Abstract
First-principles anharmonic vibrational calculations are carried out for the Raman spectrum of the C–H stretching bands in dodecane, and for the C–D bands in the deuterated molecule. The calculations use the Vibrational Self-Consistent Field (VSCF) algorithm. The results are compared with liquid-state experiments, after smoothing the isolated-molecule sharp-line computed spectra. Very good agreement between the computed and experimental results is found for the two systems. The combined theoretical and experimental results provide insights into the spectrum, elucidating the roles of symmetric and asymmetric CH3 and CH2 hydrogenic stretches. This is expected to be very useful for the interpretation of spectra of long-chain hydrocarbons. The results show that anharmonic effects on the spectrum are large. On the other hand, vibrational degeneracy effects seem to be rather modest at the resolution of the experiments. The degeneracy effects may have more pronounced manifestations in higher-resolution experiments. The results show that first-principles anharmonic vibrational calculations for hydrocarbons are feasible, in good agreement with experiment, opening the way for applications to many similar systems. The results may be useful for the analysis of CARS imaging of lipids, for which dodecane is a representative molecule. It is suggested that first-principles vibrational calculations may be useful also for CARS imaging of other systems.
1. Introduction
The carbon–hydrogen bond is ubiquitous in biomolecular compounds. In vibrational spectroscopy of bio-organic molecules, the C–H stretching vibrations give rise to band structures that typically constitute the strongest contributions to the vibrational spectrum. These high spectral amplitudes have made the C–H stretching region of the spectrum the premier vibrational range for rapid spectroscopic detection of biologically relevant molecules. In particular, nonlinear Raman microscopy techniques,1–3 which enable real-time imaging of cells and tissue materials, make extensive use of the prominent C–H stretching band structures for mapping of lipids, sterols, carbohydrates and proteins. Similarly, the C–H stretching vibrations have been the dominant probes in sum-frequency generation investigations of aliphatic molecules at surfaces.4,5
Despite their central role in vibrational spectroscopy of bio-organic compounds, the link between the vibrational modes and the resulting C–H stretching band profile is not understood in detail. This missing link limits the analytical capabilities of the vibrational spectroscopic approach. For instance, coherent Raman imaging studies of lipophilic compounds often make use of only one vibrational mode, the symmetric methylene (CH2) stretching vibration at 2845 cm−1,6–9 severely compromising the ability to discriminate among different methylene-rich molecular species. Moreover, because the understanding of the subtle balance between symmetric and asymmetric methylene stretches and the corresponding methyl (CH3) stretches is incomplete, it has been difficult to devise vibrational methods that reliably separate lipids from proteins and/or from carbohydrates. Clearly, a better molecular interpretation of the C–H stretching band would expand the analytical reach of these powerful nonlinear vibrational methods.
The assignment and interpretation of the C–H stretching vibrational range is contingent on the quantitative modeling of the vibrational modes and their mutual couplings in larger molecules. In methylene-rich molecules, the energies of the symmetric and asymmetric modes overlap with overtones and combinational modes, and with Fermi resonances, all of which are sensitive to conformational changes and environmental factors, posing a serious challenge from a modeling point of view. Spectral band assignments have been made based on normal mode analysis methods and a valence force field derived from empirical data.10–14 Such models provide a great deal of insights into the basic molecular modes that contribute to the band structure, their mutual couplings, and the effects of conformational changes on the Raman band profile. To date, the interpretation of vibrational CARS4,15,16 and Raman17,18 spectra of methylene rich interfacial molecule layers strongly relies on the band assignments predicted by these empirically inspired normal mode analysis approaches, cf. studies of lipid structures and of sum-frequency generation (SFG) measurements.4,5
Yet, a major limitation of the existing assignments of the C–H stretching marker band is that they are based on empirical assumptions, which are difficult to verify. It has, therefore, been complicated to apply band assignments of model systems to C–H-rich biomolecular compounds in general, and to define the quantitative limits of the band positions of the relevant molecular modes. Hence, better models are needed to improve the analytical power of nonlinear vibrational spectroscopy in the C–H stretching range. In principle, detailed ab initio calculations can provide the desired information. For the CH band, this requires an anharmonic level of first-principles vibrational calculations. Simple ab initio calculations obtained within the harmonic approximation19–21 can provide us with valuable information.22–24 Their accuracy, however, is not sufficient for detailed analysis of experimental spectra and for utilizing all structural information provided by the experimental spectra.25–29 The anharmonic Vibrational Self-Consistent Field (VSCF) method seems to be a very suitable tool for the purpose.
For the analysis of Raman spectra of lipid molecules, the dodecane molecule appears to be a good model system because it is quite a simple molecule containing CH2 and CH3 groups, abundant in fatty acids (a very important part of lipid molecules), while the ratio of CH2 to CH3 for dodecane and for lipids is similar enough. The ab initio calculations involving anharmonic effects enable us to describe the role of symmetric and asymmetric C–H stretches in both CH2 and CH3 groups. The VSCF calculations are feasible for dodecane, which enables theoretical analysis of C–H stretches in the frequency region used in the nonlinear Raman spectroscopy. For these calculations we have used the VSCF method and its variants, e.g. the vibrational self-consistent field with second order perturbation theory (VSCF-PT2)30 employed for scaled PM3 potential.31,32 These methods will be described in the following paragraphs. The calculations and experiments were carried out for both the standard non-deuterated isotopomer of dodecane (C12H26), which is also referred to as H-dodecane, and for the fully deuterated molecule (C12D26)—D-dodecane. Based on this approach and on the comparison of calculations with experiment, a first-principles assignment of the Raman spectra of dodecane will be reached.
The paper is structured as follows: the theoretical and computational methods are described in Section 2. Results and their analysis are the contents of Section 3. Conclusions and remarks are brought in Section 4.
2. Methodology
Raman measurements
Dodecane and deuterated dodecane (d26) were obtained from Sigma-Aldrich and used without further purification. The materials were sandwiched between two borosilicate coverslips with a 125 µm adhesive spacer. A frequency-doubled Nd: vanadate laser was used to provide 523 nm radiation for the Raman experiments, which was focused by a 20×, 0.75 objective lens onto the sample. Raman scattered light was detected in the epi-direction, filtered by a holographic notch filter and directed to a spectrometer (Andor Shamrock) equipped with a cooled CCD camera (Andor IDus).
Computational methods
Classical molecular dynamics calculations
The geometrical analysis of the molecule of dodecane started with a conformational search with the MM3 force field.33 Molecular Dynamics simulations were carried out for an isolated molecule at p = 1 atm and T = 295 K, under isobaric and isothermic conditions (NPT). The use of a thermal ensemble is significant in this case, so as to correspond to the experimental temperature. The Tinker molecular dynamics package34 was used for the calculations.
