Abstract
The conformers of α-serine were investigated by matrix-isolation IR spectroscopy combined with NIR laser irradiation. This method, aided by 2D correlation analysis, enabled unambiguously grouping the spectral lines to individual conformers. On the basis of comparison of at least nine experimentally observed vibrational transitions of each conformer with empirically scaled (SQM) and anharmonic (GVPT2) computed IR spectra, 6 conformers were identified. In addition, the presence of at least one more conformer in Ar matrix was proved, and a short-lived conformer with a half-live of (3.7±0.5)·103 s in N2 matrix was generated by NIR irradiation. The analysis of the NIR laser induced conversions revealed that the excitation of the stretching overtone of both the side-chain and the carboxylic OH groups can effectively promote conformational changes, but remarkably different paths were observed for the two kinds of excitations.
Keywords: amino acids, conformational analysis, photochemistry, matrix isolation, IR spectroscopy, generalized two-dimensional correlation spectroscopy, anharmonic computations
1. Introduction
In order to understand and explain the behavior of large, biologically relevant molecules, the properties of their fragments need to be well understood. The building blocks of proteins, the amino acids, are among the most thoroughly investigated small molecules. Exploring the conformational space of gas-phase amino acids can be of interest, because in several cases some conformers that on the basis of high-level quantum chemical computations are expected to be present in the gas phase, cannot be experimentally observed. Comparing the observed and the expected conformers can be very useful for understanding the conformational distribution and dynamics of larger systems.
Several amino acids have already been investigated in detail in relation to their conformational space. Among the most used experimental methods for the study of the conformational distribution of gas-phase amino acids are jet-cooled microwave (MW) and matrix-isolation infrared spectroscopy (MI-IR). The latter method has been used for the investigation of glycine,1–7 alanine,8–12 cysteine,13,14 leucine,15 isoleucine,16 phenylalanine,17 proline,18,19 tyrosine,20 tryptophan,21 asparagine,22 lysine,23 serine,24–26 β-alanine27,28 and β-aminoisobutyric acid.29
The application of MI-IR spectroscopy for conformational studies is made possible by the fact that the conformational distribution observable at the inlet temperature is at the first glance retained during the quick freezing of the matrix. However, this does not hold when the conformational barrier between two conformers is too low (<5 kJ mol–1) or when a conformer can easily convert into a lower-energy conformer via tunneling.30,31,32 Flexible molecules, like amino acids often have many stable low-energy conformers of which almost all are present to some extent in the matrix. Fully anharmonic vibrational computations, including fundamental, overtones and combination bands33 permit to simulate either low-intensity features related to non-fundamental transitions of the most abundant conformer and the fundamental transitions of the less abundant ones.34,35 However, the presence of several conformers often makes the spectrum very congested. The high accuracy required to distinguish between the conformers, without further information, is hardly achievable even by the state-of-the art quantum mechanical (QM) computations feasible for medium-size molecules. In order to facilitate the assignment of conformers, experiments in which the conformational ratio is shifted are often used. The conformational distribution can be changed non-selectively (e.g., by annealing the matrix,1,30,36 or applying broad-band UV irradiation4,25) or selectively (e.g., by NIR laser irradiation6,7,11,12,14). The latter method was used in the present study.
There have been both theoretical and experimental studies on the conformational distribution of serine. Unfortunately, most of the theoretical studies were performed at a low-level of theory or only took subgroups of conformers into account.37–39 The most detailed computational investigation was performed by Gronert and O’Hair40 starting from all the possible combinations of single-bond rotamers of serine (a total of 324 structures). These structures were first optimized at the semiempirical AM1 level. Based on the results of this optimization, further computations were performed for 71 conformers at the HF/6-31G* level. Finally those 51 conformers that had a relative energy difference lower than 50 kJ mol–1 were reoptimized at the MP2/6-31+G* level.
Lambie et al. investigated the conformational distribution of serine using MI-IR spectroscopy.24 On the basis of the computations performed by Gronert and O’Hair,40 they optimized 12 conformers with the lowest energies at the DFT(B3LYP)/6-31++G** level. Vibrational frequencies were also computed for these conformers and scaled with the Scaled Quantum Mechanical (SQM) force field method. The four lowest energy conformers were identified experimentally. However, the assignments were not supported with experiments in which the conformational ratio was shifted.
One of the authors of the present paper and his coworkers, also used MI-IR spectroscopy for the investigation of the conformational distribution of serine.25 A conformational search was performed, starting again from 324 rotamers, through geometry optimization at the HF/3-21G* level of approximation. At that level of theory, 71 conformers were identified. After reoptimization at the DFT/B3LYP/6-311++G** level of theory, 61 conformers were found. Finally, the MP2/6-311++G** level of theory was used for the optimization of the 9 lowest energy conformers. Vibrational frequencies were also computed for these conformers. Except for OH-stretching, the vibrational frequencies were scaled using a single scaling factor. In those experiments, MI-IR spectroscopy was combined with UV photolysis to change the relative abundance of the different conformers. To further support the assignments, all measurements were also carried out for 3,3-dideutero-serine. The conclusion of that study was that most likely all the 9 low-energy conformers were present in the matrix, but an unambiguous line-by-line assignment was not achieved, especially for the overlapping bands.
Alonso et al. investigated the conformers of serine using Fourier transform microwave spectroscopy.41 Serine was vaporized by laser ablation and expanded using a supersonic jet. They have performed MP2/6-31++G** computations for the 10 lowest energy conformers reported by Gronert and O’Hair.40 The computations predicted rotational constants, nuclear quadrupole coupling parameters and electric dipole moments for these conformers. In the supersonic jet seven conformers of serine were identified (conformers 1, 2, 3, 4, 6, 7 and 10). Most likely due to collisional relaxation a few lower-energy conformers could not be identified.
The goal of the present study was to reinvestigate the conformational distribution of serine using MI-IR spectroscopy together with selective NIR-laser irradiation. As it is shown in detail below, this method, combined with 2D correlation spectroscopic analysis, enabled us to unambiguously assign the lines of a very congested MI-IR spectrum to different conformers, i.e. single conformer spectra could be deduced. On the basis of high-level QM computations, the bands experimentally assigned to the same conformer could unambiguously be ascribed to one of the computationally predicted low-energy conformers.
2. Methods
2.1. MI-IR Measurements
α-Serine (Fluka, puriss) was evaporated into the vacuum chamber using a home-built Knudsen effusion cell. The evaporated sample was mixed with argon (Messer, 99.9999%) or nitrogen (Messer, 99.999%) before deposition. The gas flow was kept at ~0.07 mmol min−1 for MIR and ~0.04 mmol min−1 for NIR measurements; the evaporation temperature was ~441±5 K. Under the present experimental conditions, serine decomposed to ethanolamine and CO2 to some extent. However, since the analysis of the spectra has not been focused on the spectra measured after deposition, but on both the difference spectra and the 2D correlation spectra (see Section 2.3.), the presence of ethanolamine did not make the analysis more complicated. In independent experiments, in which we have irradiated an ethanolamine:Ar matrix at the same NIR wavelengths that we used for the serine experiments, we verified that the bands of ethanolamine are not assigned to serine conformers.
The sample–rare gas mixture was deposited onto a cold (8–12 K for MIR, 12–14 K for NIR) CsI window, attached to a Janis CCS-350R cold head cooled by a CTI Cryogenics 22 closed-cycle refrigerator unit. The temperature of the cold window was controlled by a Lake Shore 321 thermostat equipped with a silicon diode thermometer. The cold window was set at 45° to the optical path of the spectrometer, and the irradiating laser beam was perpendicular to the optical path.
All MI-IR spectra were recorded by a Bruker IFS 55 spectrometer, using an MCT detector with a tungsten lamp for the 2500–8000 cm−1 (NIR) region, and with a Globar source for the 580–4000 cm−1 (MIR) range. The spectra were recorded at 1 cm−1 instrumental resolution. For the measurement of overtones, in the NIR region, at least 2000 scans were accumulated, while in the MIR spectral region spectra consisted of 1024 scans.
Conformational changes were selectively induced by an optical parametric oscillator (VersaScan MB 240 OPO, GWU/Spectra Physics) pumped with the third harmonic (355 nm) of a pulsed (10 Hz, 2–3 ns) Quanta Ray Lab 150 Nd:YAG laser (Spectra Physics). The line width of the idler (NIR) output of the OPO was about 5 cm−1, and the pulse energies were 10–15 mJ. The laser beam was unfocused; its diameter was about 0.8 cm. The OPO was calibrated in preliminary experiments by optimizing for the shortest bleaching time of an irradiated species monitored by FT-IR measurements.
For the lifetime measurements of short-lived conformers (in N2 matrix), 160 scans were recorded every 5 minutes. An LPW 3860 low pass filter was placed between the detector and the cold window to make measurements during irradiation possible.
2.2. Computational details
In the present study those 14 low-energy conformers were considered that were reported either in Ref. 24 or in Ref. 25 (see Table 1 for notations and Figure 1). Initial geometries for geometry optimizations were roughly set to the previously reported structures, and were optimized at the B3LYP42,43/6-31++G**,44–47 B3LYP-D348/SNSD33 and at the B2PLYP49,50-D3/maug-cc-pVTZ51 (d functions on hydrogens have been removed) levels of theory. The optimizations were followed by second derivative calculations to determine whether the obtained stationary points correspond to minima. Harmonic vibrational frequencies and intensities were computed at the B3LYP/6-31++G** and B2PLYP-D3/maug-cc-pVTZ levels of theory. The B3LYP/6-31++G** vibrational frequencies were scaled using the SQM force field scheme52,53 with scaling factors determined for Ar matrix experiments by Fábri et al.54 Anharmonic computations were performed within the hybrid B2PLYP-D3/B3LYP-D3 model33 where B2PLYP-D3/maug-cc-pVTZ harmonic force field has been combined with cubic and semi-diagonal quartic constants obtained by numerical differentiation of the B3LYP-D3/SNSD analytical second derivatives along each active normal coordinate (with the standard 0.01 Å step) at the B3LYP-D3/SNSD geometries optimized with tight convergence criteria.
