Yuan
Fang
a,
Pascale S. J.
Lakey
b,
Saleh
Riahi
b,
Andrew T.
McDonald
a,
Mona
Shrestha
a,
Douglas J.
Tobias
*b,
Manabu
Shiraiwa
*b and
Vicki H.
Grassian
*ac
aDepartment of Chemistry & Biochemistry, University of California, San Diego, La Jolla, 92093, CA, USA. E-mail: vhgrassian@ucsd.edu
bDepartment of Chemistry, University of California, Irvine, 92697, CA, USA. E-mail: m.shiraiwa@uci.edu; dtobias@uci.edu
cScripps Institution of Oceanography, Department of Nanoengineering, University of California, San Diego, La Jolla, 92093, CA, USA
First published on 9th January 2019
Indoor surfaces are often coated with organic compounds yet a molecular understanding of what drives these interactions is poorly understood. Herein, the adsorption and desorption of limonene, an organic compound found in indoor environments, on hydroxylated silica (SiO2) surfaces, used to mimic indoor glass surfaces, is investigated by combining vibrational spectroscopy, atomistic computer simulations and kinetic modeling. Infrared spectroscopy shows the interaction involves hydrogen-bonding between limonene and surface O–H groups. Atomistic molecular dynamics (MD) simulations confirm the existence of π-hydrogen bonding interactions, with one or two hydrogen bonds between the silica O–H groups and the carbon–carbon double bonds, roughly one third of the time. The concentration and temperature dependent adsorption/desorption kinetics as measured by infrared spectroscopy were reproduced with a kinetic model, yielding the adsorption enthalpy of ∼55 kJ mol−1, which is consistent with the value derived from the MD simulations. Importantly, this integrated experimental, theoretical and kinetic modeling study constitutes a conceptual framework for understanding the interaction of organic compounds with indoor relevant surfaces and thus provides important insights into our understanding of indoor air chemistry and indoor air quality.
Among the various surface chemical processes occurring on indoor surfaces, here we have focused our attention on elucidating the fundamental interactions, a detailed molecular picture, and the kinetics of the adsorption/desorption process of a prevalent indoor gas, D-limonene, on hydroxylated SiO2, a model for glass surfaces which are prominent in indoors. Limonene, a terpene commonly found in the indoor environment, is an active ingredient in a variety of consumer products such as cleaning products and odorants.13,14 It has been found to form secondary organic aerosol upon oxidation in the indoor environment.14–17 The average reported indoor concentration of limonene is 5–15 ppb,18 however, the concentration can escalate up to hundreds of ppb following product use.14 Furthermore, SiO2 was chosen as the model indoor surface in this study since it can represent the chemistry occurring on glass surfaces, which are abundant in the indoor environment. The SiO2 sample used in our study is in powder form, having a high surface area, to allow us to obtain detailed information on surface adsorption mechanisms.
To our knowledge, this is the first investigation of the interaction type, strength, and kinetics of limonene adsorption/desorption on SiO2 surface by integrating surface adsorption measurements obtained from vibrational spectroscopy with theoretical calculations and kinetic modeling. Using MD simulations, limonene is found to adsorb onto the surface by forming one or two π hydrogen bonds with the hydroxyl groups of SiO2. Infrared experiments corroborate the formation of hydrogen bonds upon exposure of limonene to SiO2. Furthermore, the kinetic double-layer model for surface chemistry (K2-SURF)19 based on parameters validated by MD simulations was able to reproduce experimental kinetic results of limonene adsorption/desorption on SiO2. The methods developed, and the kinetic model built here for limonene adsorption on SiO2 can be applied to other indoor organic vapors and surfaces, which will eventually lead to important laboratory data needed for modeling indoor air quality. This study represents an important first step in developing a molecular understanding of indoor surface chemistry.
Prior to and after the exposure of limonene, the single-beam spectra of surface- and gas- phases (300 scans) were acquired at 296 K, as well as from 298 K to 308 K for temperature dependence experiments. The following temperatures were employed for these experiments: 298, 300.5, 303, 305.5 and 308 K. A resolution of 4 cm−1 was used over the spectral range of 800 to 4000 cm−1. As SiO2 is opaque below ∼1200 cm−1, spectra are shown only above 1200 cm−1. During and following exposure to limonene, single-beam spectra (10 scans) of the respective SiO2 and gas phase surfaces were automatically acquired using a Macro (OMNIC Macro Basics software) to study the kinetics of limonene adsorption until equilibrium was reached. The IR cell and sample surface were evacuated after adsorption had reached equilibrium. Desorption information was then obtained by acquiring single-beam spectra (10 scans) for 30 minutes. Absorbance spectra of limonene on the SiO2 surface are reported as the difference in the SiO2 spectra before and following exposure to limonene. Absorption bands attributed to gas phase limonene (measured through the blank half of the tungsten grid) were subtracted from the surface absorbance spectra to obtain the FTIR spectra of the adsorbed particle species loaded on the tungsten grid.