Ab initio calculations
For all ab initio calculations we used GAMESS suite of programs.35 The electronic energies, serving as potentials in the calculation of vibrational frequencies, were generally calculated with the MP2 method36 or an improved PM3 algorithm described below. We generally used the correlation consistent polarized valence double-zeta basis set (CC-PVDZ) proposed by Dunning.37,38 The main computational methods used in our study are described in the following paragraphs.
Vibrational self-consistent field (VSCF) methods
Anharmonic interactions including coupling between different modes were treated in this study within the VSCF approach and its extensions.39–55 The basic VSCF approach begins with the determination of the normal modes, describing vibrational displacements from the equilibrium structure, as in standard harmonic calculations. Employing other kinds of coordinates is possible.56 The VSCF approximation assumes that the full vibrational wavefunction is factorizable into single-mode wavefunctions corresponding to the different normal modes. Equations for the wavefunctions and energy levels of the system are then derived on this basis, while a mean field potential is employed. It represents interactions of each mode with the other modes in the molecule.30,57 The full vibrational wavefunctions of the system at the basic level of VSCF are separable, as in the harmonic approximation, but are not harmonic. Unlike the harmonic approximation, the basic VSCF equations are not analytically solvable, but they can be treated quite efficiently numerically.
In VSCF calculations for molecules of this size, it is necessary to approximate the full potential energy. We employ here an approximate representation of the potential function that includes only coupling between pairs of normal modes, neglecting direct interactions of three or more modes.30
VSCF-PT2
Basic VSCF provides improvement over the harmonic approximation, but higher accuracy is obviously desirable. Using second-order perturbation theory for introducing the contributions of the effects beyond wavefunction separability leads to the VSCF-PT2 (VSCF with the Perturbation Theory correction of the second order) algorithm.30 This method is also often referred to as CC-VSCF (Correlation-Corrected VSCF),30 and Vibrational Møler–Plesset method,58 as it is analogous to MP2 from the electronic structure theory.36
Several algorithms for increasing the efficiency of VSCF-PT2 calculations have been used. For example, Pele, Brauer and Gerber suggested a modification using properties of the single-mode VSCF wavefunctions, which greatly improved the scaling of VSCF-PT2 calculations for large systems.59,60 Another algorithm suitable for systems where a single transition only in a large polyatomic system is of interest was introduced by Benoit.61
VSCF methods for vibrationally degenerate states
Results seem to indicate that the consequences of vibrational degeneracy on the accuracy of VSCF calculations are quite often not very severe. Certainly, the effects are of much weaker consequences than is the case for electronic degeneracy in ab initio calculations. Several algorithms for dealing with degeneracies have been suggested. One of them, frequently referred to as Vibrational Configuration Interaction (VCI) or D-VSCF (Degenerate VSCF), involves diagonalizing the vibrational Hamiltonian in a VSCF basis, over the degenerate subspace.62 A more accurate algorithm called VSCF-DPT2 involves also interactions with non-degenerate states, treated by second-order perturbation theory. Both of these methods are, however, memory and computational time demanding and therefore the calculations are not feasible for molecules discussed here.
A simple approach for solving the degeneracy problem occurring in VSCF-PT2 was introduced by Daněček and Bouř63 and successfully used e.g. for mercaptomethane, pyridine and 4-mercaptopyridine.64 It is based on modification of the formula used for the second order perturbation correction, which can be justified in case the perturbation is very small. The modified formula does not contain the energy differences between vibrational mode frequencies in a denominator, which is the source of failing of the perturbation theory correction in the case of degenerate systems. This method is referred to as degeneracy-corrected VMP2 (DCVMP2),64 in our study we use acronym VSCF-DCPT2, which means degeneracy-corrected VSCF-PT2. We have integrated this method to our GAMESS source code implemented in the same N3 scaling as the VSCF-PT2.
For the quasi-degenerate C–H band of dodecane, we certainly expect Fermi resonance to be present. However, the broadening effects at the room temperature are such that Fermi resonance splittings or shifts are most likely to be washed out by the averaging (the broadening parameters used are 10 cm−1 for part of the transitions, 25 cm−1 for the rest). In fact, as will be seen later, methods that do not treat degeneracy explicitly yield very good accord with experiment. We emphasize here that experiments at low temperatures, under conditions of high-resolution (isolated molecules), are very likely to result in appearance of Fermi resonance manifestations. This is therefore an interesting challenge for the future.
VSCF calculations for ab initio potentials
An algorithm for first-principles calculations of anharmonic spectra of polyatomic molecules by direct application of VSCF to potential surface points from ab initio codes was introduced by Chaban, Jung and Gerber.45,51,65 Ab initio potentials in such calculations are computed for a number of points. This approach is employed here.
Anharmonic vibrational spectroscopy calculations using ab initio potentials are too time demanding and are not feasible for our system. However, there are some semiempirical methods that can be efficiently used, e.g. PM3.31 The accuracy of the semiempirical methods themselves is not sufficient for spectroscopy calculations. However, the accuracy can be much increased by adjusting the PM3 potentials to fit harmonic frequencies from the higher-level ab initio MP2 method. The approach used in our research was introduced by Brauer et al.32 and has been used and validated by subsequent studies.26,66,67 The adjustment of PM3 is accomplished by introducing a scaling, such that
| (1) |
where Vscaled is the scaled potential, VPM3 is the PM3 potential surface, and Qj is the jth normal-mode coordinate. The scale factor λi is determined by the ratio
| (2) |
where ωab initio,i is the ith harmonic frequency obtained by the more accurate ab initio method, while ωPM3,i represents the corresponding harmonic frequency obtained by PM3. The λi factors are then used for the potential surface calculations, which are a part of the VSCF procedure. Thus, the standard PM3 potential surface in normal coordinates is modified by the scaling of each normal-mode coordinate Qj by the scale factor λi. The idea behind the adjustment of the low-level potential is that the scaled potential has the same harmonic frequencies as the higher-level ab initio method. This eliminates a major source of error of the semiempirical potential.
The preconditions for carrying out this scaling procedure include similarities in geometries obtained with PM3 and the higher-level method used and a close correspondence in the nature of the vibrational modes that are being scaled. The proposed scaling makes intuitive sense only if the PM3 normal mode being scaled is similar to the mode obtained by the higher-level method used for scaling.
Raman spectra modeling
The backscattering nonresonance Raman intensities were calculated by a standard formula implemented in GAMESS, the spectra curves were constructed by our software, the temperature was set to 295 K. The intensity expression used is harmonically-derived, the only anharmonic part of the calculation is thus the frequencies. Both the experimental and calculated spectra were normalized selectively to the highest peak.
The VSCF calculations yield sharp transition frequencies. All effects of homogenous and inhomogenous broadening are treated by assuming each transition to correspond to a Lorentzian band, which produces a smoothed spectrum. The Full Widths at the Half-Height (FWHH) were obtained by considerations discussed in the next section.