Table 1.
The 14 low-energy conformers of serine with relative Gibbs free energies at 0 K and 441 K (in kJ mol−1), and the correlation between the conformer notation of different publications.
Conformer notation | ΔG°0K | ΔG°441K | ||||
---|---|---|---|---|---|---|
This work | Ref. 25 | Ref. 24 | Ref. 40 | B3LYP/6-31++G** (Harmonic ZPVE) |
B2PLYP-D3/maug-cc-pVTZa (Anharmonic ZPVE) |
B2PLYP-D3/maug-cc-pVTZb (Anharmonic ZPVE) |
1 | 1 | 1 | Ia | 0.00 | 0.00 | 1.48 |
2 | 2 | 2 | IIb | 0.51 | 0.36 | 0.00 |
3 | 3 | 3 | IIc | 2.16 | 2.96 | 4.41 |
4 | 4 | 4 | I’b | 3.76 | 2.92 | 6.01 |
5 | 6 | 5 | IIIαa | 6.51 | 6.65 | 6.55 |
6 | 5 | IIa | 6.62 | 7.01 | 10.27 | |
7 | 7 | 6 | IIIβb | 6.73 | 5.08 | 5.72 |
8 | 8 | 7 | 6.86 | 7.90 | 12.50 | |
9 | 9 | 7.05 | 6.79 | 12.99 | ||
10 | 8 | IIIβc | 8.73 | 7.50 | 11.66 | |
11 | 9 | Ib | 9.76 | 7.48 | 7.60 | |
12 | 10 | Ic | 10.93 | 10.33 | 10.32 | |
13 | 11 | 12.70 | 11.44 | 14.75 | ||
14 | 12 | 16.62 | 15.09 | 17.71 |
Electronic energy at the B2PLYP-D3/maug-cc-pVTZ level and anharmonic ZPVE correction from hybrid B2PLYP-D3/maug-cc-pVTZ//B3LYP-D3/SNSD computations.
Electronic energy at the B2PLYP-D3/maug-cc-pVTZ level and thermodynamic contributions computed by means of the HRAO58 model using the hybrid B2PLYP-D3/maug-cc-pVTZ//B3LYP-D3/SNSD force field, in conjunction with HDCPT258 computations and simple perturbation theory.58,66 The three lowest vibrations have been described by hindered-rotor contributions computed by an automatic procedure.65
Figure 1.
The 14 low-energy conformers of serine.
The computations beyond the double-harmonic approximation have been performed within the VPT2 approach.55,56 In particular, thermodynamic properties, vibrational frequencies and intensities for fundamentals, overtones and combination bands, have been obtained by a general VPT2 platform57–61 developed and implemented in the GAUSSIAN suite of programs for quantum chemistry by Barone and Bloino. Within the generalized VPT2 scheme (GVPT2), the nearly-resonant contributions are removed from the perturbative treatment and variationally treated in a second step.57,61,62 In the present work the criteria proposed by Martin et al.63 have been applied for Fermi resonances along with the ones proposed by Bloino et. al59,60 for the 1–1 and 1–3 resonances. In computation of IR intensities resonance thresholds have been varied in order to obtain converged results.
In addition to the simulation of fully anharmonic IR spectra, the B2PLYP-D3/B3LYP-D3 force fields were employed to compute resonance-free hybrid degeneracy-corrected VPT2 (HDCPT2)58 vibrational wavenumbers and zero point vibrational energies (ZPVE),57,64 which were subsequently used in the evaluation of thermodynamic properties. For the proper treatment of torsional anharmonicity, we employed a Hindered-Rotor Anharmonic Oscillator (HRAO) model, which is a generalization of the Hindered-Rotor Harmonic Oscillator approach.65 The HRAO model automatically identifies internal rotation modes and rotating groups in the normal-mode vibrational analysis and employs an effective analytical approximation of the partition function for a one-dimensional hindered internal rotation. The contributions of the remaining modes are then computed by means of HDCPT2 coupled to the simple perturbation theory (SPT)58,66 approach to the partition function. In the specific case of serine, for all conformers, the three lowest energy vibrations were treated as hindered rotations.
Transitions structures were located and barrier heights were determined at the B2PLYP-D3/maug-cc-pVTZ level of theory using the Synchronous Transit-Guided Quasi-Newton (STQN) method.67,68
SQM computations were carried out by the PQS (Parallel Quantum Solutions) 3.369 program package. All VPT2 computations were performed employing a locally modified version of the GAUSSIAN suite of programs.70
2.3. Difference spectra and 2D correlation analysis
For the analysis of the MIR spectra, difference spectra were computed by subtracting the spectrum recorded before from the one recorded after a certain NIR irradiation. In the case of molecules with few conformers this irradiation is usually selective, and consequently the negative bands of a difference spectrum belong to a single conformer. In contrast to this situation, for larger flexible molecules with numerous conformers, like serine, due to overlaps, the laser light can excite a number of conformers. In these cases the negative peaks of the difference spectrum belong to several conformers, making the analysis of the results more complex. In order to facilitate the sorting of the spectral bands to individual conformers, two different (i.e., Noda-type ‘generalized’ and ‘simple’) types of 2D correlation spectroscopic analysis were initially applied.
The principles of generalized 2D correlation spectroscopy were laid down by Noda, who has summarized the basics and the new developments of this method in several reviews71–77 and in a recent book.78 To construct a Noda-type generalized 2D correlation spectrum, a systematic change in a parameter (e.g., pH, temperature, reaction time) is required. In our case this parameter was the irradiation time. To get the 2D correlation spectra an irradiation at a given wavelength was performed for 2 hours, and single spectra were obtained in every 5 minutes from the average of 160 interferograms. From the spectra recorded as a function of time, a 2D spectrum with a synchronous (Φ) and an asynchronous part (Ψ) can be computed according to eq. 1:
(1) |
where ω is the dynamic parameter, T is the total time of the NIR irradiation, Ỹi(ω) is a Fourier-transformed spectrum:
(2) |
where à (ν̃, t) is the absorbance measured at ν frequency at t time corrected by the absorbance of the reference spectrum measured at ν frequency. In the present case reference spectrum was considered to be the spectrum measured at the end of the irradiation, therefore:
(3) |
In the synchronous spectrum the positive off-diagonal peaks belong to bands that evolve similarly upon the investigated irradiation, and therefore might belong to the same conformer. The negative peaks of the synchronous spectrum belong to starting and product conformer pairs. If the irradiation produces a conformer that also absorbs the NIR laser photons, then its concentration has a maximum as the function of irradiation time. The bands of this conformer are expected to show off-diagonal peaks in the asynchronous spectrum with the bands of both the starting and product conformers. Furthermore, the cross peaks of the starting and the final product conformer also appear in the asynchronous spectrum.
To obtain a general view of the difference spectra, and see which bands tend to change together, a different, simple 2D correlation spectroscopic analysis was used. The construction of this 2D correlation spectrum does not require a systematic change of a parameter. The simple 2D correlation spectrum was generated from the difference spectra of the different irradiation experiments in the following manner:
(4) |
where C(ν̃, ν̃′) is the amplitude of the 2D correlation spectrum at (ν̃, ν̃′), and ΔAi(ν̃) is the signed absorbance in the ith difference spectrum at ν̃. The ΔAi(ν̃)ΔAi(ν̃′) terms are summed up for all difference spectra. Although in this case there is not a parameter that is monotonously changing, this definition is mathematically equivalent to the evaluation of the synchronous part of the generalized 2D correlation spectrum. This means that there is no phase information (i.e., the asynchronous spectrum), and all irradiations are taken into account together. Thus, the simple 2D correlation spectrum provides a statistics on all the difference spectra at once. The properties of the simple 2D correlation spectrum are the same as that of Noda’s synchronous 2D spectrum. For evaluation purposes, 1D cross sections of the spectrum were considered. In the diagonal cross section, each band appears that changed upon at least one irradiation. If a cross section is taken at a wavenumber belonging to a band, each band that correlates with the chosen peak appears with a positive sign, and those that anti-correlate with it appear with a negative sign. The well-separated bands that show anti-correlation cannot belong to the same conformer, while the bands that show correlation can (though not necessarily) originate from the same conformer. For overlapping bands the 2D correlation spectrum shows probabilities. The more difference spectra are included in the construction of the simple 2D correlation spectrum, the less likely bands of two different conformers show strong correlations. For plotting and evaluating the simple 2D correlation spectrum, the TopSpin 3.1 program was used.
The identification of the strong correlation peaks, either in the simple or in the generalized 2D correlation spectra, provides a good starting point for assigning the spectral bands to individual conformers. The bands with the largest intensities in the 1D cross-sections of the 2D correlation spectra were used to identify the conformers. For refining the assignments the original difference spectra were used, because these contain more information than the 2D correlation spectra. By comparing the 2D correlation spectrum sections with the individual difference spectra, the selective irradiations could be identified. If the positive bands appearing in the 2D correlation spectrum section match well the negative bands appearing in the difference spectrum, and no additional large intensity bands were found in the corresponding difference spectrum, the selected irradiation was mostly selective and the difference spectrum can be used for identifying the less intense bands of the investigated conformer. Furthermore, the comparison of relative band intensities between two or more difference spectra allows distinguishing even between conformers that behave similarly upon the irradiation experiments, if their rates of abundance change are different in at least two irradiations (see Figures 2–4, and the Supporting Information).
Figure 2.
Low-wavenumber region of the differential MI-IR spectra of the most effective irradiations as observed in an Ar matrix. (Only 2–6 bands of each conformer are labelled.)
Figure 4.
The non-H-bonded OH-stretching region of the differential MI-IR spectra of the most effective irradiations as observed in an Ar matrix.
