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- W2991284114 abstract "Near-infrared (near-IR; NIR) spectroscopy is continuously advancing in biophysical and biochemical fields of investigation. For instance, recent progresses in NIR hyperspectral imaging of biological systems may be noted. However, interpretation of NIR bands for biological samples is difficult and creates a considerable barrier in exploring the full potential of NIR spectroscopy in bioscience. For this reason, we carried out a systematic study of NIR spectra of adenine, cytosine, guanine, and thymine in polycrystalline state. Interpretation of NIR spectra of these nucleobases was supported by anharmonic vibrational analysis using Deperturbed Vibrational Second-Order Perturbation Theory (DVPT2). A number of molecular models of nucleobases was applied to study the effect of the inter-molecular interactions on the NIR spectra. The accuracy of simulated NIR spectra appears to depend on the intra-layer interactions; in contrast, the inter-layer interactions are less influential. The best results were achieved by combining the simulated spectra of monomers and dimers. It is of particular note that in-plane deformation bands are far more populated than out-of-plane ones and the importance of ring modes is relatively small. This trend is in contrast to that observed in mid-IR region. As shown, the local, short-range chemical neighborhood of nucleobase molecules influence their NIR spectra more considerably. This suggests that NIR spectra are more sensitive probe of the nucleobase pairing than mid-IR ones. The obtained results allow, for the first time, to construct a frequency correlation table for NIR spectra of purines and pyrimidines." @default.
- W2991284114 created "2019-12-05" @default.
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- W2991284114 date "2019-11-22" @default.
- W2991284114 modified "2023-10-14" @default.
- W2991284114 title "Simulated NIR spectra as sensitive markers of the structure and interactions in nucleobases" @default.
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- W2991284114 doi "https://doi.org/10.1038/s41598-019-53827-6" @default.
- W2991284114 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6874539" @default.
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- W2991284114 hasPublicationYear "2019" @default.
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