Регрессионный анализ в разработке методики выделения и количественного определения водорастворимых полисахаридов из корней лопуха обыкновенного

Abstract

Ultrasound is a promising method of influencing medicinal plant raw materials in order to intensify the release of various biologically active substances, including water-soluble polysaccharides (WSPS). This article describes the selection of optimal parameters for the ultrasonic extraction of WSPS from burdock roots based on regression analysis. The initial conditions and the data obtained during the experiments made it possible to present the regression model in the form of a linear multiple regression equation, which can be used with sufficient accuracy in prediction and analysis. The adequacy of the model was confirmed by testing hypotheses against Pearson’s x 2 criterion. The correlation coefficient derived from the values of the regression coefficient and the mean square deviation was used in determining the tightness of the overall relationship between the source and the obtained data. In addition, a detailed study of a sample of those variables whose priority was not clearly expressed was carried out by processing when fixing their values. The most important conditions for the extraction of the roots of ordinary burdock in order to obtain the most stable performance should be considered: extraction temperature — 80 °C; extraction multiplicity — 3, ultrasound frequency — 35 kHz, extraction time — 30 min, while the crumbling of the raw material can vary from 0.2 mm to 0.5 mm, the ratio of raw material and extractant from 1 g per 20 ml to 1 g per 30 ml. 10.30906/2073-8099-2022-14-2-54-60