3. Results and Discussion
The relative energies and relative Gibbs free-energies at the sample inlet temperature (441 K) computed within the harmonic model at the B3LYP/6-31++G** level of theory and within the anharmonic HRAO/SPT2 model at the B2PLYP-D3/maug-cc-pVTZ//B3LYP-D3/SNSD level of theory are summarized for the 14 low-energy conformers in Table 1. In this paper the conformers are denoted according to the relative energy order at the ZPVE corrected B3LYP/6-31++G** of theory. As can be seen from the Table, more advanced computations substantially lower the energy of conformers 4, 11, 13, and 14. These changes can be attributed mainly to the effects of correlation for conformers 4, 13 and 14, while dispersion contribution is the dominant factor for conformer 11 (see Supporting Information Table S1). As it was discussed in Ref. 26, the entropy contribution to Gibbs free energies is notably different for the conformers with different intramolecular H-bonds. As a result of this, the relative Gibbs free energy order at 441 K of the conformers is markedly different from the electronic energy order. Based on these results many conformers are likely to be present in an observable amount at 441 K. In addition, since many of the higher energy conformers are stabilized against conversions to lower energy conformers by intramolecular H-bonds, it is expected (and it is along the lines of former results)17 that many of these conformers remain present upon freezing into the matrix.
In line with the expectations, the MI-IR spectrum of serine is very congested. The mid-IR spectrum and the first OH-stretching overtone region of the NIR spectrum recorded in an Ar matrix are shown in the Supporting Information (Figures S1 and S2). The position of the laser line in the different NIR irradiation experiments is indicated by arrows in Figure S2. According to QM results the OH-stretching bands of several overtones are expected to overlap, for example the 2ν1 of conformers 1 and 5 are predicted to differ by only 4 cm–1. As mentioned above, for the analysis of the spectroscopic data difference spectra and 2D correlation were generated. The difference spectra of the most effective irradiations are illustrated in Figures 2–4.
The simple 2D correlation spectrum was generated from the difference spectra corresponding to the 6960 cm–1, 6950 cm–1, 6941 cm–1, 7162 cm–1, 7150 cm–1, 7082 cm–1, 6965 cm–1, and 6934 cm–1 irradiations (see Figure 5). In addition, the difference spectra which were generated by subtracting the spectrum measured directly after the irradiation from the spectrum measured ca. 12 hours after the irradiation were also used for the generation of the simple 2D correlation spectrum, if there were significant changes in the spectrum upon waiting. Since the IR source of the spectrometer was switched on during this period, these difference spectra show the effect of a NIR laser irradiation followed by broad-band NIR irradiation. These latter difference spectra were generated from the spectra measured after irradiation at 6941 cm–1, 7082 cm–1 and 6965 cm–1.
Figure 5.
Low-wavenumber region of the simple (a), as well as the synchronous (b) and the asynchronous (c) part of the generalized 2D correlation spectrum. The 2D correlation spectra were obtained the difference spectra measured in an Ar matrix, see text for details. (The intensity scales are different in the three cases.)
A generalized 2D correlation spectrum was also used for the analysis. This was generated from the spectra taken during the irradiations at 6941 cm–1 (see Figure 5). This irradiation resulted in the most congested difference spectra and, as the analysis revealed (vide infra), almost all the identified conformers are either depleted or generated by this irradiation. Because of this, practically all the peaks appearing in the simple 2D correlation spectrum show up in the generalized 2D correlation spectrum as well. However, the simple 2D correlation spectrum contains more information, because this spectrum collects contributions from all the irradiations. In the generalized 2D correlation spectrum, all bands of the conformers, which are formed during the irradiation are in anti-correlation with bands of the irradiated conformers. In addition, all bands of the simultaneously irradiated or formed conformers correlate with themselves, while in the simple 2D correlation spectrum they might be separated.
For getting started with the conformational assignments, 1D cross-sections of the 2D correlation spectra were used. Sections were taken at each of the most characteristic carboxylic OH-stretching bands (3566.2 cm–1, 3561.0 cm–1 and 3556.8 cm–1) as well as at the characteristic non-hydrogen bonded side-chain OH-stretching bands (3658.1 cm–1 and 3626.2 cm–1). As an example, the 1D cross section of the simple 2D correlation spectrum along the diagonal, as well as at 3566.2 cm–1, are shown in Figure 6.
Figure 6.
Diagonal cross section (a) and the cross section at 3566.2 cm–1 (b) of the simple 2D correlation spectrum. The 2D correlation spectra were obtained the difference spectra measured in an Ar matrix, see text for details.
3.1. Identification of conformer 4
First, a 1D cross section of the simple 2D correlation spectrum was considered at 3566.2 cm–1 (see Figure 6). Among those peaks that correlate well with this carboxylic OH-stretching band, there are three very characteristic peaks at 860.6 cm–1, 784.8 cm–1 and 747.5 cm–1. These three well resolved bands very likely belong to conformer 4, because this is the only conformer that has predicted large intensity bands in the vicinity of these wavenumbers. This assumption is further supported by the fact that the carboxylic OH group of conformer 4 does not take part in a hydrogen bond (see Figure 1), and the peak at 3566.2 cm–1 is also in the non-hydrogen bonded carboxylic OH-stretching region.
By comparing the 1D cross section of the simple 2D correlation spectrum and the difference spectrum obtained by irradiation at 6960 cm–1, it can be concluded that the irradiation was rather selective, because almost all of the positive peaks seen in the 1D cross section of the correlation spectrum can be observed in the difference spectrum as negative peaks. Upon analysis of the individual difference spectra, it can be observed that the intensity of the three characteristic bands (860.6 cm–1, 784.8 cm–1 and 747.5 cm–1) increased upon irradiation at 6941 cm–1 and 6950 cm–1 (see Figure 2). When identifying the bands and refining the assignments for conformer 4, typically only those bands that decreased upon irradiation at 6960 cm–1 and increased upon irradiation at 6941 cm–1 and 6950 cm–1 were taken into account (some of the positive bands cannot always be observed because of spectral overlap). The complete assignment of conformer 4 is provided in Table 2. The RMS deviation between the computed and the experimental wavenumbers for this conformer is 11.9 cm–1 and 9.6 cm–1, respectively for the SQM and GVPT2 computations, which is within the expected error of these methods.
Table 2.
Assignments of the experimentally observed vibrational transitions of conformer 4 of serine.
Experimental Ar matrix | Computed SQM | Computed GVPT2 | Assignment | |||
---|---|---|---|---|---|---|
ν̃ / cm−1 | intensity | ν̃ / cm−1 | I / km mol−1 | ν̃ / cm−1 | I / km mol−1 | |
3566.2 | vs | 3580 | 80 | 3577 | 76 | ν1 |
3538.6 | w | 3539 | 59 | 3560 | 49 | ν2 |
3426.4 | w | 3449 | 23 | 3451 | 19 | ν3 |
1778.4 | vs | 1757 | 293 | 1768 | 156 | ν8 |
1411.3 | vw | 1409 | 46 | 1405 | 7 | ν11 |
1394.9 | vw | 1394 | 33 | 1392 | 10 | ν12 |
1305.6 | w | 1301 | 33 | 1301 | 39 | ν14 |
1204.0 | w | 1198 | 22 | 1205 | 15 | ν16 |
1186.1 | vw | 1188 | 47 | 1187 | 18 | ν17 |
1137.4 | s | 1134 | 167 | 1137 | 166 | ν18 |
1107.8 | vs | 1091 | 79 | 1101 | 55 | ν19 |
1056.3 | s | 1050 | 89 | 1051 | 84 | ν20 |
899.4 | vw | 887 | 35 | 892 | 54 | ν22 |
860.6 | s | 868 | 82 | 849 | 17 | ν23a |
784.8 | s | 801 | 77 | 788 | 78 | ν24 |
747.5 | s | 736 | 31 | 745 | 36 | ν25 |
616.6 | s | 634 | 80 | 613 | 55 | ν26 |
586.5 | w | 595 | 122 | 585 | 6 | ν27 |
RMS | 11.9 | 9.6 | ||||
MAE | 9.8 | 7.0 | ||||
|MAX| | 22.3 | 24.1 |
The observed and the measured intensities show a major deviation, uncertain assignment.
3.2. Identification of conformer 1
Among all the conformers, conformer 1 has the lowest energy and, after conformer 2, the lowest Gibbs free energy at the sample inlet temperature. Therefore, it is expected to be present in a very large amount in the matrix. The most intense bands of the spectrum likely belong to these two conformers (1 and 2). In contrast to conformer 2, the carboxylic OH group of conformer 1 is not H-bonded, thus the corresponding stretching band is expected to be in the 3550–3560 cm–1 region. In this region, the largest intensity band occurs at 3556.8 cm–1, and the intensity of this band was found to decrease upon irradiation at 6941 cm–1. Therefore, the difference spectrum obtained by this irradiation, together with a 1D cross section of the 2D correlation spectra taken at 3556.8 cm–1 were used for the assignment of conformer 1. As it was expected, the bands that correlate well with the band at 3556.8 cm–1 are among the bands with the largest intensity in the spectrum of the deposited matrix. The positions of these bands agree very well with the computed vibrational frequencies of conformer 1. Note that, as mentioned above, the irradiation at 6941 cm–1 was not completely selective. The carboxylic OH-stretching band at 3561.0 cm–1 also decreased upon this irradiation, along with the small intensity C=O-stretching band at 1754.9 cm–1. As it could be seen from further irradiation experiments, the C=O-stretching band associated to the carboxylic OH-stretching band at 3561.0 cm–1 is observed at 1771.4 cm–1, so that one can conclude that at least 3 conformers were excited simultaneously when irradiation is performed at 6941 cm–1. Because of this, not all negative bands in the difference spectrum were assigned to conformer 1. The assignments for conformer 1 are shown in Table 3. The RMS deviations between the computations and experiments for this conformer are similar to those obtained for conformer 4.
Table 3.
Assignments of the experimentally observed vibrational transitions of conformer 1 of serine.
