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Journal of Spectroscopy
Volume 2016, Article ID 4058478, 7 pages
http://dx.doi.org/10.1155/2016/4058478
Research Article

A Study of the Far Infrared Spectrum of N-Acetyl-D-Glucosamine Using THz-TDS, FTIR, and Semiempirical Quantum Chemistry Methods

1Departamento de Teoría de la Señal y Comunicaciones e IT, Universidad de Valladolid, ETSI Telecomunicación, Paseo Belén 15, 47011 Valladolid, Spain
2Laboratorio de Materiales Avanzados, ETSIIAA, Universidad de Valladolid, Avenida de Madrid 44, 34004 Palencia, Spain
3Departamento de Teoría de la Señal y Comunicaciones, Universidad de Vigo, ETSI Telecomunicación, Lagoas Marcosende s/n, 36310 Vigo, Spain
4EPSH, Universidad de Zaragoza, Carretera de Cuarte s/n, 22071 Huesca, Spain

Received 15 February 2016; Revised 30 May 2016; Accepted 12 June 2016

Academic Editor: Stephen Cooke

Copyright © 2016 Pedro Chamorro-Posada et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The far infrared spectrum of N-acetyl-D-glucosamine has been studied by combining THz–TDS and FTIR characterization techniques with theoretical studies based on semiempirical quantum chemistry methods. A strong spectral peak at 60 cm−1 has been identified, which constitutes the main signature of the material in the terahertz band. Calculated molecular vibrations are in good qualitative and semiquantitative agreement with both the THz-TDS and FTIR experiments. In comparison to previous DFT-based studies, the semiempirical approach chosen herein, suitable for parallel multi-core and GPU acceleration, allows for a full study using periodic boundary conditions and no further approximations within a constrained computing time.

1. Introduction

N-Acetyl-D-glucosamine (or D-GlcNAc or NAG) is a derivatized glucose monomer found in polymers of bacterial cell walls, chitin, hyaluronic acids, and various glycans. As the monomeric unit of chitin polymer, it forms the outer coverings of insects and marine crustaceans and it is the major component of the cell walls of most fungi. Chitosan (deacetyl chitin) is a form of N-acetyl glucosamine that has been chemically altered.

N-Acetyl-D-glucosamine derivatives, chitin and chitosan, have become of great interest not only as underutilized resources, but also as new functional materials of high potential in various fields [13]: in biomedical applications (antimicrobial agents, drug and gene delivery, wound dressings, and tissue engineering), in waste water treatment (purification and toxic ion removal), in agriculture (seed coatings and controlled agrochemical release), in food industry (packaging and preservative materials), and in cosmetics, to name a few.

The structure of N-acetyl-D-glucosamine [4] is shown in Figure 1. Crystals are monoclinic, with space group P21 and unit cell parameters = 11.25 Å, = 4.82 Å, = 9.72 Å, and = 113.7°. Mercury software package [5] has been used for the representation.

Figure 1: Crystal cell of N-acetyl-D-glucosamine.

The far infrared (FIR) spectra of polycrystalline mono- and polysaccharides are dominated by lattice modes involving molecular hydrogen bonds or/and van der Waals forces. Therefore, FIR spectroscopy techniques in general and, particularly, terahertz time domain spectroscopy (THz-TDS) are notably useful in the structural characterization of carbohydrates [68].

Computational quantum chemistry is a highly valuable tool for the interpretation of FIR spectra due to the complexity of the associated vibration modes. Ab initio and density functional theory (DFT) methods are very accurate in the prediction of molecular vibrations [9]. Nevertheless, solid-state calculations over large supramolecular systems are typically required due to the relevance of long-range interactions, thus limiting the use of these computationally costly methods. On the other hand, semiempirical methods [10, 11], especially with the recently developed parallel implementations for shared-memory multiprocessor and massively parallel graphics processing units architectures [12], permit studying of the vibrations in large molecular crystals at reduced computation times. Semiempirical quantum chemistry methods have been previously used in the interpretation of the terahertz spectra of various carbon nitride [13] and carbon [14] materials.

