SYNTHESIS AND STUDY OF THE STRUCTURE OF BIOACTIVE MAGNESIUM SILICATE NANOPARTICLES
This paper presents the results of a study of bioactive magnesium silicate nanoparticles. The nanoparticles themselves were obtained by chemical precipitation in an aqueous medium. The size and shape of the samples were examined on a TEM microscope. It is established that objects of detection by aggregates are detected. In turn, the aggregates consist of spherical magnesium silicate nanoparticles with sizes from 10 to 20 nm. At the next stage, with the help of neural network processing of experimental data, the synthesis of nanoparticles was optimized. Analysis of the obtained ternary surface showed that to obtain samples with the smallest aggregate size (700 nm), the synthesis parameters are: temperature – 50 °C, stirring speed – 600 rpm, precursor concentration – 0.5 mol/l. Having determined the optimal parameters for the synthesis of magnesium silicate, computer quantum chemical modeling was carried out. As a result of calculations, it was found that the energy of the configuration was E = –709.302 kcal/mol, the value of chemical hardness η = 0.191 eV, and softness – S = 2.62 eV–1. Based on the data obtained, it can be concluded that MgSiO3 has a high stability and is characterized as a relatively soft molecule. At the final stage of the work, the samples were examined on an IR spectrometer. An analysis of the IR spectrum showed the presence of characteristic absorption bands, which correspond to bond vibrations in the MgSiO3 molecule.
Tags: bioactive nanoparticles magnesium silicate neural network processing of experimental data биоактивные наночастицы нейросетевая обработка экспериментальных данных силикат магния
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