Experimental Ar matrix |
Computed SQM |
Computed GVPT2 |
Assignment | |||
---|---|---|---|---|---|---|
ν̃ / cm−1 | intensity | ν̃ / cm−1 | I / km mol−1 | ν̃ / cm−1 | I / km mol−1 | |
3556.8 | s | 3567 | 65 | 3566 | 54 | ν1 |
3540.4 | w | 3538 | 69 | 3554 | 61 | ν2 |
3403.6 | w | 3425 | 12 | 3425 | 8 | ν3 |
1773.0 | vs | 1753 | 306 | 1760 | 198 | ν8 |
1410.1 | m | 1405 | 66 | 1409 | 5 | ν11 |
1400.5 | w | 1398 | 15 | 1398 | 10 | ν12 |
1328.3 | w | 1311 | 54 | 1325 | 37 | ν14 |
1278.9 | w | 1263 | 10 | 1272 | 16 | ν15 |
1264.8 | vw | – | – | 1262 | 3 | ν22+ν33 +ν35 |
1162.8 | s | 1159 | 56 | 1164 | 12 | ν17a |
1149.6 | s | 1136 | 98 | 1138 | 49 | ν18 |
1105.5 | vs | 1095 | 126 | 1094 | 148 | ν19 |
1066.2 | vs | 1054 | 143 | 1058 | 93 | ν20 |
927.0 | w | 926 | 78 | 919 | 22 | ν22 |
817.5 | vs | 830 | 112 | 822 | 140 | ν24 |
721.8 | w | 722 | 28 | 724 | 14 | ν25 |
645.3 | w | 649 | 17 | 647 | 9 | ν26 |
RMS | 11.7 | 9.1 | ||||
MAE | 9.5 | 7.2 | ||||
|MAX| | 21.9 | 21.4 |
The observed and the measured intensities show a major deviation, uncertain assignment.
3.3. Identification of conformer 5
The third band in the non-hydrogen-bonded carboxylic OH-stretching region is found at 3561.0 cm–1. The intensity of this band decreased upon irradiation at 6950 cm–1. It was found that each negative band that appeared in the difference spectrum of this irradiation also appeared as a negative band in the difference spectrum of the 6941 cm–1 irradiation. However, in the latter spectrum a few more negative bands were observed. The reason for this is that, upon the 6941 cm–1 irradiation, not only conformer 1, but also the conformer giving rise to the band at 3561.0 cm–1, are being excited, though this latter much less effectively. In contrast to this, the irradiation at 6950 cm–1 was selective, since in the carboxylic OH-stretching region only the intensity of the band at 3561.0 cm–1 decreased. The fact that only a few extra bands appeared in the difference spectrum of the 6941 cm–1 irradiation can be explained by a large spectral overlap of the two conformers. Such a large spectral overlap may occur if the geometry of two conformers is very similar. Among the low-energy conformers, conformer 5 resembles conformer 1 the most. These conformers differ only in rotation of the carboxylic group (see Figure 1). According to the computations, most of the bands of these two conformers differ only by few cm–1, which is comparable to the spectral linewidth in an Ar matrix. Based on these observations, conformer 5 was identified, the assignments of the experimentally observed vibrational bands of this conformer being shown in Table 4.
Table 4.
Assignments of the experimentally observed vibrational transitions of conformer 5 of serine.
Experimental Ar matrix | Computed SQM | Computed GVPT2 | Assignment | |||
---|---|---|---|---|---|---|
ν̃ / cm−1 | intensity | ν̃ / cm−1 | I / km mol−1 | ν̃ / cm−1 | I / km mol−1 | |
3561.0 | s | 3574 | 75 | 3568 | 69 | ν1 |
3516.9 | w | 3542 | 66 | 3558 | 49 | ν2 |
1771.4 | vs | 1756 | 302 | 1765 | 193 | ν8 |
1400.5 | w | 1404 | 69 | 1406 | 27 | ν11 |
1328.3 | w | 1318 | 41 | 1338 | 29 | ν14 |
1265.1 | w | 1259 | 29 | 1266 | 13 | ν15 |
1168.0 | m | 1163 | 33 | 1161 | 11 | ν17 |
1149.6 | s | 1132 | 197 | 1130 | 72 | ν18 |
1105.4 | (s)a | 1102 | 22 | 1110 | 5 | ν19 |
1073.5 | vs | 1055 | 130 | 1057 | 74 | ν20 |
932.6 | s | 902 | 114 | 883 | 68 | ν22 |
815.9 | vs | 806 | 114 | 794 | 108 | ν24 |
722.2 | w | 727 | 30 | 730 | 20 | ν25 |
645.2 | w | 635 | 50 | 633 | 32 | ν26 |
RMS | 14.8 | 20.2 | ||||
MAE | 12.5 | 14.9 | ||||
|MAX| | 30.7 | 49.1 |
This band is very close to one of the strongest bands of conformer 1, which can contribute to the intensity of this negative band even in the difference spectrum of the 6950 cm−1 irradiation.
3.4. Identification of conformers 2 and 6
There is a band in the C=O-stretching region (at ~1788 cm–1) whose intensity increased upon all the irradiations performed in the carboxylic OH-stretching overtone region. It can be presumed that this band belongs to a conformer, or conformers, in which the carboxylic OH group participates in a hydrogen bond. Since this band is quite broad, it is probable that it belongs to more than one conformer.
In order to help the identification of the conformers contributing to this band, irradiations were performed in the non-hydrogen-bonded side-chain OH-stretching overtone region, at 7150 cm–1 and at 7082 cm–1. The intensity of the band at ~1788 cm–1 decreased upon both of these irradiations. For the identification of these conformers the position of the C=O-stretching peak was also considered. Taking into account the above identified conformers and the observations for other amino acids, it can be seen that both the SQM and the GVPT2 computations underestimate the C=O-stretching wavenumber by 10–20 cm–1. According to this, only four low-energy conformers can be considered as candidates for the band at ~1788 cm–1. These are conformers 2, 6, 8, and 9. Only in the case of these conformers can the C=O-stretching wavenumber be expected to be around 1790 cm–1. The further identification of the conformers was based on the analysis of the fingerprint region of the difference spectra: (i) the negative bands in the difference spectrum obtained upon irradiation at 7082 cm–1 can be assigned to conformer 2 with very good confidence. The full assignments for conformer 2 are shown in Table 5; (ii) To decide which conformer was irradiated at 7150 cm–1, the computed spectra of conformers 6, 8 and 9 were tentatively assigned to the negative bands of the difference spectrum. The geometries of conformers 6, 8 and 9 are very similar (only the conformation of the side chain is slightly different). Thus, their spectra are quite similar. Accordingly, considering the SQM computations, assignment of conformers 6 and 8 to the species to be identified gave similar, ~17–19 cm–1, and the assignment to conformer 9 yielded a somewhat larger RMS error (>20 cm–1). Not counting ν4, which seems have a substantial shift due to matrix effects, the RMS errors of the GVPT2 computations are 15 cm–1, 19 cm–1, 19 cm–1 for conformers 6, 8 and 9, respectively. Since for conformer 6 all large intensity bands could be assigned, and this was not the case for conformers 8 and 9, the irradiated conformer is most probably conformer 6. This is also in a good agreement with the fact that this conformer has the lowest computed Gibbs free-energy among the three forms. The assignments of the observed vibrational bands of conformer 6 are shown in Table 6.
Table 5.
Assignments of the experimentally observed vibrational transitions of conformer 2 of serine.
Experimental Ar matrix | Computed SQM | Computed GVPT2 | Assignment | |||
---|---|---|---|---|---|---|
ν̃ / cm−1 | intensity | ν̃ / cm−1 | I / km mol−1 | ν̃ / cm−1 | I / km mol−1 | |
3626.2 | s | 3632 | 44 | 3642 | 39 | ν1 |
3418.6 | vw | 3430 | 17 | 3432 | 10 | ν2 |
3317.9 | (vw)a | 3280 | 283 | 3350 | 393 | ν3 |
1789.2 | vs | 1775 | 320 | 1786 | 174 | ν8 |
1400.0 | s | 1395 | 283 | 1387 | 90 | ν11 |
1385.6 | w | 1350 | 18 | 1372 | 25 | ν12 |
1344.7 | m | 1373 | 150 | 1351 | 102 | ν13b |
1139.7 | w | 1154 | 6 | 1158 | 6 | ν18 |
1095.4 | m | 1073 | 67 | 1083 | 34 | ν19 |
1062.4 | w | 1053 | 17 | 1063 | 13 | ν20 |
975.2 | m | 964 | 82 | 967 | 57 | ν21 |
914.5 | w | 922 | 92 | 913 | 20 | ν22 |
846.4 | w | 874 | 68 | 846 | 61 | ν23 |
RMS | 20.7 | 13.8 | ||||
MAE | 17.8 | 10.8 | ||||
|MAX| | 37.6 | 32.4 |
Broad and overlaps with the nearby band of conformer 6. Since the signs of the bands of conformers 2 and 6 are opposite in the difference spectra, this band is almost completely cancelled.
The observed and the measured intensities show a major deviation, uncertain assignment.
Table 6.
Assignments of the experimentally observed vibrational transitions of conformer 6 of serine.a
Experimental Ar matrix | Computed SQM | Computed GVPT2 | Assignment | |||
---|---|---|---|---|---|---|
ν̃ / cm−1 | intensity | ν̃ / cm−1 | I / km mol−1 | ν̃ / cm−1 | I / km mol−1 | |
3658.1 | s | 3658 | 47 | 3680 | 41 | ν1 |
3406.0 | m | 3419 | 21 | 3421 | 15 | ν2 |
3317.6 | vs | 3272 | 288 | 3238b | 243 | ν4 |
1788.9 | vs | 1784 | 342 | 1790 | 114 | ν8 |
1376.3 | vs | 1389 | 389 | 1355 | 241 | ν12 |
1339.8 | w | 1344 | 35 | 1346 | 23 | ν13 |
1208.9 | m | 1209 | 23 | 1218 | 13 | ν16 |
1056.9 | s | 1079 (1032) | 36 (98) | 1091 (1040) | 31 (58) | ν19 (ν20) |
1038.3 | m | 1032 (–) | 98 (–) | 1040 (1034) | 58 (34) | ν20 (ν34+ν24) |
1002.8 | w | 1004 | 40 | 1005 | 18 | ν21 |
942.7 | m | 944 | 92 | 929 | 53 | ν22 |
872.8 | m | 877 | 71 | 867 | 69 | ν23 |
824.2 | w | 843 | 15 | 838 | 36 | ν24 |
815.9 | m | 863 | 61 | 823 | 36 | ν25 |
725.3 | w | 716 | 14 | 720 | 9 | ν26 |
RMS: | 19.5 (20.3) | 24.8 (23.7)b | ||||
MAE | 12.9 (13.5) | 15.8 (14.9)b | ||||
|MAX| | 47.5 (47.5) | 79.4 (79.4)b |
Alternative assignments are given in parenthesis.