A study of the IR spectrum of NAG was previously presented in [15]. The experimental characterization was performed using a FTIR spectrometer and the theoretical modeling using a DFT method. Due to the high computer cost of such calculations, a single molecule was studied and the intermolecular hydrogen bond interactions were simulated with intramolecular interactions. In this work, we focus on the far infrared spectrum of NAG. We combine THz–TDS and FTIR techniques for the characterization of the spectral regions between 10 cm−1 and 80 cm−1 and 80 cm−1 and 420 cm−1, respectively. THz-TDS measurements have permitted identifying one strong spectral peak at 60 cm−1, which is the main signature of the material in the terahertz band. Theoretical studies have been performed using semiempirical quantum chemistry methods. The use of parallel multicore and GPU acceleration allows for a full study using periodic boundary conditions and no further approximations within a constrained computing time.

2. Materials and Experimental and Theoretical Methods

2.1. Materials

N-Acetyl-D-glucosamine (CAS number 7512-17-6, ≥99%) was purchased from Sigma-Aldrich Chemie GmbH (Schnelldorf, Germany). The sample material was mixed with ultrahigh molecular weight surface-modified, 53–75 μm particle size polyethylene (PE, CAS number 9002-88-4), also from Sigma-Aldrich, at 18 wt%. The mixture was pressed at 5 tm for 3 minutes to make a 13 mm diameter pellet.

2.2. Spectroscopic Characterization

A Menlo (Martinsried, Germany) Tera K15 spectrometer was used for the THz-TDS analysis. The system is based on a 1560 nm fiber laser that generates 90 fs pulses at a repetition rate of 100 MHz. This provides a compact fiber-coupled setup. The system was operated in a nitrogen-rich atmosphere in order to avoid the signature of water absorption in the recorded samples. Ten samples and ten reference measurements were performed in each case in order to reduce the noise in the measurements.

The material parameters in the spectral range of interest were calculated from the time domain photocurrent traces measured with the spectrometer. These time domain waveforms depend not only on the material data but also on the width of the pellets, due to the contributions from multiple reflections at the pellet-air interfaces. Signal processing techniques similar to those described by Duvillaret et al. [16], with a flat-top window [17], were employed in order to obtain the THz spectra of the materials.

The vibrational spectrum of the material in the 80–420 cm−1 spectral range was measured using a Thermo Scientific (Waltham, MA, USA) Nicolet iS50 FTIR Spectrometer. At shorter wavelengths the measurement was saturated because of the attenuation associated to the PE matrix.

2.3. Quantum Chemistry Computations

The semiempirical quantum chemistry computations were performed with the PM6 method [18] using the parallel implementation for multithreaded shared-memory CPUs and massively parallel GPU acceleration [12] of the MOPAC2012 [19] software package. A Fedora Linux server with a 12-core Intel Xeon processor and a NVIDIA Tesla K20 GPU were used for the computations.

3. Results and Discussion

3.1. FIR Spectrum of N-Acetyl-D-Glucosamine

The results of the THz-TDS measurements are shown in Figure 2. The solid line corresponds to the spectrum of the NAG sample dispersed in PE powder in the spectral range from 20 to 80 cm−1, characterized by a dominant peak at 60 cm−1. Two very weak peaks can also be observed at 45 cm−1 and 72 cm−1. The dashed line corresponds to a reference PE sample that displays a negligible attenuation in this band, even though an extremely faint absorption band near 80 cm−1 [20] can still be observed.

Figure 2: THz-TDS measurement results. The solid line corresponds to N-acetyl-D-glucosamine dispersed in polyethylene powder at 18 wt% and the dashed line to a reference pellet of pure polyethylene.