All of the MD simulations were performed using the LAMPPS package.25 The equations of motion were integrated using the velocity-Verlet algorithm with a 1 fs time step. Electrostatic interactions were evaluated with the particle–particle particle–mesh solver26 with a 14 Å cutoff distance for the short-ranged nonbonded interactions. The simulation temperature was maintained at 295 K using the Nosè–Hoover thermostat with a relaxation time of 100 fs. CHARMM-compatible bonded and nonbonded force field parameters optimized for the SiO2 (ref. 26) were employed, and the CHARMM CGenFF force field27 parameters were used for limonene. Subsequently, a D-limonene molecule was introduced in the vacuum region adjacent to the slab and a 0.5 μs MD trajectory was generated at constant volume and a constant temperature of 295 K.
Umbrella sampling28 was employed to calculate the potential of mean force (PMF) or free energy profile for the desorption of limonene from the SiO2 surface. The distance of the center of mass of limonene from the surfaces was chosen as the reaction coordinate, and the desorption process was divided into 31 windows at 0.5 Å increments. A harmonic restraining potential with a force constant of 20.9 kJ mol−1 Å−2 was applied in each window. The free energy profile was generated from 10 ns long biased trajectories for each PMF window using the WHAM scheme.29 The limonene desorption enthalpy was estimated by energy minimization as a function of the separation between the limonene center of mass and SiO2 surface. This procedure was repeated for 100 different initial structures extracted from the 0.5 μs MD simulation.
During the MD simulation we observed predominantly two configurations of the limonene molecule on the silica surface, which we refer to as C* up and C* down based on the proximity of the chiral carbon atom to the surface. The activation energies for the transitions from the C* up to the C* down and the C* down to C* up configurations were estimated from the relative energies of the C* up, C* down, and vertical orientations of the limonene ring with respect to SiO2 surface. The energies were calculated at the M06-2X/6-311++G(d,p) level30 using structures of SiO2 and limonene optimized at the M06-2X/6-311G(d) level. The energies were corrected for basis set superposition error.31 The initial structures for these calculations were obtained from the force field-based MD simulation. The size of the SiO2 cluster used in the electronic structure calculations, 112 atoms, was chosen such that it can fully contain the different orientations of the limonene molecule. All of the electronic energy calculations were performed using the GAUSSIAN16 package.32
The infrared spectra acquired to characterize the kinetics of the adsorption and desorption of limonene on SiO2 surface as a function of time are shown in Fig. 1b. Time dependent spectra display a steady increase in the spectral intensity of the C–H stretches upon adsorption of limonene on to the surface followed by a decrease and complete removal of C–H absorption bands due to limonene upon desorption, suggesting that limonene is adsorbed on the SiO2 surface via a reversible process. Furthermore, we calculated the surface concentration by combining volumetric measurements with C–H absorption band peak intensities for the adsorbed species as previously described (see Section S1†).20,35Fig. 1c shows time course measurements of limonene concentrations on SiO2. Limonene was introduced to the system at t = 0 s, with increasing coverage observed until the adsorption of limonene on the surface was in equilibrium with the gas phase (t > 600 s). Desorption was then immediately initiated, and from that point onward, the surface coverage of limonene decreased with time. Additional IR studies along with modeling of kinetics of limonene on SiO2 surfaces are discussed after the next section.
The free energy profile for the reorientation of the limonene molecule on the surface, i.e., the transition from the C* up configuration to the C* down configuration, was calculated from the probability distribution of the angle, θ, between normal vectors in the limonene ring and the SiO2 surface (defined in Fig. 2a) according to (eqn (1)):
F(θ) = −kBTlnp(θ). | (1) |
The enthalpic barrier for the transition between the C* down and C* up configurations were estimated using the relative energies of the limonene–silica complex in the C* down, C* up, and vertical configurations of limonene with respect to the SiO2 cluster. The energies were calculated with M06-2X/6-311++G(d,p)//M06-2X/6-311G(d) electronic structure method.30 Results are summarized in Table 1 after correcting for basis set superposition error (BSSE).31 According to these calculations, the enthalpic barrier for passing from the C* up to the C* down configuration is 29.3 kJ mol−1.