The ν4 mode seemingly has a large matrix shift. A large matrix shift is often observed for OH- and NH-stretching modes, when these vibrations point out to the matrix. (See Ref. 54.) Without ν4, GVPT2 results in 14.5 (12.2), 11.2 (10.3), 34.2 (22.0) cm−1 RMS, MAE and |MAX| errors, respectively.
3.5. Identification of conformer 3
After the identification of the five conformers described above, some bands whose intensity did not decrease upon any of the irradiations still remained unassigned in the spectrum of the deposited matrix. A possible explanation for this is that in the conformer which was responsible for such bands both OH groups are H-bonded, and that the irradiation of the H-bonded OH overtones is not effective. Of the 14 low-energy conformers this is true only for conformer 3. In this conformer the carboxylic OH forms a H-bond with the amino group, while the side-chain OH forms an H-bonded six-member ring with the carbonyl group. Conformer 3 has a low Gibbs free energy, so that it could be expected that its bands were present with relatively large intensity in the spectrum of the deposited matrix, and that the conformer could be formed easily during irradiations. When assigning bands to conformer 3 it had to be taken into account that, because this conformer has only a few predicted intense bands, only its most intense bands should be observed. In consonance with these considerations, some of the positive bands appearing in the difference spectrum belonging to the irradiation at 6941 cm–1 were assigned to the most intense bands of conformer 3 (see Table 7).
Table 7.
Assignments of the experimentally observed vibrational transitions of conformer 3 of serine.a
Experimental Ar matrix | Computed SQM | Computed GVPT2 | Assignment | |||
---|---|---|---|---|---|---|
ν̃ / cm−1 | intensity | ν̃ / cm−1 | I / km mol−1 | ν̃ / cm−1 | I / km mol−1 | |
3518.6 | s | 3530 | 137 | 3532 | 123 | ν1 |
3317.6 | s | 3304 | 257 | 3360 | 290 | ν3 |
1778.3 | vs | 1762 | 298 | 1765 | 79 | ν8 |
1371.4 | vs | 1381 | 479 | 1356 | 191 | ν12 |
1202.0 | w | 1194 | 25 | 1201 | 5 | ν17 |
1042.4 | s | 1055 | 111 | 1063 | 91 | ν20 |
1037.7 | s | 1028 | 50 | 1026 | 30 | ν21 |
871.1 | w | 872 (–) | 87 (–) | 828 (859) | 16 (49) | ν23 (ν32+ν29b) |
832.2 | s | 833 (871) | 142 (87) | 789 (828) | 86 (16) | ν24 (ν23b) |
RMS | 10.6 (17.9) | 27.3 (18.6) | ||||
MAE | 9.3 (15.2) | 22.7 (15.0) | ||||
|MAX| | 16.3 (39.5) | 43.6 (42.5) |
Alternative assignments are given in parenthesis.
The observed and the measured intensities show a major deviation, uncertain assignment.
3.6. Identification of conformers 7/10
As it was already mentioned, the irradiation of the vibrational overtone of the carboxylic OH-stretching of conformer 1, at 6941 cm–1, was not completely selective. Simultaneously, conformer 5 and another conformer with a C=O-stretching band at 1754.9 cm–1 were also irradiated. The intensity of the latter band increases upon irradiation of conformer 5, at 6950 cm–1. By taking into account the above-mentioned systematic error of the computations for the C=O-stretching fundamental wavenumber, of the 14 low-energy conformers of serine, the SQM computations predict the C=O-stretching mode at such a low wavenumber for only two conformers: at 1733 cm–1, for conformer 7, and at 1734 cm–1, for conformer 10. GVPT2 computations further confirm this assumption, with relative wavenumbers of 1745 cm–1 and 1747 cm–1, for conformers 7 and 10, respectively. These two conformers have a similar geometry, with only the geometry of their side chains being different, while the relative geometry of their amino- and carboxyl groups is the same. Thus, their vibrational spectra are expected to be very similar. Both conformers have a non-hydrogen-bonded carboxylic OH group, so that their carboxylic OH-stretching overtones are expected to be near to those of the other conformers with a non-hydrogen-bonded carboxylic OH. This means that these conformers, if present, will likely be irradiated along with conformer 1, 4 or 5. According to the SQM computations, conformers 7 and 10 have one more intense band at 1123 cm–1 (conformer 7) and at 1129 cm–1 (conformer 10), with corresponding GVPT2 values of 1118 cm–1 and 1125 cm–1, respectively. In correspondence with this, a band was observed at 1136 cm–1 in the experimental spectrum, whose behavior upon irradiations matches that of the band at 1754.9 cm–1; its intensity decreased upon irradiation at 6941 cm–1 and increased upon irradiation at 6950 cm–1. Since these conformers cannot be irradiated selectively, only the two most intense bands of them can be unambiguously identified in the difference spectra. Accordingly, it can be concluded that conformer 7, maybe along with the higher-energy conformer 10, is present with a high probability in the matrix; however, based on the present information no additional band assignments could be made for these forms.
3.7. Identification of a short-lived conformer
In former studies on glycine,6,7 alanine,11,12 cysteine14 and β-aminoisobutyric acid29 it was found that some of the NIR irradiations can produce short-lived high-energy conformers that decay quickly after switching off the laser. It was shown that in these conformers the carboxylic group has a cis (E) conformation and it is not stabilized by a H-bond. It was also proved that the cis → trans conversion is a tunneling process, with a half-life of few seconds for glycine and alanine in Ar and Kr matrices. In the case of these two amino acids, and also in the case of small carboxylic acids79–81 substantially longer lifetimes were observed for the short-lived conformers when they were generated in a N2 matrix.
In an Ar matrix we were not able to observe any short-lived serine conformers with lifetime longer than 1–2 seconds, which is the approximate time resolution of our method. Therefore NIR irradiation experiments were carried out in a N2 matrix to search for such species. It was found that irradiation at 6921 cm–1 is the most effective at preparing a short-lived conformer of serine. In the MI-IR spectra, bands at 3587.0 cm–1, 1792.8 cm–1 and 1303.2 cm–1 were observed, which increased after turning on the laser, and decreased after switching off the laser. These bands, especially the one at 1792.8 cm–1 (see Figure 3 in the Supporting Information), somewhat overlap with nearby bands of other conformers. Nevertheless, because these other conformers were found to be stable in the dark, these three bands could in principle be used for evaluation of the half-life (t1/2) of the short-lived conformer. Discarding the quite broad band at 3587.0 cm–1, the measured absorbance (A(t)) of the bands at 1792.8 cm–1 and 1303.2 cm–1 was fitted to an exponential function
(5) |
to evaluate the lifetime (τ, τ = t1/2/ln2). Besides the lifetime, two other parameters were fitted: the absorbance measured when turning off the laser (A0), and, because of the overlapping bands of stable conformers, the absorbance measured at the given wavenumber of the short-lived conformer at infinite time (A∞). The measured absorbances as the function of time in the dark and the fitted decay curves are shown in Figure 7, and the fitted parameters are collected in Table 8. Taking into account that the lifetime depends on the quality of the matrix, we estimate the uncertainty of t1/2 to be ~500 s, thus our best estimate for t1/2 is 3.66·103 s ± 5·102 s in a N2 matrix. This is comparable with the half-lives of the short-lived conformers of glycine (6.7·103 s),7 alanine (2.8·103 s, 9·102 s)11,12 and cysteine (3.2·102 s)14 observed in the same type of matrix. In the case of glycine it was proved both experimentally and computationally that the short-lived conformer decays by H-atom tunneling.7 On the basis of the analogy it is highly probably that the observed short-lived conformer of serine decays by the same mechanism. The product of this reaction is conformer 1.
Figure 7.
Half-life determination of the short-lived conformer in a N2 matrix; measured absorbances at (a) 1792.8 cm–1 and (b) 1303.2 cm–1 as the function of time after switching off the laser, and the fitted decay curves.
Table 8.
Half-life of the short-lived conformer and parameters obtained for fitting Eq. 5 for the absorbances measured in N2 matrix at 1792.8 cm−1 and 1303.2 cm−1.
Parameter | 1792.8 cm−1 | 1303.2 cm−1 | ||
---|---|---|---|---|
value | fitting error | value | fitting error | |
A∞ | 8.6·10−2 | 4.8·10−4 | 2.9·10−2 | 3.9·10−4 |
A0 | 6.7·10−2 | 5.8·10−4 | 4.5·10−2 | 4.2·10−4 |
τ / s | 5.38·104 | 1.3·102 | 5.24·104 | 1.4·102 |
Although the exact side-chain conformation of the short-lived conformer (not shown in Figure 1) cannot be determined on the basis of the three observed wavenumbers, the backbone conformation can be identified with a high probability. As it was mentioned above, it can be assumed that the carboxylic group has a cis (E) conformation, and it does not form a H-bond. For the conformer that has this backbone conformation (i.e., the so-called “glycine VIp”),82 and the same side-chain conformation as conformer 1, SQM computations predict strong bands at 3612 cm–1, 1784 cm–1 and 1282 cm–1, whereas two bands at 3602 cm–1 and 3548 cm–1, along with very strong transitions at 1794 cm–1 and 1277 cm–1 were computed at the GVPT2 level. These computed wavenumbers match very well the three observed bands of the short-lived conformer.
