, however, to the best of our knowledge, no laboratory spectrum for this species exists, though a recent study by Williams et al. (2021) did report calculations of relative energetics. Measured laboratory spectra generally provide a more reliable basis for astronomical searches than theoretically calculated spectra. We estimate that the strongest predicted transitions may appear in the radio to centimeter range (typical of cold dark clouds) or in the millimeter to submillimeter range (typical of hot molecular cores). Given its structural similarity to both CH3CH2OH and CH2CHOH - two well-characterized interstellar molecules—it is plausible that the CH3CHOH radical is also present in astronomical environments. Completing the connection, the ethanol radicals, once formed, react with predominantly H to yield the spike in acetaldehyde abundance observed in Figure 7. Thus, our model results show that, in times and places where gas-phase ethanol is present, our new destruction reactions with halogens represent efficient pathways linking alcohols and aldehydes.

4 Conclusion

In this work, we have investigated a new chemical link between alcohols and aldehydes through use of quantum chemistry paired with astrochemical models. Specifically, rather than focusing on a “bottom-up” formation route involving H-addition to grain-surface aldehydes, we here investigated a “top-down” route involving an initial reaction of an alcohol, in this case ethanol, with the halogens chlorine and in the gas phase. We find that, in particular, the formation of CH3CHOH by this route is efficient, owing to barrierless reaction pathways, and subsequent gas-phase H-abstraction could efficiently yield acetaldehyde in cases where gas-phase ethanol is abundant. An examination of the calculated abundances of our models including these new reactions predicts peak abundances of CH3CHOH comparable with that of the parent species ethanol, which was initially detected in Sgr B2 by Zuckerman et al. (1975). This finding suggests that CH3CHOH may likewise represent a potential target for future studies in this or similar sources, though to our knowledge there is no spectroscopic data on this species.

There exist many potential future directions for this work. Firstly, further study of the subsequent reactions of the ethanol radicals is warranted. Moreover, experimental and theoretical studies of this and similar systems could verify whether or not this reaction route with halogens is accessible for a broad range of alcohols.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Author contributions

CS: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review and editing. GM: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review and editing. AF: Conceptualization, Methodology, Writing – original draft, Writing – review and editing. DW: Investigation, Software, Visualization, Writing – original draft, Writing – review and editing. ES: Investigation, Writing – original draft, Writing – review and editing. AR: Conceptualization, Investigation, Supervision, Writing – original draft, Writing – review and editing.

Funding

The author(s) declared that financial support was received for this work and/or its publication. The National Radio Astronomy Observatory and Green Bank Observatory are facilities of the U.S. National Science Foundation operated under cooperative agreement by Associated Universities, Inc. CS, DW, and ES gratefully acknowledge support through the Virginia Military Institute’s Summer Undergraduate Research Institute (SURI) program. GM acknowledges the support of the grant RYC2022-035442-I funded by MCIU/AEI/10.130 39/501100011033 and ESF+. GM also received support from project 20245AT016 (Proyectos Intramurales CSIC). We acknowledge the computational resources provided by the DRAGO computer cluster managed by SGAI-CSIC, and the Galician Supercomputing Center (CESGA). The supercomputer FinisTerrae III and its permanent data storage system have been funded by the Spanish Ministry of Science and Innovation, the Galician Government and the European Regional Development Fund (ERDF).

Acknowledgements

CS thanks A. Byrne for compiling the model inputs used as a starting point for those used in this work.

Conflict of interest

The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Footnotes

1https://zenodo.org/records/13257329

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Keywords: alcohols, aldehydes, astrochemical modeling, astrochemistry, DFT, halogens, Sgr B2

Citation: Shingledecker CN, Molpeceres G, Flowers AM, Warren D, Stanley E and Remijan A (2026) A gas-phase “top-down” chemical link between aldehydes and alcohols. Front. Astron. Space Sci. 12:1664349. doi: 10.3389/fspas.2025.1664349

Received: 11 July 2025; Accepted: 03 December 2025;
Published: 06 February 2026.

Edited by:

Ryan C. Fortenberry, University of Mississippi, United States

Reviewed by:

Kotomi Taniguchi, National Astronomical Observatory of Japan (NAOJ), Japan
Yong Zhang, Sun Yat-Sen University, China
Kinsuk Acharyya, Physical Research Laboratory, India
Bernardo Ballotta, Trinity College Dublin, Ireland

Copyright © 2026 Shingledecker, Molpeceres, Flowers, Warren, Stanley and Remijan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Germán Molpeceres, Z2VybWFuLm1vbHBlY2VyZXNAaWZmLmNzaWMuZXM=

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.