3. Results and discussion
Analysis of conformers
Some Raman spectra features, especially the spectral band broadening, are strongly dependent on conformation. At room temperature many conformers of organic molecules and biomolecules are present. Therefore a thorough analysis of dodecane conformers has been done. Other spectral factors, causing especially the broadening of bands, e.g. the “hotband” contributions, have not been modeled. The Lorenzian model for the temperature effect is supposed to include all factors. The effect of multiple conformer contributions to the widths was estimated as described below.
7838 conformers of dodecane altogether were found by the MM3 Force Field. Their percentage was calculated from MM3 energies, using the Boltzmann distribution (at 295 K). The global minimum structure (conformer 1 in Fig. 1) is similar to that of fatty acids in lipids. The percentage distribution of conformers at room temperature shown in Table 1 implies that the lowest-energy conformer’s population is about 15%, the percentage of each of the first-energy-level conformers (five altogether) is about 3% and the population of each of the other conformers is less than 1%. The vibrational spectra are significantly influenced by the presence of many conformers, a detailed theoretical assessment of this influence is thus not feasible. However, as the stretching vibrations are not critically dependent on the conformation, no other effect than spectral band broadening is supposed to be significant. The MM3 frequency shifts were maximally about 10 cm−1 (see Table 1), which shows that the broadening of spectral bands caused by the presence of more conformers is maximally about 10 cm−1. We have thus set the value of the full width at a half-height (FWHH) of most Raman bands in the calculated spectra to 10 cm−1.
Fig. 1.
Conformers of dodecane—the minimum energy structure and the first- and some second energy level conformers.
Table 1.
Conformers of Dodecane—the Energy Minimum and the First- and Second Energy Level Conformers-Energies, Percentage and Frequency Shifts in Respect to the Energy Minimum
| Conformer | Energy/kcal mol−1 | Percentage | Maximum frequency deviation/cm−1 |
|---|---|---|---|
| 1 | 0.00 | 14.68 | |
| 2 | 0.84 | 3.51 | 6.1 |
| 3 | 0.87 | 3.35 | 4.5 |
| 4 | 0.87 | 3.33 | 4.5 |
| 5 | 0.87 | 3.32 | 4.4 |
| 6 | 0.89 | 3.24 | 3.8 |
| 7 | 1.58 | 0.99 | 5.6 |
| 8 | 1.59 | 0.98 | 5.6 |
| 9 | 1.61 | 0.94 | 5.6 |
| 10 | 1.62 | 0.93 | 5.6 |
| 11 | 1.67 | 0.85 | 5.8 |
| 12 | 1.68 | 0.84 | 6.1 |
| 13 | 1.69 | 0.82 | 10.8 |
| 14 | 1.69 | 0.82 | 4.1 |
| 15 | 1.69 | 0.82 | 8.1 |
| 16 | 1.69 | 0.82 | 3.9 |
| 17 | 1.70 | 0.80 | 6.1 |
| 18 | 1.71 | 0.80 | 6.1 |
| 19 | 1.71 | 0.80 | 6.1 |
| 20 | 1.71 | 0.80 | 6.1 |
| 21 | 1.71 | 0.79 | 6.1 |
| 22 | 1.71 | 0.79 | 3.4 |
| 23 | 1.71 | 0.79 | 11.9 |
| 24 | 1.72 | 0.78 | 8.8 |
| 25 | 1.72 | 0.78 | 6.1 |
| 26 | 1.72 | 0.77 | 6.1 |
| 27 | 1.73 | 0.76 | 11.8 |
| 28 | 1.74 | 0.76 | 8.7 |
| 29 | 1.74 | 0.75 | 5.4 |
| 30 | 1.75 | 0.75 | 5.4 |
| 31 | 1.75 | 0.74 | 5.3 |
| 32 | 1.76 | 0.74 | 4.6 |
| 33 | 1.76 | 0.73 | 4.6 |
| 34 | 1.76 | 0.73 | 5.4 |
| 35 | 1.77 | 0.71 | 4.4 |
| 36 | 1.77 | 0.71 | 4.4 |
| 37 | 1.80 | 0.68 | 6.8 |
| 38 | 1.84 | 0.63 | 5.3 |
| 39 | 1.84 | 0.63 | 5.1 |
| 40 | 1.86 | 0.62 | 4.5 |
For the global minimum energy structure the harmonic vibrational frequencies and Raman intensities in the C–H stretch region were calculated at the MP2/CC-PVDZ level, and the VSCF anharmonic frequencies by the improved PM3 method, while the scaling factors were obtained from MP2/CC-PVDZ and standard PM3 frequencies, according to Formula (2).
The dodecane Raman spectra
The harmonic spectra and assignment of the modes
The harmonic spectra of dodecane are depicted in Fig. 2 (non-deuterated) and Fig. 3 (deuterated). The main spectral experimental patterns are quite well reproduced by the calculations for both isotopomers, despite a significant blue shift (around 200 cm−1), which is a result of neglecting anharmonic effects. This phenomenon is very well-known in the vibrational spectroscopy. However, these results are sufficient for identification of the modes responsible for most of the peaks in the experimental Raman spectra. The numbers in Table 2 show a clear separation of all different types of H-dodecane normal modes at the harmonic level (CH2 symmetric, CH3 symmetric, CH2 asymmetric, and CH3 asymmetric—in the increasing order of their frequencies). As the general experimental experience shows that the CH2 asymmetric modes are in general very sensitive to their environment and when the local environment becomes more disordered (from solid to liquid), the CH2 asymmetric modes broaden significantly, while the CH2 symmetric modes are not so sensitive, the CH2 asymmetric modes can be expected to be much more broadened (two or three times) than the CH2 symmetric modes for liquid samples. Hence, we set the value of FWHH for CH2 asymmetric bands to 25 cm−1, while the FWHH value of the other modes was set to 10 cm−1, due to the conformer equilibria effects, as described above. This smoothing of the lines is a very simple approach to incorporate broadening effects on an otherwise first-principles single molecule calculation at T = 0 K. Since this leads to good accord with experiment, as we shall see later, it is very encouraging for quantitative calculations of hydrocarbon Raman spectra.
Fig. 2.
The harmonic MP2/CC-PVDZ spectra of a non-deuterated dodecane isotopomer (red curve) compared to experiment (black curve).
Fig. 3.
The harmonic MP2/CC-PVDZ spectra of a deuterated dodecane isotopomer (red curve) compared to experiment (black curve).
Table 2.
