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Catalytic Sulfation of Betulin with Sulfamic Acid: Experiment and DFT Calculation.

Aleksandr S KazachenkoFeride AkmanNatalya Yu VasilievaNoureddine IssaouiYuriy N MalyarAleksandr A KondrasenkoValentina S BorovkovaAngelina V MiroshnikovaAnna S KazachenkoOmar M AldossaryMarek J WojcikYaroslava D BerezhnayaEvgeniy V Elsuf'ev
Published in: International journal of molecular sciences (2022)
Betulin is an important triterpenoid substance isolated from birch bark, which, together with its sulfates, exhibits important bioactive properties. We report on a newly developed method of betulin sulfation with sulfamic acid in pyridine in the presence of an Amberlyst ® 15 solid acid catalyst. It has been shown that this catalyst remains stable when being repeatedly (up to four cycles) used and ensures obtaining of sulfated betulin with a sulfur content of ~10%. The introduction of the sulfate group into the betulin molecule has been proven by Fourier-transform infrared, ultraviolet-visible, and nuclear magnetic resonance spectroscopy. The Fourier-transform infrared (FTIR) spectra contain absorption bands at 1249 and 835-841 cm -1 ; in the UV spectra, the peak intensity decreases; and, in the nuclear magnetic resonance (NMR) spectra, of betulin disulfate, carbons С3 and С28 are completely shifted to the weak-field region (to 88.21 and 67.32 ppm, respectively) with respect to betulin. Using the potentiometric titration method, the product of acidity constants K 1 and K 2 of a solution of the betulin disulfate H + form has been found to be 3.86 × 10 -6 ± 0.004. It has been demonstrated by the thermal analysis that betulin and the betulin disulfate sodium salt are stable at temperatures of up to 240 and 220 °C, respectively. The density functional theory method has been used to obtain data on the most stable conformations, molecular electrostatic potential, frontier molecular orbitals, and mulliken atomic charges of betulin and betulin disulfate and to calculate the spectral characteristics of initial and sulfated betulin, which agree well with the experimental data.
Keyphrases
  • density functional theory
  • magnetic resonance
  • molecular dynamics
  • computed tomography
  • electronic health record
  • high resolution
  • machine learning
  • deep learning
  • mass spectrometry
  • climate change
  • crystal structure