The FTIR measurement results in the spectral range from 80 cm−1 to 420 cm−1 are shown in Figure 3. The solid line corresponds to the sample material dispersed in PE powder and the dashed line to a pure polyethylene reference pellet of similar thickness. The polyethylene attenuation displays the expected scattering response, associated with the finite particle size, and the PE band at 110 cm−1 [20]. A second faint PE absorption band was also found close to 230 cm−1. Whereas the PE matrix shows a negligible effect in the measurements below 80 cm−1, this is not the case at higher frequencies. Even though the absorption bands of the PE do not interfere at all with the spectral fingerprint of NAG, with much more defined and stronger resonances, the scattering due to the finite size of PE grains has the effect of upshifting the baseline of the measured spectrum. Moreover, the combined effect of scattering due to the finite-sized PE grains and the highly dispersive refractive index of NAG close to the resonances, known as Christiansen effect [21], can distort the shapes of the resonances and produce small shifts in the measured peaks.

Figure 3: FTIR spectrum in the spectral range from 80 cm−1 to 420 cm−1. The solid line corresponds to N-acetyl-D-glucosamine dispersed in polyethylene powder at 18 wt% and the dashed line to a reference pellet of pure polyethylene of similar thickness.

The spectrum of the sample in the whole range is shown in Figure 4, where the attenuation coefficient measured with the THz-TDS spectrometer after removal of the etalon effects (as shown in Figure 2) has been converted to an effective absorbance aswhere is the attenuation coefficient in cm−1 and is the thickness of the pellet in cm.

Figure 4: Measured FTIR absorbance (dashed blue line) and effective absorbance data after removal of the etalon effects from THz-TDS measurement (red solid line).
3.2. Semiempirical Quantum Chemistry Results

The solid-state geometry of NAG was optimized using the PM6 Hamiltonian [18] taking the actual crystal geometry [4] as the initial condition. Accurate calculations using MOPAC with periodic boundary conditions require a computational domain at least capable of fitting a sphere with a diameter of 8 Å. A minimal domain spanning 1 × 2 × 1 crystal unit cells was used by setting the keyword MERS = (). The unit cell dimensions of the resulting optimized geometry = 11.400 Å, = 4.616 Å, and = 9.040 Å were in relatively good agreement with the actual values = 11.25 Å, = 4.82 Å, and = 9.72 Å. Nevertheless, the cell angles = 94.56°, = 114.09°, and = 85.51° showed a noticeable deviation from the monoclinic unit cell, even though was very close to the experimental value of 113.7°. The calculated vibrations for the crystal geometry optimized with the PM6 Hamiltonian did not include any imaginary frequency. PM7 [22] calculations provided a better fit with the actual crystal unit cell angles, but the method failed to converge to a true ground state geometry.

The PM6 geometry of one of the two molecules of the crystal unit cell is compared with the experimental structure in Figure 5. The two molecules have been plotted using VMD [23]. A relative shift has been introduced to facilitate the visual comparison due to the highly overlapping geometries. Bond lengths are compared in Table 1, and angles are compared in Table 2. We have used the atom labels shown in Figure 6.

Table 1: Comparison of the experimental bond lengths (in Å) with those of the geometry optimized with the PM6 method. The unsigned mean error (UME) is 1.30%.
Table 2: Comparison of the experimental bond angles (in degrees) with those of the geometry optimized with the PM6 method. UME = 1.54%.
Figure 5: Comparison of the PM6 optimized geometry with the experimental X-ray geometry of N-acetyl-D-glucosamine.
Figure 6: Atom labels used in the comparison of the molecular geometries.

The use of two crystal cells for the calculation of the vibrations resulted in the inclusion of modes with wave vectors sampling different points of the first Brillouin zone of the crystal. Nevertheless, only solutions are relevant for the optical spectrum [24]. The in-phase oscillating modes were selected from the global set of vibrations [24] by projecting the mass-scaled eigenvectors components of the two cells in the computation domain and selecting only those vibrations for which the scalar product was larger than 0.9.