The vibrational frequencies of the CH2 and CH3 stretching modes in the non-deuterated dodecane molecules at both the harmonic and the anharmonic levels
| Mode | Type | MP2 harmonic |
Imp. PM3-VSCF |
Imp. PM3- VSCF_DCPT2 |
Raman intensities |
|---|---|---|---|---|---|
| 89 | CH2 sym | 3053 | 2864 | 2858 | 1 |
| 90 | CH2 sym | 3053 | 2867 | 2824 | 20 |
| 91 | CH2 sym | 3054 | 2866 | 2860 | 0 |
| 92 | CH2 sym | 3054 | 2862 | 2833 | 1 |
| 93 | CH2 sym | 3056 | 2886 | 2836 | 511 |
| 94 | CH2 sym | 3057 | 2866 | 2858 | 0 |
| 95 | CH2 sym | 3061 | 2874 | 2850 | 19 |
| 96 | CH2 sym | 3064 | 2878 | 2871 | 0 |
| 97 | CH2 sym | 3071 | 2886 | 2864 | 92 |
| 98 | CH2 sym | 3071 | 2867 | 2855 | 1 |
| 99 | CH3 sym | 3077 | 2850 | 2772 | 8 |
| 100 | CH3 sym | 3077 | 2861 | 2802 | 332 |
| 101 | CH2 asym | 3094 | 2941 | 2935 | 372 |
| 102 | CH2 asym | 3095 | 2940 | 2935 | 1 |
| 103 | CH2 asym | 3097 | 2942 | 2936 | 47 |
| 104 | CH2 asym | 3102 | 2949 | 2945 | 0 |
| 105 | CH2 asym | 3107 | 2958 | 2955 | 33 |
| 106 | CH2 asym | 3115 | 2961 | 2960 | 0 |
| 107 | CH2 asym | 3122 | 2970 | 2966 | 39 |
| 108 | CH2 asym | 3127 | 2973 | 2968 | 0 |
| 109 | CH2 asym | 3132 | 2977 | 2973 | 28 |
| 110 | CH2 asym | 3135 | 2984 | 2980 | 0 |
| 111 | CH3 asym | 3172 | 2905 | 2872 | 70 |
| 112 | CH3 asym | 3172 | 2912 | 2881 | 1 |
| 113 | CH3 asym | 3175 | 2935 | 2897 | 52 |
| 114 | CH3 asym | 3175 | 2941 | 2904 | 144 |
The anharmonic effects
The spectrum obtained by the VSCF method at the improved PM3 level, together with the experiment, is shown in Fig. 4 (H-dodecane) and Fig. 6 (D-dodecane). The agreement of the calculated frequencies with the experimental data is very good. Even the calculated intensities (note that they were obtained harmonically) fit the experiment very well. One of few discrepancies is that one experimental peak at the red edge of the H-dodecane spectrum was not reproduced by the calculations. The possible origins of this peak will be discussed later. To show the contribution of individual transitions and the averaging effects, Fig. 5 and 7 are shown. They depict the calculated H- and D-dodecane VSCF spectrum and the Raman intensities of all C–H and C–D stretches.
Fig. 4.
The VSCF spectra of a non-deuterated dodecane isotopomer calculated with the improved PM3 method (red curve) compared to experiment (black curve).
Fig. 6.
The VSCF spectra of a deuterated dodecane isotopomer calculated with the improved PM3 method (red curve) compared to experiment (black curve).
Fig. 5.
The smoothed VSCF spectrum of a non-deuterated dodecane isotopomer calculated with the improved PM3 method (red curve) with the VSCF lines corresponding to all fundamental transition in this spectral range (black lines). The position of each black line corresponds to the transition frequency and the height denotes the transition relative Raman intensity (compared to the most intense transition).
Fig. 7.
The smoothed VSCF spectrum of a deuterated dodecane isotopomer calculated with the improved PM3 method (red curve) with the VSCF lines corresponding to all fundamental transition in this spectral range (black lines). The position of each black line corresponds to the transition frequency and the height denotes the transition relative Raman intensity (compared to the most intense transition).
The VSCF-DCPT2 method shifts most of the vibrational frequencies to the left and changes the spectral shape quite significantly, see Fig. 8 and 9. The results are similar to those of the VSCF-PT2 version as implemented in GAMESS (not shown), in which terms near to singularity due to degeneracies are dropped.While the DCPT2 correction apparently improves the D-dodecane spectrum, it is questionable if it works so well for H-dodecane. In this case, the position of the transition with the highest calculated intensity seems to correspond to the highest experimental peak much better than for simple VSCF, however, it is also possible that in reality the second largest peak in the calculated spectrum corresponds to the experimental absolute maximum, note that the Raman intensities were calculated harmonically and so a worse accuracy is expected. The other features of the spectral profile seem to be reproduced better by simple VSCF than by VSCF-DCPT2.
Fig. 8.
The VSCF-DCPT2 spectra of a non-deuterated dodecane isotopomer calculated with the improved PM3 method (red curve) compared to experiment (black curve).
Fig. 9.
The VSCF-DCPT2 spectra of a deuterated dodecane isotopomer calculated with the improved PM3 method (red curve) compared to experiment (black curve).
Both of the anharmonic methods more or less preserve the separation of the mode types in the spectra, even though they change their order (see Tables 2 and 4 and Fig. 5 and 7). For H-dodecane, the lowest vibrational frequencies correspond to symmetric CH3 stretches (2772–2802 for VSCF-DCPT2 and 2850–2861 for VSCF), followed by symmetric CH2 stretches (2824–2871 for VSCF-DCPT2 and 2862–2886 for VSCF) and asymmetric CH3 stretches (2872–2904 for VSCF-DCPT2 and 2905–2941 for VSCF), the highest frequencies correspond to CH2 asymmetric stretches (2935–2980 for VSCF-DCPT2 and 2940–2984 for VSCF), the frequencies expressed in cm−1. Note that for VSCF-DCPT2 the separation of the vibrational frequencies is clearer than for simple VSCF. This effect is even more obvious for D-dodecane, where all mode types are clearly separated for VSCF-DCPT2, while for simple VSCF the asymmetric CD3 and CD2 stretches frequency ranges are mixed (2215–2230 for the former and 2214–2240 for the latter). The order of mode type frequency ranges is the same for H-dodecane and D-dodecane. The assignment of modes at the VSCF level (CH3 symmetric, CH2 symmetric, CH3 asymmetric, and CH2 asymmetric, counting from lower to higher frequencies), found for both isotopomers, differs from the conventional assignment, dating back to 1975.68 The conventional empirically based assignments are as follows: the frequencies around 2850 cm−1 are attributed to CH2 symmetric, the frequencies around 2890 cm−1 to CH2 asymmetric, the frequencies around 2935 cm−1 to CH3 symmetric, and the frequencies around 2960 cm−1 to CH3 asymmetric modes. Note for example that the lowest level of VSCF assigns symmetric CH3 vibrations to the region that corresponds to CH2 symmetric bands according to the conventional assignment. Similarly, VSCF assigns CH2 asymmetric modes to the frequency region that corresponds to CH3 asymmetric transitions according to the conventional assignment, while the frequencies conventionally attributed to CH2 asymmetric modes are close to the VSCF frequencies of CH2 symmetric modes. On the other hand, the VSCF-DCPT2 predicts the CH2 symmetric band at the expected place and the CH3 symmetric band at the red edge of the spectrum (close to the position of the small red-edge peak found in experiment). Our results can thus bring a new light into the vibrational spectroscopy of the hydrocarbon stretches, however, the results show to be highly dependent on the quality of used potentials, i.e. the applied electronic structure method, and on the level of the anharmonic vibrational method. Therefore some additional calculations of CH stretches on a wider scale of molecules containing either CH2 or CH3 group, or both of them in various ratios, are advisable, preferably with high-level computational methods.
