Abstract
According to previously carried out research of pharmaco-technological characteristics establishment of every herbal raw material it has been defined that herbal collection includes herbal raw material of different anatomo-morphological structure. It can be reflected in the dynamics of its extraction. As a result the raw material which is completely exhausted will be saved in the extractor as ballast and the duration of the process will depend on the raw material which is extracting more slowly. It is supposed that the main factor to solve the problem of different kinds of herbal raw materials combined extraction will be particle dispersity. Reducement of fragments, external power action (mixing), time, temperature, extragent volume, phase contact surface, raw material and extragent correlation, kind of extragent play the main part here. The object of the investigation was the collection which includes Horse Chestnut, Sophora japonica, Corylus, Ononis arvensis, Melilotus officinalis, Chelidonium, Sorbus. The extraction has been carried out by 40 % ethanol that has been chosen in regard with the research data. The dynamics of raw material extraction with particles of 1, 3, 5,7 mmhave been investigated. The estimation of the research has been held according to extractive substance (y1) and ballast substance extrusion with different correlation of raw materials to extragent and extraction time. Extractive and ballast substances have been determined according to well-known method. The processing of experimental data has been conducted by means of the mathematical packet MatCad. Method of mathematical planning has been used for particle size optimization of multicomponent collection of each kind. In the processing of experimental data mathematical dependences have been received. They determine the meaning of every system answer in the parameters diapason. Particle size influence research and time culmination of even concentration on extraction of extractive and ballast substances have been held within type 2 2 experiment. Thus, the use of empiric equation during the processing of experimental data gave the opportunity to estimate and choose qualitative factor by means of analytical way having limited experimental points quantity. It allowed to optimize particle size of each kind of collection using the multicriteria optimization.
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