Optimization of process extraction of lupine cheese whey

The urgency of the jobis showed. These words of the academician A.G. Khramtsov that breakthrough technology in the dairy industry is the use of whey as a solvent for the extraction of target components of plant raw materials and obtaining valuable milk-plant extract. The problem of optimization to determine the input factors for the effective management of process of extraction. Optimization of parameters of the process was carried out experimental-statistical methods in several stages. At the first stage built regression model that adequately describes the dependence of the selected output parameter from the studied factors. A full factorial experiment (PFA) type 2 3, composed planning matrix, decorated in a table. The experiments were conducted in a double-repetition. The number of experiments in the centre of the plan selected taking into account a possible transition to the planning of the second order. The plan PFA type 2 3 gives the possibility to calculate 8 regression coefficients and construct the equation of the first order. The results of calculation of confidence errors presented in the table. Statistical processing of experimental data allowed determining the regression coefficients, check their significance, to assess the reproducibility of experiments and to establish the adequacy of the obtained regression equations of the second order on three criteria. The second stage was to optimize the parameters of extraction. Statement of a problem of optimization recorded analytically. To solve this problem we use the method of the Lagrange multipliers. According to calculated by the algorithm is composed of a system of equations containing partial derivatives of the objective function for all independent variables and undetermined Lagrange multiplier. Optimal recognized the results obtained on the 10-step optimization, providing the maximum output of extractive substances. The obtained optimal conditions of extraction. The third stage was to evaluate the precision and reliability of the obtained values of the optimization criterion (output of extractive substances).