Table 4.
The vibrational frequencies of the CD2 and CD3 stretching modes in the deuterated dodecane molecule at both the harmonic and anharmonic levels. The mode numbers correspond to the harmonical modes listed in Table 2 which were assigned to them
| Mode | Type | MP2 harmonic |
Imp. PM3-VSCF |
Imp. PM3- VSCF_DCPT2 |
Raman intensities |
|---|---|---|---|---|---|
| 89 | CD2 sym | 2223 | 2127 | 2122 | 0 |
| 90 | CD2 sym | 2224 | 2129 | 2109 | 10 |
| 91 | CD2 sym | 2227 | 2128 | 2124 | 0 |
| 92 | CD2 sym | 2223 | 2128 | 2095 | 1 |
| 93 | CD2 sym | 2230 | 2140 | 2114 | 186 |
| 94 | CD2 sym | 2224 | 2120 | 2112 | 0 |
| 95 | CD2 sym | 2225 | 2129 | 2112 | 3 |
| 96 | CD2 sym | 2226 | 2133 | 2128 | 0 |
| 97 | CD2 sym | 2237 | 2142 | 2120 | 195 |
| 98 | CD2 sym | 2237 | 2130 | 2121 | 3 |
| 99 | CD3 sym | 2212 | 2083 | 2078 | 0 |
| 100 | CD3 sym | 2212 | 2084 | 2077 | 85 |
| 101 | CD2 asym | 2293 | 2214 | 2211 | 198 |
| 102 | CD2 asym | 2294 | 2214 | 2211 | 0 |
| 103 | CD2 asym | 2296 | 2217 | 2214 | 31 |
| 104 | CD2 asym | 2300 | 2220 | 2217 | 0 |
| 105 | CD2 asym | 2305 | 2228 | 2226 | 18 |
| 106 | CD2 asym | 2310 | 2231 | 2230 | 0 |
| 107 | CD2 asym | 2315 | 2235 | 2232 | 18 |
| 108 | CD2 asym | 2319 | 2238 | 2234 | 0 |
| 109 | CD2 asym | 2321 | 2239 | 2234 | 16 |
| 110 | CD2 asym | 2323 | 2240 | 2236 | 0 |
| 111 | CD3 asym | 2349 | 2215 | 2198 | 38 |
| 112 | CD3 asym | 2349 | 2215 | 2199 | 0 |
| 113 | CD3 asym | 2352 | 2229 | 2200 | 16 |
| 114 | CD3 asym | 2352 | 2230 | 2201 | 85 |
In the overall spectrum of H-dodecane we can see basically three clearly resolved peaks. Each of them is caused especially by one transition with a very high intensity which corresponds to one of the four mode types. The Raman intensities of all CH3 asymmetric stretches are very small compared to the other modes and the spectral bands of these modes overlap with more intensive CH2 asymmetric modes. The situation is similar for D-dodecane, however, in this case the highest Raman signal is caused by two transitions of roughly the same intensity and frequency, which explains why this peak is so dominant in the D-dodecane spectrum. Another difference is that for D-dodecane the CD3 asymmetric stretches are somewhat stronger compared to other modes than was the case of H-dodecane, and they are in principle visible in the spectrum. However, they can be still hardly resolved from CD2 asymmetric stretches.
On the whole, keeping in mind the complexity of the actual system and conditions, the agreement between calculations and experiment is good both in Fig. 4 (VSCF) and in Fig. 8 (VSCF-DCPT2), although the nature of the agreement is somewhat different in the two cases. The fact that one gets a roughly simple level of agreement with two different approximate methods means that such calculations are robust for the intensity pattern. Note that while the two methods employed seem to give basically a similar level of accord with experiment, the underlying assignment is not the same for some of the frequencies. In the case of such a dense, strongly coupled band, the assignment in terms of localized transitions can depend sensitively on the vibrational method used. We emphasize, however, that agreement with the observed intensities is robust.
The nonreproduced red-edge experimental peak
In order to examine the origin of the Raman signal for a transition with a frequency of 2730 cm−1, we have calculated the H-dodecane overtone frequencies of transitions likely to contribute to the spectrum in the region of our interest, which are especially CH2 and CH3 scissoring vibrations. These vibrations are very likely to interact with the C–H stretches, which can lead to a relatively high intensity of such transitions due to resonance. Six modes of that kind were found, their frequencies are shown in Table 3. Indeed, these frequencies correspond to the discussed red-edge experimental peak. This assumption can be verified by applying Raman intensity calculations which require computations beyond the harmonic approximation, which has not been possible with our software so far. A similar calculation was made for D-dodecane. In this case just three modes of this kind were found—see Table 5. The smaller number of transitions likely to cause the Raman signal is a possible reason why the red-edge peak is not present in D-dodecane experimental spectra.
Table 3.
Vibrational modes possibly contributing to the vibrational spectra of non-deuterated dodecane in the region of C–H stretch fundamental transitions
| Overtones | Fundamental frequency/cm−1 |
Overtone frequency/cm−1 |
|
|---|---|---|---|
| Mode | Type | ||
| 78 | CH2 and CH3 scissors | 1363 | 2721 |
| 79 | CH3 scissors | 1364 | 2720 |
| 80 | CH2 scissors | 1367 | 2731 |
| 81 | CH2 and CH3 scissors | 1366 | 2728 |
| 82 | CH2 scissors | 1373 | 2743 |
| 83 | CH2 scissors | 1373 | 2745 |
Table 5.
Vibrational modes possibly contributing to the vibrational spectra of deuterated dodecane in the region of C–D stretch fundamental transitions
| Mode | Type | Fundamental frequency/cm−1 |
Overtone frequency/cm−1 |
|---|---|---|---|
| 75 | CD2 and CD3 scissors | 1026 | 2051 |
| 76 | CD2 and CD3 scissors | 1030 | 2060 |
| 77 | CD2 and CD3 scissors | 1033 | 2065 |
An alternative explanation for this peak is that it is caused only by fundamental transitions with the smallest frequencies. This assumption is supported by the VSCF-DCPT2 spectral shape, containing several transitions with frequencies approaching the position of the experimental peak of interest, and also by the absence of the peak in the D-dodecane spectrum. In this case, this peak would be caused by degeneracy effects. However, the agreement with experiment for this part of the spectrum is considerably worse than for the other parts and it is thus not possible to be sure that the assignment of the symmetric CH3 stretches to this peak is correct. Moreover, the predicted intensity of these transitions is much stronger than is observed in the experimental peak. In the absence of clear evidence, it can be said that at the resolution of the experiments there seems to be no important degeneracy effects in the spectrum. In summary, at the present state of the research, a definite explanation for the red-edge peak in H-dodecane (and the absence thereof for D-dodecane) cannot be given. A decision between two possible interpretations proposed above can best be reached by future higher-resolution experiments.