Limonene orientation | Relative energy (kJ mol−1) |
---|---|
C* up | 0.0 |
C* down | 4.7 |
Vertical | 29.3 |
The radial distribution functions (RDFs) between the hydrogen atoms of the SiO2 surface and the sp3 and sp2 carbon atoms of limonene are presented in Fig. S1.† The value of rH–C at the first peak in the RDF is the distance at which preferred interactions occur. For the sp3 carbon atoms, the first peak in the RDF is at ∼3.5 Å, whereas for the sp2 atoms it is at ∼2.5 Å. The latter is indicative of a π–H bonding interaction between the hydrogen atoms of the SiO2 surface and the double bonds of the limonene molecule. The height and location of the first peak in the RDFs for the C* up and C* down configurations are the same, indicating that the strength of π–H bonding in the two configurations is similar. These values are in close agreement with the RDFs calculated using ab initio MD simulations.37
The histogram of the O–Csp2 distance and OH⋯Csp2 angle plotted in Fig. 2b demonstrates that the most probable O–Csp2 distance and OH⋯Csp2 angle occur at 3.2 Å and 155°, respectively, as expected for a hydrogen-bonding interaction. Based on Fig. 2b, we defined the criterion for π–H bonding as the O–Csp2 distance < 3.4 Å and the OH⋯Csp2 angle between 135° and 165°. According to this criterion, the probability of limonene engaging in one and two hydrogen bonds with the SiO2 surface is reported in the Table 2. Snapshots depicting the one and two hydrogen-bonding interactions between limonene and the SiO2 surface are depicted in Fig. 2e and f.
Configuration | No HB | 1 HB | 2 HB |
---|---|---|---|
C* down | 0.679 | 0.299 | 0.022 |
C* up | 0.684 | 0.289 | 0.027 |
According to the results provided in Table 2, in the C* up configuration the probability of formation of two hydrogen-bonds between the limonene molecule and SiO2 increases by 0.5%, while the number of one hydrogen-bonding interactions decreases by 1.0% relative to the C* down configuration. As the propenyl group possesses more rotational flexibility compared to the rest of molecule, the probability of the sp2 C atoms in the propenyl group being involved in the hydrogen-bonding interaction with the surface is 8% lower than the sp2 carbon atoms located in the ring. For instance, 58% of 1 HB structures in the C* up configuration originate from the contacts between the double bond on the ring and surface.
Fig. 4 Schematic of the K2-SURF model for adsorption and desorption of limonene to a SiO2 surface. The subscripts ‘ads’ and ‘gs’ represent adsorbed molecules and near surface gas-phase molecules, respectively. Jads is the adsorption flux which is equal to αs,0,lim × W/4 × (1 − θ) × [Lim(gs)] while Jdes is desorption flux which is equal to (1/τd,lim) × [Lim(ads)]. W is the mean thermal velocity and θ is the surface coverage. A description of other parameters can be found in Table 3. |
Parameter | Parameter description | Parameter value |
---|---|---|
a For simplicity, the same value is assumed for the C* down and C* up configurations. Also note that these values are for room temperature (∼296 K). At other temperatures the following equation is used: (1/τd,lim) = exp(−6423 × (1/T) + 32.24). b The activation energy associated with this rate coefficient is 24.6 kJ mol−1 assuming a pre-exponential factor of 1 × 1014 s−1. c The activation energy associated with this rate coefficient is 29.3 kJ mol−1 assuming a pre-exponential factor of 1 × 1014 s−1. | ||
α s,0,lim | Surface accommodation coefficient on an adsorbate-free surface | 1 |
τ d,lim | Desorption lifetime of limonene on the surface | 2.3 × 104 ns (Fig. 5), 2.6 × 104 ns (Fig. S2)a |
k 1 | First-order rate coefficient for the conversion of the C* down limonene configuration to the C* up limonene configuration | 4.6 × 109 s−1b |
k 2 | First-order rate coefficient for the conversion of the C* up limonene configuration to the C* down limonene configuration | 6.8 × 108 s−1c |
σ lim | Effective adsorption cross-section of a limonene molecule | 0.55 nm2 (Fig. 5), 0.79 nm2 (Fig. S2 and 6) |
c 1 | Fraction of limonene adsorbed as C* down, (1 − c1) is the fraction adsorbed as C* up | 0.5 |
Sensitivity studies were performed to investigate the impact of changing parameters on the model output and to see whether any parameters were co-dependent as discussed below. The value of c1, which is the fraction of limonene which adsorbs as the C* down limonene configuration, was set to 0.5 in the model but could be set to any value between 0 and 1 without affecting the model output. The same model output could be achieved if the value of α was decreased and the value of τd was increased by the same factor, indicating that α and τd are co-dependent. The model output was insensitive to the values of k1 and k2, unless τd for the C* down and C* up limonene configurations were set to different values.