3.8. Conversion paths
As it was discussed above (and shown in Figure 2), the irradiation at 6941 cm–1 resulted in the most complicated difference spectrum. The analysis of this spectrum showed that this irradiation depleted two conformers (1 and 5) and enriched other four conformers (2, 3, 4, and 6) in the matrix. In the asynchronous spectrum of the generalized 2D correlation spectrum, strong off-diagonal peaks were found between the bands of conformers 1, 2 and 6, while the bands of conformers 3, 4 and 5 do not show up at all or show only very low intensity off-diagonal peaks with any other conformers. This suggests a sequential conversion scheme of 1→6→2. The 1→6 step is induced by the NIR laser radiation, while the 6→2 step, which is much less effective, is promoted either by the broad-band NIR irradiation of the source of the spectrometer or by the heating effect of the laser.
The conversions promoted directly by the different NIR laser irradiations are summarized in Figure 8. As can be seen, the 6–7 lowest energy conformers are linked to other conformers, at least in one direction. No effective conversions were identified from conformer 3 to any other conformer, because both OH groups of this conformer are H-bonded and have only broad OH-stretching overtone bands. It is also interesting to note that not only the excitation to the first overtone of the carboxylic OH-stretching mode, but also to that of the side-chain OH-stretching mode induced effectively a conformational change. However, as it can be seen from Figure 6, the conformational changes promoted by the two different excitations are notably different. Although, on the basis of the present data, we cannot exclude that due to fast energy randomization the excitation in some extent can induce a conformation change farther from the excited group, it is more likely that the “long-range” conformational change takes place after the NIR induced conformational change. The driving force of the second step is the reorganization of the intramolecular H-bonding network.
Figure 8.
Scheme of conformational conversions promoted directly by different NIR laser irradiations in an Ar matrix. Irradiations in the region of the first overtone of the carboxylic OH-stretching: 6941 cm–1 (red), 6950 cm–1 (green), 6960 cm–1 (black); and in the region of the first overtone of the side-chain OH-stretching 7082 cm–1 (orange), and 7150 cm–1 (blue).
4. Conclusions
In the present work the conformational landscape of serine was investigated by matrix-isolation IR spectroscopy. To go beyond the former matrix-isolation IR studies, NIR laser irradiation was used to change the conformer ratios. Besides this, the conformational assignment was also facilitated by 2D correlation analysis and comparison with IR spectra computed by high-level methods that include electron correlation and dispersion forces together with mechanical and electrical anharmonicity.
Although the 2D correlation spectra are not sufficient to carry out the complete conformational analysis, because some conformers that behave similarly in the irradiations can show correlations, they can efficiently help to start the analysis in complicated cases. Regarding the two different types of 2D correlation spectra, the one that we referred here as “simple” 2D correlation spectrum was found to more be useful for the conformation analysis. This is because in the synchronous part of the “generalized” 2D correlation spectrum the bands that belong to two different conformers can show strong correlations, if both conformers absorbs at the wavelength of the given irradiation. In contrast to this, in the “simple” 2D correlation spectra, that constructed from difference spectra obtained by irradiations of different laser wavelengths, the amplitude of these “false” correlation peaks can be reduced, if there is an irradiation in which the two conformers behaves differently. The asynchronous part of the “generalized” 2D correlation was also found to be useful. In the present case, the sequential conformational conversion of 1→6→2 upon the 6941 cm–1 irradiation could be identified by its help. It is also important to note, that even in a case, when all the bands of two conformers are partially overlapped, applying irradiation with slightly different wavelengths can results in difference spectra in which the bands of two conformers have different relative intensities. The careful line by line comparison of these difference spectra can be the basis of an unambiguous conformational assignment.
As a result of the analysis six conformers were identified on the basis of at least nine unambiguously assigned vibrational bands. The presence of at least one more conformer, conformer 7 and/or 10 in Ar matrix was also proved. These conformers are stable at 12 K, and all of them are present in the deposited matrix. Conformer 11 remained unobserved despite its low Gibbs energy at 441 K, which is comparable to those of the observed conformers. This can be explained with the low conformational barrier height between conformers 7 and 11, which is only 0.8 kJ mol–1 at the B2PLYP-D3/maug-cc-pVTZ level of theory (without zero-point vibrational energy correction). This barrier height is low enough to allow conversion even at the temperature of the matrix. Similarly to this, the low barrier height can be responsible for the lack of conformers 8 and 9. (The barrier heights between conformers 8 and 9, and between 9 and 6 are computed at the B2PLYP-D3/maug-cc-pVTZ level to be 3.1 and 3.4 kJ mol–1, respectively.) It should be noted that in addition to the identified conformers some higher energy forms might also be present in a low concentrations in the matrix. It is also likely that some of the identified conformers are captured in different sites of the matrix. However, because of the complicated nature of the spectra, we did not attempt to assign all the weak bands that might belong to these species.
Compared to the previous matrix-isolation experiment of Maes et al., several bands of conformers 1–6 were reassigned. In the jet-cooled MW spectroscopic study conformers 1, 2, 3, 4, 6, 7 and 10 were observed. In addition to these conformers we could also identify conformer 5. The computed barrier height between conformers 5 and 1 is 5.6 kJ mol–1 at the B2PLYP-D3/maug-cc-pVTZ level. This barrier can be high enough to conserve conformer 5 in the matrix upon fast freezing, but at the same time it is low enough for an effective conformation cooling in a jet expansion. Besides the formerly observed stable conformers, a short-lived conformer that most likely decays by H-atom tunneling with a half-live of (3.7±0.5)·103 s in a N2 matrix, was generated for the first time by NIR irradiation, and its structure was identified with a high probability.
The main paths of the NIR laser induced conversions were also analyzed. It was found that the excitation of the stretching overtone of both the side-chain and the carboxylic OH groups can effectively promote conformational changes, but the two kinds of excitations induced different type of conversions. Although it cannot be excluded that due to fast energy randomization the excitation can induce in some extent a conformational change farther from the excited group, it is more probable that the conformational changes far from the excited group are promoted by the reorganization of the intra-molecular H-bonding network. In order to prove this hypothesis further model molecules should to be studied by the presently used approach and also by time-resolved methods in the future. At the same time, combination of sophisticated experimental techniques with state-of-the-art quantum mechanical computations including the leading anharmonic effects for both small and large amplitude motions paves the route for comprehensive yet accurate characterization of flexible systems with multiple low-energy minima in terms both of thermodynamic quantities and of spectroscopic signatures.
Supplementary Material
Figure 3.
C=O-stretching region of the differential MI-IR spectra of the most effective irradiations as observed in an Ar matrix.
Acknowledgements
The work was supported by the Hungarian Scientific Research Fund (OTKA K108649). R.A. and R.F. gratefully acknowledge the Portuguese Science Foundation (Fundação para a Ciência e a Tecnologia; FCT), through the project PEst-OE/QUI/UI0313/2014 (Coimbra Chemistry Centre). The research leading to these results has also received funding from the European Union's Seventh Framework Programme (FP7/2007-2013) under grant agreement No ERC-2012-AdG-320951-DREAMS. The high performance computer facilities of the DREAMS center (http://dreams.sns.it) are acknowledged for providing computer resources. M.B. and R.F. acknowledge the COST CMTS-Action CM1405 (MOLIM: MOLecules In Motion).
Footnotes
Associated Content
MI-IR spectra recorded after deposition, MI-NIR spectra marked with the wavenumbers of the irradiation experiments, higher-wavenumber region of the differential MI-IR spectra, the two bands of the short-lived conformer measured as the function of time, computed electronic energies, geometries, SQM and anharmonic vibrational transitions and IR intensities of the 14 low-energy conformers. This material is available free of charge via the Internet at http://pubs.acs.org.
Notes
The authors declare no competing financial interest.