4. Concluding remarks
The main message of this article is that first-principles anharmonic vibrational calculations of the Raman spectra of long-chain hydrocarbons are feasible, and yield on the whole good agreement with experiments, carried out for the liquid phase and at ambient temperatures. The results seem to us to suggest that such calculations should be equally successful for any systems of this class, rendering many applications possible. It seems that providing a unique assignment from such calculations is less reliable than the accord with experiment on the observed spectrum. The reason is that in a dense, quasi-degenerate, strongly-coupled band, interpretation in terms of localized modes is sensitive to details, such as electronic potentials and the level of anharmonicity treatment. However, the approach taken here seems to provide a powerful tool for the quantitative interpretation of the hydrogenic stretching band in hydrocarbons, and perhaps also in more complex systems where other types of biomolecules (proteins, saccharides) are present jointly with compounds containing alkyl chains. Raman analysis of hydrocarbon mixtures is a potential application, as is in principle the study of proteins or saccharides in lipid membranes. Future work is planned in these directions.
A theoretical implication of the results is that anharmonic effects in the CH stretching band of hydrocarbons play, not surprisingly, a major role, which is well described by VSCF. On the other hand, degeneracy effects do not seem very important, given that VSCF variants that do not include Fermi resonances and other corrections for degeneracy gave very good agreement with experiment. The only exception is the red-edge peak of H-dodecane, which could be either due to a degeneracy effect (as described by VSCF-DCPT2), or it could be due to a bending overtone. In either case, future high resolution experiments, e.g. in molecular beams or in cryogenic matrices, may probably throw light on the situation, and yield evidence on other possible manifestations of resonance effects in the CH band of hydrocarbons.
Acknowledgements
Research at the Hebrew University was supported by resources of the Saerree K. and Louis P. Fiedler Chair in chemistry (RBG). JŠ thanks the HU for a postdoctoral Golda Meir Fellowship for the years 2009–2010 and 2010–2011. Thanks also to Dr Brina Brauer for providing us with source codes.
References
- 1.Cheng JX, Xie XS. Coherent anti-Stokes Raman Scattering Microscopy: Instrumentation, Theory and Applications. J. Phys. Chem. B. 2004;108(3):827–840. [Google Scholar]
- 2.Evans CL, Xie XS. Coherent Anti-Stokes Raman Scattering Microscopy: Chemical Imaging for Biology and Medicine. Annu. Rev. Anal. Chem. 2008;1:883–909. doi: 10.1146/annurev.anchem.1.031207.112754. [DOI] [PubMed] [Google Scholar]
- 3.Freudiger CW, Min W, Saar BG, Lu S, Holtom GR, He C, Tsai JC, Kang JX, Xie XS. Label-Free Biomedical Imaging with High Sensitivity by Stimulated Raman Scattering Microscopy. Science. 2008;322:1857–1861. doi: 10.1126/science.1165758. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Cheng JX, Volkmer A, Book LD, Xie XS. Multiplex coherent anti-Stokes Raman scattering microspectroscopy and study of lipid vesicles. J. Phys. Chem. B. 2002;106(34):8493–8498. [Google Scholar]
- 5.Lu R, Gan W, Wu BH, Zhang Z, Guo Y, Wang HF. C–H stretching vibrations of methyl, methylene and methine groups at the vapor/alcohol (n = 1–8) interfaces. J. Phys. Chem. B. 2005;109(29):14118–14129. doi: 10.1021/jp051565q. [DOI] [PubMed] [Google Scholar]
- 6.Hellerer T, Axäng T, Brackmann C, Hillertz P, Pilon M, Enejder A. Monitoring of lipid storage in Caenorhabditis elegans using coherent anti-Stokes Raman scattering (CARS) microscopy. Proc. Natl. Acad. Sci. U. S. A. 2007;104(37):14658–14663. doi: 10.1073/pnas.0703594104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Huff TB, Cheng JX. In vivo coherent anti-Stokes Raman scattering imaging of sciatic nerve tissues. J. Microsc. 2007;225(2):175–182. doi: 10.1111/j.1365-2818.2007.01729.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Nan X, Cheng JX, Xie XS. Vibrational imaging of lipid droplets in live fibroblast cells with coherent anti-Stokes Raman scattering microscopy. J. Lipid. Res. 2003;44(11):2202–2208. doi: 10.1194/jlr.D300022-JLR200. [DOI] [PubMed] [Google Scholar]
- 9.Wang HW, Langohr IM, Sturek M, Cheng JX. Imaging and quantitative analysis of atherosclerotic lesions by CARS-based multimodal nonlinear optical microscopy. Arterioscler., Thromb., Vasc. Biol. 2009;29(9):1342–1348. doi: 10.1161/ATVBAHA.109.189316. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Gaber BP, Peticolas WL. On the quantitative interpretation of biomembrane structure by Raman spectroscopy. Biochim. Biophys. Acta, Biomembr. 1977;465(2):260–274. doi: 10.1016/0005-2736(77)90078-5. [DOI] [PubMed] [Google Scholar]
- 11.Snyder RG. Vibrational study of the chain conformation of the liquid n-paraffins and molten polyethylene. J. Chem. Phys. 1967;47(4):1316–1360. [Google Scholar]
- 12.Snyder RG, Hsu SL, Krimm S. Vibrational spectra in the C–H stretching region and the structure of the polymethylene chain. Spectrochim. Acta. 1978;34A(12):395–406. [Google Scholar]
- 13.Snyder RG, Strauss HL, Elliger CA. C–H stretching modes and structure of n-alkyl chains 1. Long, disordered chains. J. Phys. Chem. 1982;86(26):5145–5150. [Google Scholar]
- 14.Kodati VR, El-Jastimi R, Lafleur M. Contribution of the intermolecular coupling and librotorsional mobility in the methylene stretching modes on the infrared spectra of acyl chains. J. Phys. Chem. 1994;98(47):12191–12197. [Google Scholar]