Fig. 5 shows experimental measurements of the temporal evolution of the pressure in the reaction cell for three different equilibrium pressures. Individual polynomial lines for each of the three different experiments were used to fit these data sets and the evolution of the pressure as a function of time was then constrained to these fitted lines in the model. The data points in Fig. 5b shows experimental measurements of the temporal evolution of the adsorbed limonene concentration, while the lines are the model output. Table 4 summarizes the observed surface concentrations of limonene on SiO2 for various equilibrium pressures used in this study. The good agreement between the experimental measurements and the model suggest that the processes controlling the concentrations of limonene on the SiO2 surface are well understood as follows. The equilibrium between the gas-phase and surface-adsorbed limonene occurs on the order of microseconds, which is consistent with the short time scales of the parameters calculated by the MD simulations and shown in Table 3. The apparent slow adsorption and desorption of the limonene to the SiO2 surface, which occurs on the order of approximately 200 seconds, can be explained by slow gas-phase diffusion of the limonene into and out of the reaction cell, which leads to changing limonene pressures in the reaction cell over this time scale, as shown in Fig. 5a. Fig. S2† shows experimental measurements at different equilibrium pressures that were modelled using K2-SURF. Reaction cell pressures as a function of time were not available for these measurements and were therefore estimated and constrained in the model by fitting the three data sets shown in Fig. 5a using a single polynomial equation, which was normalized to the equilibrium pressure. Although the model can reproduce the measurements in Fig. S2† reasonably well, uncertainty in the reaction cell pressure is likely to be responsible for some of the deviations between the model and the measurements. It should also be noted that the parameters used when fitting the data in Fig. 5 and S2† were similar, as shown in Table 3.
Equilibrium pressure (mTorr) | Coverage (×1013 molecules/cm2) |
---|---|
6 | 2.4 ± 0.1 |
7 | 2.4 ± 0.1 |
8 | 2.7 ± 0.1 |
9 | 3.1 ± 0.2 |
10 | 3.2 ± 0.2 |
12 | 3.9 ± 0.2 |
13 | 4.1 ± 0.2 |
14 | 4.4 ± 0.2 |
16 | 4.3 ± 0.2 |
18 | 4.8 ± 0.2 |
21 | 5.7 ± 0.3 |
22 | 5.7 ± 0.3 |
23 | 5.8 ± 0.3 |
28 | 6.5 ± 0.3 |
Fig. 6 compares experimental data (circles) and model predictions (lines) for limonene adsorption and desorption onto a SiO2 surface as a function of time for different temperatures. The decrease in the maximum adsorbed limonene concentration as the temperature increases can be explained by the first-order desorption rate coefficient following Arrhenius kinetics. The Arrhenius equation which was used to fit the data (1/τd,lim = exp(−6423 × (1/T) + 32.24)) had a pre-exponential factor (A) which was fixed to 1 × 1014 s−1, allowing the adsorption enthalpy (ΔHads) to be calculated as −53.4 kJ mol−1. This is consistent with the pressure data, as when setting A to equal 1 × 1014 s−1 the value of ΔHads can be calculated as –(53.0–53.4 kJ mol−1). The values of ΔHads are larger than may be expected for purely physisorbed molecules, although this may be due to hydrogen bonding, and the values are lower than would be expected for strongly chemisorbed species.
Overall, this molecular level approach allows for the tracking of the dynamics of an organic film formation. Even in the absence of oxidants and high relative humidity (RH), these results should be applicable to isolated and quick activities when emissions containing limonene are released through products use and can then interaction with glass surfaces directly. Limonene adsorption occurs on very fast time scales, within microseconds, depending on the gas-phase concentrations. It must also be noted that SiO2 surface at ∼0% RH has a slightly higher number of free silanol groups compared to the surface at ∼50% RH, which suggests that our adsorption experiments on SiO2 in dry conditions (<1% RH) should be relevant for indoor relevant RH values.39 Furthermore, the surface dynamics will be different for a cold versus warm room since less limonene is adsorbed at higher temperatures. Importantly, the method developed for studying limonene adsorption/desorption on SiO2 surfaces can be further applied to other relevant indoor organic vapors and surfaces and, in the future, extended to understand the reaction chemistry of limonene on SiO2 surfaces in the presence of oxidants and water. This study thus represents an important step in understanding molecular details of indoor surface chemistry. These data and analyses can be used in future indoor air chemistry models which inform our understanding of indoor air quality.
Footnote |
† Electronic supplementary information (ESI) available: Supplementary information contains a table with mode assignments for limonene adsorbed on SiO2, additional information on the surface coverage calculation and two additional figures. The first figure (Fig. S1) is of the H(silica)–C radial distribution functions computed for the sp3 and sp2 carbon atoms calculated for the full trajectory and structures corresponding to the C* up and C* down conformations. The second figure (Fig. S2) shows time course measurements of limonene concentrations on SiO2 for fourteen different limonene pressures. See DOI: 10.1039/c8sc05560b |
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