3.3. Frequency Assignment

The frequency assignment from our experimental and theoretical analysis is shown in Table 3, where the results are compared with those of the former study by Kovács et al. [15]. Due to the complexity of many of the vibration modes, a graphical description has been included in Figure 7, where the mass-scaled eigenvectors are plotted for one of the molecules in the crystal cell.

Table 3: Frequency assignment and comparison with the theoretical and experimental results of [15]. The following abbreviations have been used in the description of the vibrations: s, strong; m, medium; w, weak; sh, shoulder; , stretching; , in-plane bending; , deformation; , wagging; , twisting.
Figure 7: Mass-scaled normal modes of the frequencies in the far infrared spectrum of N-acetyl-D-glucosamine.

In our assignment, the calculated results are in good qualitative and semiquantitative agreement with the experiments. We find larger errors for modes with a strong lattice-type vibration contribution, where the whole molecules experience large displacement. This is the case, for example, in the lowest band of the spectrum. This is typical of calculations using semiempirical and other quantum chemistry methods [24]. On the other hand, very good agreement is found when the strongest contributions are due to localized intramolecular vibrations. This is the case, for instance, in the upper band between 350 cm−1 and 420 cm−1. These results can be attributed to the highly accurate molecular geometry predicted with the PM6 Hamiltonian and, on the other hand, to the slightly distorted predicted crystal unit cell. The small distortion of the spectral response due to the Christiansen effect [21] could also contribute to the small discrepancies observed with the experimental measurements.

There is also good agreement between the description of [15] and our results. One difference is the signature peak at 60 cm−1, which we have relabeled as being of medium (instead of weak) intensity. In our measurements, we have not observed the shoulder at 242 cm−1 detected in [15] and the resonance at 251 cm−1 in [15] is resolved in our measurements into two components: one peak at 248 cm−1 and a shoulder at 252 cm−1. The weak PE band at 230 cm−1 does not seem to affect these assignments. Moreover, there are two new weak peaks between 360 cm−1 and 410 cm−1 that had not been previously measured and assigned. The lowest lying weak resonance at 45 cm−1 had not been previously reported and we have not been able to assign it to any of the calculated modes.

In order to improve the theoretical description in the terahertz band, we performed a geometry optimization with the PM6 method keeping the crystal cell parameters constant. In general, optimization with this type of constraint does not guarantee that the resulting geometry is a true ground state. Nevertheless, no imaginary frequencies were found for this geometry. Besides keeping the actual crystal parameters, the quality of the molecular geometry was comparable in terms of their respective UME for bonds and angles to that of the former optimization. The results, which are shown in brackets in Table 3, permitted assigning the resonance at 45 cm−1 after some relaxation of the selection criterion for in-phase resonances and improving the accuracy in the assignment in the terahertz band, but a worsening was observed in the description for frequencies above 80 cm−1.

4. Conclusions

A combination of THz–TDS and FTIR spectroscopies with theoretical studies based on semiempirical quantum chemistry methods has been used to study the far infrared spectrum of N-acetyl-D-glucosamine (NAG). The terahertz spectrum in the spectral range from 10 cm−1 to 80 cm−1 was characterized by a dominant peak at 60 cm−1. On the other hand, the high-resolution ATR-FTIR spectrum from 80 cm−1 to 420 cm−1 permitted the identification of some additional bands in comparison to those reported in the literature. PM6 Hamiltonian semiempirical calculations, by making use of the recently developed parallel implementations for shared-memory multiprocessor and massively parallel GPU architectures, allowed studying the molecular vibrations at a reduced computation time (versus DFT or ab initio approaches), obtaining a good qualitative and semiquantitative agreement between the calculated results and the experiments. The largest errors were found for modes with a strong lattice-type vibration contribution, while very good agreement was found when the strongest contributions are due to localized intramolecular vibrations.