- 15.Rinia HA, Burger KNJ, Bonn M, Müller M. Quantitative Label-Free Imaging of Lipid Composition and Packing of Individual Cellular Lipid Droplets Using Multiplex CARS Microscopy. Biophys. J. 2008;95(10):4908–4914. doi: 10.1529/biophysj.108.137737. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Wurpel GWH, Rinia HA, Müller M. Imaging orientational order and lipid density in multilamellar vesicles with multiplex CARS microscopy. J. Microsc. 2005;218(1):37–45. doi: 10.1111/j.1365-2818.2005.01462.x. [DOI] [PubMed] [Google Scholar]
- 17.Devlin MT, Levin IW. Raman spectroscopic studies of the packing properties of mixed dihexadecyl- and dipalmitoyl-phosphotidylcholine bilayer dispersions. Biochemistry. 1989;28(22):8912–8920. doi: 10.1021/bi00448a034. [DOI] [PubMed] [Google Scholar]
- 18.Verma SP, Wallach DFH. Raman spectroscopy of lipids and membranes. In: Chapman D, editor. Biomembrane structure and function. Basel: Verlag Chemie; 1984. pp. 167–198. [Google Scholar]
- 19.Wilson EB, Decius JC, Cross PC. Molecular Vibrations. New York: McGraw-Hill; 1955. [Google Scholar]
- 20.Miyazawa T, Shimanouchi T, Mizushima S-I. Normal vibrations of N-methyl acetamide. J. Chem. Phys. 1958;29:611–616. [Google Scholar]
- 21.Gwinn WD. Normal Coordinates––General Theory, Redundant Coordinates and General Analysis Using Electronic Computers. J. Chem. Phys. 1971;55(2):477–481. [Google Scholar]
- 22.Mirkin NG, Krimm S. Ab initio vibrational analysis of hydrogen-bonded trans- and cis-N-methylacetamide. J. Am. Chem. Soc. 1991;113:9742–9747. [Google Scholar]
- 23.Csaszar AG. On the structures of free glycine and alpha-alanine. J. Mol. Struct. 1995;346:141–152. [Google Scholar]
- 24.Csaszar AG. Conformers of gaseous alpha-alanine. J. Phys. Chem. 1996;100(9):3541–3551. [Google Scholar]
- 25.Roitberg A, Gerber RB, Elber R, Ratner MA. Anharmonic Wavefunctions of Proteins––Quantum Self-Consistent-Field Calculations of Bpti. Science. 1995;268(5215):1319–1322. doi: 10.1126/science.7539156. [DOI] [PubMed] [Google Scholar]
- 26.Brauer B, Gerber RB, Kabeláč M, Hobza P, Bakker JM, Riziq AGA, de Vries MS. Vibrational spectroscopy of the G⋯C base pair: Experiment, harmonic and anharmonic calculations and the nature of the anharmonic couplings. J. Phys. Chem. A. 2005;109(31):6974–6984. doi: 10.1021/jp051767m. [DOI] [PubMed] [Google Scholar]
- 27.Brauer B, Dubnikova F, Zeiri Y, Kosloff R, Gerber RB. Vibrational spectroscopy of triacetone triperoxide (TATP): Anharmonic fundamentals, overtones and combination bands. Spectrochim. Acta, Part A. 2008;71(4):1438–1445. doi: 10.1016/j.saa.2008.04.022. [DOI] [PubMed] [Google Scholar]
- 28.Cappelli C, Monti S, Scalmani G, Barone V. On the Calculation of Vibrational Frequencies for Molecules in Solution Beyond the Harmonic Approximation. J. Chem. Theory Comput. 2010;6(5):1660–1669. doi: 10.1021/ct100048g. [DOI] [PubMed] [Google Scholar]
- 29.Jiang L, Wende T, Bergmann R, Meijer G, Asmis KR. Gas-phase Vibrational Spectroscopy of Microhydrated Magnesium Nitrate Ions [MgNO3(H2O)(1–4)] J. Am. Chem. Soc. 2010;132(21):7398–7404. doi: 10.1021/ja1011806. [DOI] [PubMed] [Google Scholar]
- 30.Jung JO, Gerber RB. Vibrational wave functions and spectroscopy of (H2O)(n), n=2, 3, 4, 5: Vibrational self-consistent field with correlation corrections. J. Chem. Phys. 1996;105(23):10332–10348. [Google Scholar]
- 31.Stewart JPP. Optimization of parameters for semiempirical methods. I. Method. J. Comput. Chem. 1989;10(2):209–220. [Google Scholar]
- 32.Brauer B, Chaban GM, Gerber RB. Spectroscopically-tested, improved, semi-empirical potentials for biological molecules: Calculations for glycine, alanine and proline. Phys. Chem. Chem. Phys. 2004;6(10):2543–2556. [Google Scholar]
- 33.Allinger NL, Yuh YH, Lii J-H. Molecular Mechanics. The MM3 Force Field for Hydrocarbons. 1. J. Am. Chem. Soc. 1989;111(23):8551–8566. [Google Scholar]
- 34.Ponder, Tinker JW. Software Tools for Molecular Design, 3.8. Saint Louis: Washington University School of Medicine; 2000. [Google Scholar]
- 35.Schmidt MW, Baldridge KK, Boatz JA, Elbert ST, Gordon MS, Jensen JH, Koseki S, Matsunaga N, Nguyen KA, Su SJ, Windus TL, Dupuis M, Montgomery JA. General Atomic and Molecular Electronic-Structure System. J. Comput. Chem. 1993;14(11):1347–1363. [Google Scholar]
- 36.Møller C, Plesset MS. Note on an approximation treatment for many-electron systems. Phys. Rev. 1934;46(7):618–622. [Google Scholar]
- 37.Dunning TH., Jr Gaussian Basis Sets for Use in Correlated Molecular Calculations. I. The Atoms Boron through Neon and Hydrogen. J. Chem. Phys. 1989;90(2):1007–1023. [Google Scholar]
- 38.Kendall RA, Dunning TH, Jr, Harrison RJ. Electron affinities of the first-row atoms revisited. Systematic basis sets and wave functions. J. Chem. Phys. 1992;96(9):6796–6806. [Google Scholar]
- 39.Bowman JM. Self-Consistent Field Energies and Wavefunctions for Coupled Oscillators. J. Chem. Phys. 1978;68(2):608–610. [Google Scholar]
- 40.Bowman JM. The Self-Consistent-Field Approach to Polyatomic Vibrations. Acc. Chem. Res. 1986;19(7):202–208. [Google Scholar]
- 41.Gerber RB, Ratner MA. Semi-Classical Self-Consistent Field (Sc Scf) Approximation for Eigenvalues of Coupled-Vibration Systems. Chem. Phys. Lett. 1979;68(1):195–198. [Google Scholar]
- 42.Gerber RB, Ratner MA. Self-Consistent-Field Methods for Vibrational Excitations in Polyatomic Systems. Adv. Chem. Phys. 1988;70:97–132. [Google Scholar]
- 43.Gregurick SK, Fredj E, Elber R, Gerber RB. Vibrational spectroscopy of peptides and peptide–water complexes: Anharmonic coupled-mode calculations. J. Phys. Chem. B. 1997;101(42):8595–8606. [Google Scholar]