References
- 1.Grenie Y, Lassegues JC, Garrigou-Lagrange C. Infrared Spectrum of Matrix-Isolated Glycine. J Chem Phys. 1970;53:2980–2982. [Google Scholar]
- 2.Reva I, Plokhotnichenko A, Stepanian S, Ivanov A, Radchenko E, Sheina G, Blagoi Y. The Rotamerization of Conformers of Glycine Isolated in Inert-Gas Matrices – An Infrared Spectroscopic Study. Chem Phys Lett. 1995;232:141–148. Erratum 1995, 235, 617–617. [Google Scholar]
- 3.Stepanian SG, Reva ID, Radchenko ED, Rosado MTS, Duarte MLTS, Fausto R, Adamowicz L. Matrix-Isolation Infrared and Theoretical Studies of the Glycine Conformers. J Phys Chem A. 1998;102:1041–1054. [Google Scholar]
- 4.Yu Ivanov A, Sheina G, Blagoi Yu P. FTIR Spectroscopic Study of the UV-Induced Rotamerization of Glycine in the Low Temperature Matrices (Kr, Ar, Ne) Spectrochim Acta, Part A. 1999;55:219–228. [Google Scholar]
- 5.Espinoza C, Szczepanski J, Vala M, Polfer N. Glycine and Its Hydrated Complexes: A Matrix Isolation Infrared Study. J Phys Chem A. 2010;114:5919–5927. doi: 10.1021/jp1014115. [DOI] [PubMed] [Google Scholar]
- 6.Bazsó G, Magyarfalvi G, Tarczay G. Near-Infrared Laser Induced Conformational Change and UV Laser Photolysis of Glycine in Low-Temperature Matrices: Observation of a Short-Lived Conformer. J Mol Struct. 2012;1025:33–42. [Google Scholar]
- 7.Bazsó G, Magyarfalvi G, Tarczay G. Tunneling Lifetime of the ttc/VIp Conformer of Glycine in Low-Temperature Matrices. J Phys Chem A. 2012;116:10539–10547. doi: 10.1021/jp3076436. [DOI] [PubMed] [Google Scholar]
- 8.Rosado MTS, Duarte MLRS, Fausto R. Vibrational Spectra (FT-IR, Raman and MI-IR) of α- and β-Alanine. J Mol Struct. 1997;410–411:343–348. [Google Scholar]
- 9.Lambie B, Ramaekers R, Maes G. On the Contribution of Intramolecular H-Bonding Entropy to the Conformational Stability of Alanine Conformations. Spectrochim Acta, Part A. 2003;59:1387–1397. doi: 10.1016/s1386-1425(02)00353-0. [DOI] [PubMed] [Google Scholar]
- 10.Stepanian S, Reva I, Radchenko E, Adamowicz L. Conformational Behavior of α-Alanine. Matrix-Isolation Infrared and Theoretical DFT and Ab Initio Study. J Phys Chem A. 1998;102:4623–4629. [Google Scholar]
- 11.Bazsó G, Najbauer EE, Magyarfalvi G, Tarczay G. Near-Infrared Laser Induced Conformational Change of Alanine in Low-Temperature Matrixes and the Tunneling Lifetime of its Conformer VI. J Phys Chem A. 2013;117:1952–1962. doi: 10.1021/jp400196b. [DOI] [PubMed] [Google Scholar]
- 12.Nunes C, Lapinski L, Fausto R, Reva I. Near-IR Laser Generation of a High-Energy Conformer of L-Alanine and the Mechanism of its Decay in a Low-Temperature Nitrogen Matrix. J Chem Phys. 2013;138:125101-1–12. doi: 10.1063/1.4795823. [DOI] [PubMed] [Google Scholar]
- 13.Dobrowolski J, Jamroz M, Kolos R, Rode J, Sadlej J. Theoretical Prediction and the First IR Matrix Observation of Several L-Cysteine Molecule Conformers. ChemPhysChem. 2007;8:1085–1094. doi: 10.1002/cphc.200600784. [DOI] [PubMed] [Google Scholar]
- 14.Najbauer EE, Bazsó G, Góbi S, Magyarfalvi G, Tarczay G. Exploring the Conformational Space of Cysteine by Matrix Isolation Spectroscopy Combined with Near-Infrared Laser Induced Conformational Change. J Phys Chem B. 2014;118:2093–2103. doi: 10.1021/jp412550q. [DOI] [PubMed] [Google Scholar]
- 15.Sheina G, Radchenko E, Ivanov A, Stepanian S, Blagoi Y. Oscillating Spectra of Leucine. Z Fiz Khim. 1988;62:985–990. [Google Scholar]
- 16.Boeckx B, Nelissen W, Maes G. Potential Energy Surface and Matrix Isolation FT-IR Study of Isoleucine. J Phys Chem A. 2012;116:3247–3258. doi: 10.1021/jp212240p. [DOI] [PubMed] [Google Scholar]
- 17.Kaczor A, Reva I, Proniewicz L, Fausto R. Importance of Entropy in the Conformational Equilibrium of Phenylalanine: A Matrix-Isolation Infrared Spectroscopy and Density Functional Theory Study. J Phys Chem A. 2006;110:2360–2370. doi: 10.1021/jp0550715. [DOI] [PubMed] [Google Scholar]
- 18.Reva I, Stepanian S, Plokhotnichenko A, Radchenko E, Sheina G, Blagoi Y. Infrared Matrix-Iisolation Studies of Amino-Acids – Molecular-Structure of Proline. J Mol Struct. 1994;318:1–13. [Google Scholar]
- 19.Stepanian S, Reva I, Radchenko E, Adamowicz L. Conformers of Nonionized Proline. Matrix-Isolation Infrared and Post-Hartree-Fock Ab Initio Study. J Phys Chem A. 2001;105:10664–10672. [Google Scholar]
- 20.Ramaekers R, Pajak J, Rospenk M, Maes G. Matrix-Isolation FT-IR Spectroscopic Study and Theoretical DFT(B3LYP)/6-31++G** Calculations of the Vibrational and Conformational Properties of Tyrosine. Spectrochim Acta A. 2005;61:1347–1356. doi: 10.1016/j.saa.2004.10.003. [DOI] [PubMed] [Google Scholar]
- 21.Kaczor A, Reva I, Proniewicz L, Fausto R. Matrix-Isolated Monomeric Tryptophan: Electrostatic Interactions as Nontrivial Factors Stabilizing Conformers. J Phys Chem A. 2007;111:2957–2965. doi: 10.1021/jp070097c. [DOI] [PubMed] [Google Scholar]
- 22.Boeckx B, Maes G. The Conformational Behavior and H-bond Structure of Asparagine: A Theoretical and Experimental Matrix-Isolation FT-IR study. Biophys Chem. 2012;165:62–73. doi: 10.1016/j.bpc.2012.03.006. [DOI] [PubMed] [Google Scholar]
- 23.Boeckx B, Maes G. Experimental and Theoretical Observation of Different Intramolecular H-bonds in Lysine Conformations. J Phys Chem B. 2012;116:12441–12449. doi: 10.1021/jp306916e. [DOI] [PubMed] [Google Scholar]
- 24.Lambie B, Ramaekers R, Maes G. Conformational Behavior of Serine: An Experimental Matrix-Isolation FT-IR and Theoretical DFT(B3LYP)/6-31++G** Study. J Phys Chem A. 2004;108:10426–10433. [Google Scholar]
- 25.Jarmelo S, Lapinski L, Nowak M, Carey P, Fausto R. Preferred Conformers and Photochemical (λ > 200 nm) reactivity of serine and 3,3-dideutero-serine in the neutral form. J Phys Chem A. 2005;109:5689–5707. doi: 10.1021/jp0511202. [DOI] [PubMed] [Google Scholar]
- 26.Jarmelo S, Fausto R. Entropy Effects in Conformational Distribution and Conformationally Dependent UV-Induced Photolysis of Serine Monomer Isolated in Solid Argon. J Mol Struct. 2006;786:175–181. [Google Scholar]
- 27.Dobrowolski J, Jamroz M, Kolos R, Rode J, Sadlej J. IR Low-Temperature Matrix and Ab Initio Study on β-Alanine Conformers. ChemPhysChem. 2008;9:2042–2051. doi: 10.1002/cphc.200800383. [DOI] [PubMed] [Google Scholar]
- 28.Wong YTA, Toh SY, Djuricanin P, Momose T. Conformational composition and population analysis of β-alanine isolated in solid parahydrogen. J Mol Spectrosc. 2015;310:23–31. [Google Scholar]
- 29.Kus N, Sharma A, Pena I, Bermudez M, Cabezas C, Alonso J, Fausto R. Conformers of β-Aminoisobutyric Acid Probed by Jet-Cooled Microwave and Matrix Isolation Infrared Spectroscopic Techniques. J Chem Phys. 2013;138:144305-1–10. doi: 10.1063/1.4799456. [DOI] [PubMed] [Google Scholar]
- 30.Barnes A. Matrix-Isolation Vibrational Spectroscopy as a Tool for Studying Conformational Isomerism. J Mol Struct. 1984;113:161–174. [Google Scholar]
- 31.Reva I, Jesus A, Rosado M, Fausto R, Eusebio M, Redinha J. Stepwise Conformational Cooling Towards a Single Isomeric State in the Four Internal Rotors System 1,2-Butanediol. Phys Chem Chem Phys. 2006;8:5339–5349. doi: 10.1039/b610962d. [DOI] [PubMed] [Google Scholar]
- 32.Tsuge M, Khriachtchev L. Tunneling Isomerization of Small Carboxylic Acids and Their Complexes in Solid Matrixes: A Computational Insight. J Phys Chem A. 2015;119:2628–2635. doi: 10.1021/jp509692b. [DOI] [PubMed] [Google Scholar]
- 33.Barone V, Biczysko M, Bloino J. Fully anharmonic IR and Raman Spectra of Medium-Size Molecular Systems: Accuracy and Interpretation. Phys Chem Chem Phys. 2014;16:1759–1787. doi: 10.1039/c3cp53413h. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Barone V, Biczysko M, Bloino J, Puzzarini C. Characterization of the Elusive Conformers of Glycine from State-of-the-Art Structural, Thermodynamic, and Spectroscopic Computations: Theory Complements Experiment. J Chem Theo Comp. 2013;9:1533–1547. doi: 10.1021/ct3010672. [DOI] [PubMed] [Google Scholar]
- 35.Barone V, Biczysko M, Bloino J, Puzzarini C. Glycine Conformers: A Never-Ending story? Phys Chem Chem Phys. 2013;15:1358–1363. doi: 10.1039/c2cp43884d. [DOI] [PubMed] [Google Scholar]
- 36.Klaebö P, Nielsen C. Recent Aadvances in Infrared Matrix-Isolation Spectroscopy – Invited Lecture. Analyst. 1992;117:335–341. [Google Scholar]
- 37.Vanalsenoy C, Scarsdale J, Sellers H, Schafer L. Ab Initio Studies of Structural Features not Easily Amenable to Experiment – The Molecular-Structures of 2 Low-Energy Forms of Unionized Serine. Chem Phys Lett. 1981;80:124–126. [Google Scholar]
- 38.Vanalsenoy C, Kulp S, Siam K, Klimkowski V, Ewbank J, Schafer L. Ab Initio Studies of Structural Features not Easily Amenable to Experiment.63. Conformational-Analysis and Structural Study of Serine. J Mol Struct THEOCHEM. 1988;50:169–178. [Google Scholar]