Competing Interests

The authors declare that they have no competing interests.

Acknowledgments

This work is partially supported by the Spanish National Research and Development Program Projects TEC2015-69665-R and TEC2011-28683-C02-02, by the Spanish Government under Project TACTICA, by the European Regional Development Fund (ERDF), and by the Galician Regional Government under Project GRC2015/018 and under agreement for funding AtlantTIC (Atlantic Research Center for Information and Communication Technologies). Iosody Silva-Castro would like to gratefully acknowledge the financial support of CONACYT, México, through the Ph.D. Scholarship with Ref. no. 329975.

References

  1. M. N. V. Ravi Kumar, “A review of chitin and chitosan applications,” Reactive and Functional Polymers, vol. 46, no. 1, pp. 1–27, 2000. View at Publisher · View at Google Scholar · View at Scopus
  2. V. Zargar, M. Asghari, and A. Dashti, “A review on chitin and chitosan polymers: structure, chemistry, solubility, derivatives, and applications,” ChemBioEng Reviews, vol. 2, no. 3, pp. 204–226, 2015. View at Publisher · View at Google Scholar
  3. V. K. Thakur and M. K. Thakur, “Recent advances in graft copolymerization and applications of chitosan: a review,” ACS Sustainable Chemistry and Engineering, vol. 2, no. 12, pp. 2637–2652, 2014. View at Publisher · View at Google Scholar · View at Scopus
  4. L. N. Johnson, “The crystal structure of N-acetyl-α-d-glycosamine,” Acta Crystallographica, vol. 21, no. 6, pp. 885–891, 1966. View at Publisher · View at Google Scholar · View at Scopus
  5. C. F. Macrae, P. R. Edgington, P. McCabe et al., “Mercury: visualization and analysis of crystal structures,” Journal of Applied Crystallography, vol. 39, no. 3, pp. 453–457, 2006. View at Publisher · View at Google Scholar · View at Scopus
  6. S. K. Husan, J. B. Hasted, D. Rosen, E. Nicol, and J. R. Birch, “FIR spectra of saccharides and polysaccharides,” Infrared Physics, vol. 24, no. 2-3, pp. 209–213, 1984. View at Publisher · View at Google Scholar · View at Scopus
  7. M. Walther, B. M. Fischer, and P. U. Jepsen, “Noncovalent intermolecular forces in polycrystalline and amorphous saccharides in the far infrared,” Chemical Physics, vol. 288, no. 2-3, pp. 261–268, 2003. View at Publisher · View at Google Scholar · View at Scopus
  8. P. C. Upadhya, Y. C. Shen, A. G. Davies, and E. H. Linfield, “Far-infrared vibrational modes of polycrystalline saccharides,” Vibrational Spectroscopy, vol. 35, no. 1-2, pp. 139–143, 2004. View at Publisher · View at Google Scholar · View at Scopus
  9. A. P. Scott and L. Radom, “Harmonic vibrational frequencies: an evaluation of Hartree-Fock, Møller-Plesset, quadratic configuration interaction, density functional theory, and semiempirical scale factors,” Journal of Physical Chemistry, vol. 100, no. 41, pp. 16502–16513, 1996. View at Publisher · View at Google Scholar · View at Scopus
  10. M. B. Coolidge, J. E. Marlin, and J. J. P. Stewart, “Calculations of molecular vibrational frequencies using semiempirical methods,” Journal of Computational Chemistry, vol. 12, no. 8, pp. 948–952, 1991. View at Publisher · View at Google Scholar
  11. Z. A. Fekete, E. A. Hoffmann, T. Körtvélyesi, and B. Penke, “Harmonic vibrational frequency scaling factors for the new NDDO Hamiltonians: RM1 and PM6,” Molecular Physics, vol. 105, no. 19–22, pp. 2597–2605, 2007. View at Publisher · View at Google Scholar · View at Scopus