- 44.Gregurick SK, Liu JH-Y, Brant DA, Gerber RB. Anharmonic vibrational self-consistent field calculations as an approach to improving force fields for monosaccharides. J. Phys. Chem. B. 1999;103(7):3476–3488. [Google Scholar]
- 45.Chaban GM, Jung JO, Gerber RB. Anharmonic vibrational spectroscopy of glycine: Testing of ab initio and empirical potentials. J. Phys. Chem. A. 2000;104(44):10035–10044. [Google Scholar]
- 46.Bihary Z, Gerber RB, Apkarian VA. Vibrational self-consistent field approach to anharmonic spectroscopy of molecules in solids: Application to iodine in argon matrix. J. Chem. Phys. 2001;115(6):2695–2701. [Google Scholar]
- 47.Gerber RB, Brauer B, Gregurick SK, Chaban GM. Calculation of anharmonic vibrational spectroscopy of small biological molecules. PhysChemComm. 2002;5:142–150. [Google Scholar]
- 48.Neugebauer J, Hess BA. Fundamental vibrational frequencies of small polyatomic molecules from density-functional calculations and vibrational perturbation theory. J. Chem. Phys. 2003;118(16):7215–7225. [Google Scholar]
- 49.Espinoza C, Szczepanski J, Vala M, Polfer NC. Glycine and Its Hydrated Complexes: A Matrix Isolation Infrared Study. J. Phys. Chem. A. 2010;114(18):5919–5927. doi: 10.1021/jp1014115. [DOI] [PubMed] [Google Scholar]
- 50.Seidler P, Kaga T, Yagi K, Christiansen O, Hirao K. On the coupling strength in potential energy surfaces for vibrational calculations. Chem. Phys. Lett. 2009;483(1–3):138–142. [Google Scholar]
- 51.Chaban GM, Jung JO, Gerber RB. Anharmonic vibrational spectroscopy of hydrogen-bonded systems directly computed from ab initio potential surfaces: (H2O)(n), n = 2, 3; Cl–(H2O)(n), n = 1, 2; H + (H2O)(n), n = 1, 2; H2O–CH3OH. J. Phys. Chem. A. 2000;104(12):2772–2779. [Google Scholar]
- 52.Shundalov MB, Pitsevich GA, Ksenofontov MA, Umreiko DS. Quantum-chemical calculations of the structure, vibrational spectra and torsional and inversion potentials of methylcarbamate. J. Appl. Spectrosc. 2009;76(3):325–333. [Google Scholar]
- 53.Christiansen O, Luis JM. Beyond vibrational self-consistent-field methods: Benchmark calculations for the fundamental vibrations of ethylene. Int. J. Quantum Chem. 2005;104:667–680. [Google Scholar]
- 54.Kowal AT. Computational study of the equilibrium geometry and anharmonic vibrational spectra of PbX2⋯NO and PbX2⋯ON (X = F, Cl, Br, I) complexes. Mol. Phys. 2010;108(12):1665–1675. [Google Scholar]
- 55.Gerber RB, Chaban GM, Brauer B, Miller Y. Theory and applications of computational chemistry: the first 40 years. 2005;ch. 9:165–193. [Google Scholar]
- 56.Suwan I, Gerber RB. VSCF in internal coordinates and the calculations of anharmonic torsional mode transitions. Chem. Phys. 2010;373:267–273. [Google Scholar]
- 57.Jung JO, Gerber RB. Vibrational wave functions and energy levels of large anharmonic clusters: A vibrational SCF study of Ar13. J. Chem. Phys. 1996;105(24):10682–10690. [Google Scholar]
- 58.Norris LS, Ratner MA, Roitberg AE, Gerber RB. Moller–Plesset perturbation theory applied to vibrational problems. J. Chem. Phys. 1996;105(24):11261–11267. [Google Scholar]
- 59.Pele L, Brauer B, Gerber RB. Acceleration of correlation-corrected vibrational self-consistent field calculation times for large polyatomic molecules. Theor. Chem. Acc. 2007;117(1):69–72. [Google Scholar]
- 60.Pele L, Gerber RB. On the number of significant mode–mode anharmonic couplings in vibrational calculations: Correlation-corrected vibrational self-consistent field treatment of di-, tri- and tetrapeptides. J. Chem. Phys. 2008;128(16):165105. doi: 10.1063/1.2909558. [DOI] [PubMed] [Google Scholar]
- 61.Benoit DM. Efficient correlation-corrected vibrational self-consistent field computation of OH-stretch frequencies using a low-scaling algorithm. J. Chem. Phys. 2006;125(24):244110–244111. doi: 10.1063/1.2423006. [DOI] [PubMed] [Google Scholar]
- 62.Matsunaga N, Chaban GM, Gerber RB. Degenerate perturbation theory corrections for the vibrational self-consistent field approximation: Method and applications. J. Chem. Phys. 2002;117(8):3541–3547. [Google Scholar]
- 63.Daněček P, Bouř P. Comparison of the Numerical Stability of Methods for Anharmonic Calculations of Vibrational Molecular Energies. J. Comput. Chem. 2007;28(10):1617–1624. doi: 10.1002/jcc.20654. [DOI] [PubMed] [Google Scholar]
- 64.Respondek I, Benoit DM. Fast degenerate correlation-corrected vibrational self-consistent field calculations of the vibrational spectrum of 4-mercaptopyridine. J. Chem. Phys. 2009;131(5):054109. doi: 10.1063/1.3193708. [DOI] [PubMed] [Google Scholar]
- 65.Chaban GM, Jung JO, Gerber RB. Ab initio calculation of anharmonic vibrational states of polyatomic systems: Electronic structure combined with vibrational self-consistent field. J. Chem. Phys. 1999;111(5):1823–1829. [Google Scholar]
- 66.Adesokan AA, Fredj E, Brown EC, Gerber RB. Anharmonic vibrational frequency calculations of 5,6-dihydrouracil and its complex with water: testing improved semiempirical potentials for biological molecules. Mol. Phys. 2005;103(11–12):1505–1520. [Google Scholar]
- 67.Adesokan AA, Pan D, Fredj E, Mathies RA, Gerber RB. Anharmonic vibrational calculations modeling the Raman spectra of intermediates in the photoactive yellow protein (PYP) photocycle. J. Am. Chem. Soc. 2007;129(15):4584–4594. doi: 10.1021/ja066903v. [DOI] [PubMed] [Google Scholar]
- 68.Spiker RC, Levin IW. Raman-Spectra and Vibrational Assignments for Dipalmitoyl Phosphatidylcholine and Structurally Related Molecules. Biochim. Biophys. Acta, Lipids Lipid Metab. 1975;388(3):361–373. doi: 10.1016/0005-2760(75)90095-8. [DOI] [PubMed] [Google Scholar]