- 39.Tarekeshwar P, Manogaran S. Conformational Effects on Vibrational Frequencies of Cysteine and Serine – An Ab-Initio Study. J Mol Struct THEOCHEM. 1994;111:205–224. [Google Scholar]
- 40.Gronert S, O’Hair R. Ab-Initio Studies of Amino-Acid Conformations .1. The Conformers of Alanine, Serine, and Cysteine. J Am Chem Soc. 1995;117:2071–2081. [Google Scholar]
- 41.Blanco S, Sanz ME, López JC, Alonso JL. Revealing the Multiple Structures of Serine. Proc Natl Acad Sci USA. 2007;104:20183–20188. doi: 10.1073/pnas.0705676104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Becke A. Density-Functional Thermochemistry. 3. The Role of Exact Exchange. J Chem Phys. 1993;98:5648–5652. [Google Scholar]
- 43.Lee C, Yang W, Parr R. Development of the Colle-Salvetti Correlation-Energy Formula into a Functional of the Electron-Density. Phys Rev B. 1988;37:785–789. doi: 10.1103/physrevb.37.785. [DOI] [PubMed] [Google Scholar]
- 44.Francl M, Pietro W, Hehre W, Binkley J, Gordon M, Defrees D, Pople J. Self-Consistent Molecular-Orbital Methods. 23. A Polarization-Type Basis Set for 2nd-Row Elements. J Chem Phys. 1982;77:3654–3665. [Google Scholar]
- 45.Hehre WJ, Ditchfield R, Pople JA. Self-Consistent Molecular Orbital Methods. XII. Further Extensions of Gaussian-Type Basis Sets for Use in Molecular Orbital Studies of Organic Molecules. J Chem Phys. 1972;56:2257–2261. [Google Scholar]
- 46.Krishnam R, Binkley JS, Seeger R, Pople JA. Self-Consistent Molecular Orbital Methods. XX. A Basis Set for Correlated Wave Functions. J Chem Phys. 1980;72:650–654. [Google Scholar]
- 47.Gill P, Johnson B, Pople J, Frisch M. The Performance of the Becke-Lee-Yang-Parr (B-LYP) Density Functional Theory with Various Basis-Sets. Chem Phys Lett. 1992;197:499–505. [Google Scholar]
- 48.Grimme S, Antony J, Ehrlich S, Krieg H. A Consistent and Accurate Ab Initio Parametrization of Density Functional Dispersion Correction (DFT-D) for the 94 Elements H-Pu. J Chem Phys. 2010;132:154104-1–19. doi: 10.1063/1.3382344. [DOI] [PubMed] [Google Scholar]
- 49.Grimme S. Semiempirical Hybrid Density Functional with Perturbative Second-Order Correlation. J Chem Phys. 2006;124:034108-1–15. doi: 10.1063/1.2148954. [DOI] [PubMed] [Google Scholar]
- 50.Biczysko M, Panek P, Scalmani G, Bloino J, Barone V. Harmonic and Anharmonic Vibrational Frequency Calculations with the Double-Hybrid B2PLYP Method: Analytic Second Derivatives and Benchmark Studies. J Chem Theo Comp. 2010;6:2115–2125. doi: 10.1021/ct100212p. [DOI] [PubMed] [Google Scholar]
- 51.Papajak E, Truhlar D. Efficient Diffuse Basis Sets for Density Functional Theory. J Chem Theo Comp. 2010;6:597–601. doi: 10.1021/ct900566x. [DOI] [PubMed] [Google Scholar]
- 52.Baker J, Jarzecki A, Pulay P. Direct Scaling of Primitive Valence Force Constants: An Alternative Approach to Scaled Quantum Mechanical Force Fields. J Phys Chem A. 1998;102:1412–1424. [Google Scholar]
- 53.Pulay P, Fogarasi G, Pongor G, Boggs JE, Vargha A. Combination of theoretical ab initio and experimental information to obtain reliable harmonic force constants. Scaled quantum mechanical (QM) force fields for glyoxal, acrolein, butadiene, formaldehyde, and ethylene. J Am Chem Soc. 1983;105:7037–7047. [Google Scholar]
- 54.Fábri C, Szidarovszky T, Magyarfalvi G, Tarczay G. Gas-Phase and Ar-Matrix SQM Scaling Factors for Various DFT Functionals with Basis Sets Including Polarization and Diffuse Functions. J Phys Chem A. 2011;115:4640–4649. doi: 10.1021/jp201907y. [DOI] [PubMed] [Google Scholar]
- 55.Nielsen HH. The Vibration-Rotation Energies of Molecules. Rev Mod Phys. 1951;23:90–136. [Google Scholar]
- 56.Mills IM. Vibration-Rotation Structure in Asymmetric- and Symmetric-Top Molecules. In: Rao KNaM, Weldon C., editors. Molecular Spectroscopy: Modern Research. Academic Press; New York: 1972. pp. 115–140. [Google Scholar]
- 57.Barone V. Anharmonic Vibrational Properties by a Fully Automated Second-Order Perturbative Approach. J Chem Phys. 2005;122:014108-1–10. doi: 10.1063/1.1824881. [DOI] [PubMed] [Google Scholar]
- 58.Bloino J, Biczysko M, Barone V. General Perturbative Approach for Spectroscopy, Thermodynamics, and Kinetics: Methodological Background and Benchmark Studies. J Chem Theo Comp. 2012;8:1015–1036. doi: 10.1021/ct200814m. [DOI] [PubMed] [Google Scholar]
- 59.Bloino J, Barone V. A Second-Order Perturbation Theory Route to Vibrational Averages and Transition Properties of Molecules: General Formulation and Application to Infrared and Vibrational Circular Dichroism Spectroscopies. J Chem Phys. 2012;136:124108-1–15. doi: 10.1063/1.3695210. [DOI] [PubMed] [Google Scholar]
- 60.Bloino J. A VPT2 Route to Near-Infrared Spectroscopy: The Role of Mechanical and Electrical Anharmonicity. J Phys Chem A. 2015;119(21):5269–5287. doi: 10.1021/jp509985u. [DOI] [PubMed] [Google Scholar]
- 61.Piccardo M, Bloino J, Vincenzo B. Generalized Vibrational Perturbation Theory for Rotovibrational Energies of Linear, Symmetric and Asymmetric Tops: Theory, Approximations and Automated Approaches to Deal with Medium-to-Large Molecular Systems. Int J Quant Chem. 2015;115:948–982. doi: 10.1002/qua.24931. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Amos R, Handy N, Green W, Jayatilaka D, Willetts A, Palmieri P. Aanharmonic Vibrational Properties of CH2F2 – A Comparison of Theory and Experiment. J Chem Phys. 1991;95:8323–8336. [Google Scholar]
- 63.Martin J, Lee T, Taylor P, Francois J. The Anharmonic-Force Field of Ethylene, C2H4, by Means of Accurate Ab-Initio Calculations. J Chem Phys. 1995;103:2589–2602. [Google Scholar]
- 64.Schuurman M, Allen W, Schleyer P, Schaefer H. The Highly Anharmonic BH5 Potential Energy Surface Characterized in the Ab Initio Limit. J Chem Phys. 2005;122:104302-1–12. doi: 10.1063/1.1853377. [DOI] [PubMed] [Google Scholar]
- 65.Ayala P, Schlegel H. Identification and Treatment of Internal Rotation in Normal Mode Vibrational Analysis. J Chem Phys. 1998;108:2314–2325. [Google Scholar]
- 66.Truhlar D, Isaacson A. Simple Perturbation-Theory Estimates of Equilibrium-Constants from Force-Fields. J Chem Phys. 1991;94:357–359. [Google Scholar]
- 67.Peng CY, Ayala PY, Schlegel HB, Frisch MJ. Using Redundant Internal Coordinates to Optimize Equilibrium Geometries and Transition States. J Comp Chem. 1996;17:49–56. [Google Scholar]
- 68.Peng CY, Schlegel HB. Combining Synchronous Transit and Quasi-Newton Methods for Finding Transition States. Israel J Chem. 1993;33:449–454. [Google Scholar]
- 69.PQS version 3.3, Parallel Quantum Solutions. Green Acres Road, Fayetteville, Arkansas: 2013. 72703. [Google Scholar]
- 70.Frisch MJ, Trucks GW, Schlegel HB, Scuseria GE, Robb MA, Cheeseman JR, Scalmani G, Barone V, Mennucci B, Petersson GA, et al. Gaussian Development Version: revision I.03. Gaussian, Inc.; Wallingford, CT: 2014. [Google Scholar]
- 71.Noda I. Generalized Two-Dimensional Correlation Method Applicable to Infrared, Raman, and Other Types of Spectroscopy. Appl Spectrosc. 1993;47:1329–1336. [Google Scholar]
- 72.Noda I. Advances in Two-Dimensional Correlation Spectroscopy. Vibr Spectrosc. 2004;36:143–165. [Google Scholar]
- 73.Noda I. Progress in two-dimensional (2D) correlation spectroscopy. J Mol Struct. 2006;799:2–15. [Google Scholar]
- 74.Noda I. Recent advancement in the field of two-dimensional correlation spectroscopy. J Mol Struct. 2008;883–884:2–26. [Google Scholar]
- 75.Noda I. Two-Dimensional Correlation Spectroscopy-Biannual Survey 2007–2009. J Mol Struct. 2010;974:3–24. [Google Scholar]
- 76.Noda I. Close-up View ont he Inner Workings of Two-Dimensional Correlation Spectroscopy. Vibr Spectrosc. 2012;60:146–153. [Google Scholar]
- 77.Noda I. Frontiers of Two-Dimensional Correlation Spectroscopy. Part 1. New Concepts and Noteworthy Developments. J Mol Struct. 2014;1069:3–22. [Google Scholar]
- 78.Noda I, Yukihiro O. Two-dimensional Correlation Spectroscopy – Applications in Vibrational and Optical Spectroscopy. John Wiley & Sons Ltd; Chichester, West Sussex, Englan: 2004. [Google Scholar]
- 79.Marushkevich K, Räsänen M, Khriachtchev L. Interaction of Formic Acid with Nitrogen: Stabilization of the Higher-Energy Conformer. J Phys Chem A. 2010;114:10584–10589. doi: 10.1021/jp105044r. [DOI] [PubMed] [Google Scholar]
- 80.Lopes S, Domanskaya A, Fausto R, Räsänen M, Khriachtchev L. Formic and acetic acids in a nitrogen matrix: Enhanced stability of the higher-energy conformer. J Chem Phys. 2010;133:144507-1–7. doi: 10.1063/1.3484943. [DOI] [PubMed] [Google Scholar]
- 81.Reva I, Nunes C, Biczysko M, Fausto R. Conformational Switching in Pyruvic Acid Isolated in Ar and N2 Matrixes: Spectroscopic Analysis, Anharmonic Simulation, and Tunneling. J Phys Chem A. 2015;119:2614–2627. doi: 10.1021/jp509578c. [DOI] [PubMed] [Google Scholar]
- 82.Császár A. Conformers of Gaseous Glycine. J Am Chem Soc. 1992;114:9568–9575. [Google Scholar]
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