  12. J. D. C. Maia, G. A. Urquiza Carvalho, C. P. Mangueira Jr., S. R. Santana, L. A. F. Cabral, and G. B. Rocha, “GPU linear algebra libraries and GPGPU programming for accelerating MOPAC semiempirical quantum chemistry calculations,” Journal of Chemical Theory and Computation, vol. 8, no. 9, pp. 3072–3081, 2012. View at Publisher · View at Google Scholar · View at Scopus
  13. P. Chamorro-Posada, J. Vázquez-Cabo, F. M. Sánchez-Arévalo et al., “2D to 3D transition of polymeric carbon nitride nanosheets,” Journal of Solid State Chemistry, vol. 219, pp. 232–241, 2014. View at Publisher · View at Google Scholar · View at Scopus
  14. P. Chamorro-Posada, J. Vázquez-Cabo, Ó. Rubiños-López et al., “THz TDS study of several sp2 carbon materials: graphite, needle coke and graphene oxides,” Carbon, vol. 98, pp. 484–490, 2016. View at Publisher · View at Google Scholar · View at Scopus
  15. A. Kovács, B. Nyerges, and V. Izvekov, “Vibrational analysis of N-acetyl-α-d-glucosamine and β-d-glucuronic acid,” The Journal of Physical Chemistry B, vol. 112, no. 18, pp. 5728–5735, 2008. View at Publisher · View at Google Scholar · View at Scopus
  16. L. Duvillaret, F. Garet, and J.-L. Coutaz, “A reliable method for extraction of material parameters in terahertz time-domain spectroscopy,” IEEE Journal on Selected Topics in Quantum Electronics, vol. 2, no. 3, pp. 739–745, 1996. View at Publisher · View at Google Scholar · View at Scopus
  17. J. Vázquez-Cabo, P. Chamorro-Posada, F. J. Fraile-Peláez, Ó. Rubiños-López, J. M. López-Santos, and P. Martín-Ramos, “Windowing of THz time-domain spectroscopy signals: a study based on lactose,” Optics Communications, vol. 366, pp. 386–396, 2016. View at Publisher · View at Google Scholar · View at Scopus
  18. J. J. P. Stewart, “Optimization of parameters for semiempirical methods V: modification of NDDO approximations and application to 70 elements,” Journal of Molecular Modeling, vol. 13, no. 12, pp. 1173–1213, 2007. View at Publisher · View at Google Scholar · View at Scopus
  19. J. J. P. Stewart, MOPAC2012, Stewart Computational Chemistry, Colorado Springs, Colo, USA, 2012.
  20. G. D. Dean and D. H. Martin, “Inter-molecular vibrations of crystalline polyethylene and long-chain paraffins,” Chemical Physics Letters, vol. 1, no. 9, pp. 415–416, 1967. View at Publisher · View at Google Scholar · View at Scopus
  21. M. Franz, B. M. Fischer, and M. Walther, “The Christiansen effect in terahertz time-domain spectra of coarse-grained powders,” Applied Physics Letters, vol. 92, no. 2, Article ID 021107, 2008. View at Publisher · View at Google Scholar · View at Scopus
  22. J. J. P. Stewart, “Optimization of parameters for semiempirical methods VI: more modifications to the NDDO approximations and re-optimization of parameters,” Journal of Molecular Modeling, vol. 19, no. 1, pp. 1–32, 2013. View at Publisher · View at Google Scholar · View at Scopus
  23. W. Humphrey, A. Dalke, and K. Schulten, “VMD: visual molecular dynamics,” Journal of Molecular Graphics, vol. 14, no. 1, pp. 33–38, 1996. View at Publisher · View at Google Scholar · View at Scopus
  24. P. Chamorro-Posada, “Study of the terahertz spectra of crystalline materials using NDDO semi-empirical methods: polyethylene, poly(vinylidene fluoride) form II and α-D-glucose,” https://arxiv.org/abs/1604.03919.